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University of Groningen
Nijenborgh 9
9747 AG Groningen
The Netherlands

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2026

  1. Tello Guerrero, A. (2026). Graph Representation Learning in Smart Environments: Sensor Embeddings with Graph Neural Networks [PhD thesis]. University of Groningen.

2025

  1. Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2025). DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks. Scientific Data, 12. https://doi.org/10.1038/s41597-025-06026-0
  2. Medema, M., & Lazovik, A. (2025). A safeness condition for minimal separators based on vertex connectivity. Discrete Mathematics, 348(9). https://doi.org/10.1016/j.disc.2025.114524
  3. Ahmed, S., Dustegor, D., Lazovik, A., & Wörtche, H. J. (2025, August 22). Windowed Multivariate LSTM Autoencoder for Leak Detection in Water Distribution Networks. The 21st Computing and Control in the Water Industry Conference (CCWI 2025). https://doi.org/10.15131/shef.data.29921204.v1
  4. Boughzala, B., Koldehofe, B., & Lazovik, A. (2025). P4mCast: Accelerating and Scaling Fault-Tolerant Atomic Multicast in Multi-Cloud Environment. Proceeding of the 45th IEEE International Conference on Distributed Computing Systems (ICDCS 2025), 1–6. https://hdl.handle.net/11370/fb229f6c-4e0e-4139-b7c0-a6b21673028e
  5. Tello, A., & Degeler, V. (2025). Contrasting Global and Local Representations for Human Activity Recognition using Graph Neural Networks. 40th Annual ACM Symposium on Applied Computing, SAC 2025, 630–637. https://doi.org/10.1145/3672608.3707743
  6. Boughzala, B., & Koldehofe, B. (2025). In-Network Splitter Function Enabling Highly-Parallel Event Stream Processing. 4th KuVS Expert Talk on Network Softwarization (KuVS FG NetSoft), 1–3. https://doi.org/http://dx.doi.org/10.15496/publikation-105107
  7. Chen, L., Saleh, S., Tavormina, F., Mario, L., Li, J., Xie, Z., Masciocchi, N., Brabec, C., Koldehofe, B., & Loi, M. A. (2025). Modulating trapping in low dimensional lead-tin halides for energy-efficient neuromorphic electronics. Advanced Materials.
  8. Saleh, S. (2025). Methods and Design for Analog Computing Architectures: Memristors for Enhancing Expressiveness and Energy-Efficiency of Packet Processors (p. 212) [PhD thesis, University of Groningen]. https://doi.org/10.33612/diss.1157857827
  9. Ahmed, S., Düştegör, D., Lazovik, A., & Wörtche, H. (2025). Windowed Multivariate LSTM Autoencoder for Leak Detection in Water Distribution Networks. The University of Sheffield. https://doi.org/10.15131/SHEF.DATA.29921204.V1

2024

  1. Hadadian Nejad Yousefi, M., Degeler, V., & Lazovik, A. (2024). Self-Adaptive Service Selection for Machine Learning Continuous Delivery. IEEE International Conference on Web Services, 1048–1056. https://doi.org/10.1109/ICWS62655.2024.00123
  2. Medema, M., Breeman, L., & Lazovik, A. (2024). Limiting the memory consumption of caching for detecting subproblem dominance in constraint problems. Constraints, 29, 152–191. https://doi.org/10.1007/s10601-024-09374-7
  3. Boughzala, B., & Koldehofe, B. (2024). Poster: In-Network Total Order Guarantees Supporting State Machine Replication with P4 Programmable Switches. Proceedings of the 32nd IEEE International Conference on Network Protocols (IEEE ICNP 2024), 1–3. https://doi.org/10.1109/ICNP61940.2024.10858540
  4. Tello, A., Truong, H., Lazovik, A., & Degeler, V. (2024, September 4). Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks. Engineering Proceedings. https://doi.org/10.3390/engproc2024069050
  5. Groefsema, H., & van Beest, N. R. T. P. (2024). Supporting business process variability through declarative process families. Computers in Industry, 159-160. https://doi.org/10.1016/j.compind.2024.104107
  6. Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2024). Graph Neural Networks for Pressure Estimation in Water Distribution Systems. Water Resources Research, 60(7). https://doi.org/10.1029/2023WR036741
  7. Boughzala, B., & Koldehofe, B. (2024). In-Network Management of Parallel Data Streams over Programmable Data Planes. Proceedings of the 23rd International Federation for Information Processing Networking Conference (IFIP NETWORKING 2024), 50–58. https://doi.org/10.23919/IFIPNetworking62109.2024.10619812
  8. Khalil, A., Lotfian Delouee, M., Degeler, V., Meuser, T., & A. Fernandez Anta, B. K. (2024, June 11). Driving Towards Efficiency: Adaptive Resource-aware Clustered Federated Learning in Vehicular Networks. The 22nd Mediterranean Communication and Computer Networking Conference (MedComNet’24). https://research.rug.nl/en/publications/driving-towards-efficiency-adaptive-resource-aware-clustered-fede
  9. Saleh, S., Goossens, A. S., Shu, S., Banerjee, T., & Koldehofe, B. (2024, June). Analog In-Network Computing through Memristor-based Match-Compute Processing. Proceedings of the 43rd International Conference on Computer Communications (INFOCOM 2024). https://hdl.handle.net/11370/bae8a4e6-61c6-46c6-b8a3-c9d054610009
  10. Saleh, S., Shu, S., & Koldehofe, B. (2024, June). dAQM: Derivative-based Active Queue Management. Proceedings of the 23rd IFIP Networking Conference (NETWORKING 2024). https://hdl.handle.net/11370/70f406a6-c56f-4968-9f41-fb91eecea7a8
  11. Saleh, S., Shu, S., & Koldehofe, B. (2024, May). Adaptive In-Network Queue Management using Derivatives of Sojourn Time and Buffer Size. Proceedings of the 37th Network Operations and Management Symposium (NOMS 2024) . https://hdl.handle.net/11370/54af0761-645c-4bce-8c0a-c3bbd8c90358
  12. Tello, A., Degeler, V., & Lazovik, A. (2024). Too Good To Be True: accuracy overestimation in (re)current practices for Human Activity Recognition. 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events, PerCom Workshops 2024, 511–517. https://doi.org/10.1109/PerComWorkshops59983.2024.10503465
  13. Saleh, S., & Koldehofe, B. (2024, April). Beyond Digital! Memristor-based Energy Efficient Analog Network Functions. ICT.OPEN - CompSys Research for a Responsibly Digitalised Society. https://www.cs.rug.nl/ds/Publications/Publications
  14. Lotfian Delouee, M., Degeler, V., Amthor, P., & Koldehofe, B. (2024, February 26). APP-CEP: Adaptive Pattern-level Privacy Protection in Complex Event Processing Systems. The 10th International Conference on Information Systems Security and Privacy (ICISSP 2024). https://research.rug.nl/en/publications/app-cep-adaptive-pattern-level-privacy-protection-in-complex-even
  15. Saleh, S., & Koldehofe, B. (2024, January). Towards Analog In-Network Computing for Supporting Cognitive and Energy-Efficient Network Functions. 6th International Conference on Applications of Intelligent Systems (APPIS 2024). https://www.cs.rug.nl/ds/Publications/Publications
  16. Degeler, V., Hadadian, M., Karabulut, E., Lazovik, A., Loo, H. van het, Tello, A., & Truong, H. (2024). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation (pp. 62–82). Springer International Publishing, Cham, Switzerland. https://doi.org/10.1007/978-3-031-75390-9_5
  17. Rigoni, D., & Düştegör, D. (2024). Science-Twins: Digital Twins for Interactive Lecture Demonstrations. 1st International Workshop on Distributed Digital Twins, DiDit 2024.
  18. Y., M. H. N., Degeler, V., & Lazovik, A. (2024). Self-adaptive service selection for machine learning continuous delivery. 2024 IEEE International Conference on Web Services (ICWS).
  19. Degeler, V., Hadadian, M., Karabulut, E., Lazovik, H. A., van het Loo, H., Tello, A., & Troung, H. (2024). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks.
  20. Adi Paramartha Putra, M., Bogi Aditya Karna, N., Naufal Alief, R., Zainudin, A., Kim, D.-S., Lee, J.-M., & Sampedro, G. A. (2024). PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network. IEEE Access, 12, 82413–82426.
  21. Zainudin, A., Putra, M. A. P., Alief, R. N., Akter, R., Kim, D.-S., & Lee, J.-M. (2024). Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse. IEEE Internet of Things Journal, 11(10), 18221–18236.
  22. Zainudin, A., Paramartha Putra, M. A., Alief, R. N., Kim, D.-S., & Lee, J.-M. (2024). Blockchain-aided Collaborative Threat Detection for Securing Digital Twin-based IIoT Networks. IEEE International Conference on Communications, 4656–4661.
  23. Putra, M. A. P., Karna, N., Hertiana, S. N., Zainudin, A., Alief, R. N., Sampedro, G. A., Kim, D.-S., & Lee, J.-M. (2024). SECC: A Secure and Efficient Communication Channel for Federated Learning System. International Conference on ICT Convergence, 2099–2104.
  24. Golam, M., Ara Tuli, E., Naufal Alief, R., Kim, D.-S., & Lee, J.-M. (2024). Meta-Learning: A Digital Learning Management Framework Using Blockchain for Metaverses. IEEE Access, 12, 92774–92786.
  25. Putra, M. A. P., Alief, R. N., Rachmawati, S. M., Sampedro, G. A., Kim, D.-S., & Lee, J.-M. (2024). Proof-of-authority-based secure and efficient aggregation with differential privacy for federated learning in industrial IoT. Internet of Things Netherlands, 25.

2023

  1. Saleh, S., & Koldehofe, B. (2023, December). The Future is Analog: Energy-Efficient Cognitive Network Functions over Memristor-Based Analog Computations. Proceedings of the 22nd ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets 2023). https://doi.org/10.1145/3626111.3628192
  2. Saleh, S., & Koldehofe, B. (2023, December). Memristor-based Network Switching Architecture for Energy Efficient Cognitive Computational Models. Proceedings of the 18th International Symposium on Nanoscale Architectures (NanoArch 2023). https://doi.org/10.1145/3611315.3633272
  3. van Beest, N., Groefsema, H., Cryer, A., Governatori, G., Colombo Tosatto, S., & Burke, H. (2023). Cross-Instance Regulatory Compliance Checking of Business Process Event Logs. IEEE Transactions on Software Engineering, 49(11), 1–14. https://doi.org/10.1109/TSE.2023.3319086
  4. Yousefi, M. H. N., Degeler, V., & Lazovik, A. (2023). Empowering Machine Learning Development with Service-Oriented Computing Principles. In M. Aiello, J. Barzen, S. Dustdar, & F. Leymann (Eds.), Service-Oriented Computing (pp. 24–44). Springer. https://doi.org/10.1007/978-3-031-45728-9_2
  5. Saleh, S., Goossens, A. S., Banerjee, T., & Koldehofe, B. (2023, September). Memristor-based Probabilistic Content Addressable Memory for Cognitive Network Functions. Neuromorphic Computing Netherlands (NCN 2023) Workshop [Posters].
  6. Saleh, S., Goossens, A. S., Banerjee, T., & Koldehofe, B. (2023, August). PAmM: Memristor-based Probabilistic Associative Memory for Neuromorphic Network Functions. Proceedings of the Non-Volatile Memory Technology Symposium (NVMTS 2023).
  7. Truong, H., Tello, A., Degeler, V., Lazovik, A., & Koellermeier, J. (2023, July 7). Distorted or high-fidelity dataset for data augmentation in Graph Neural Networks?: Improving pressure estimation in Water Distribution Systems. https://2023.ecmlpkdd.org/submissions/phd-forum/
  8. Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2023, June 27). AQuA-CEP: Adaptive Quality-Aware Complex Event Processing in the Internet of Things. Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems (DEBS 2023). https://research.rug.nl/en/publications/aqua-cep-adaptive-quality-aware-complex-event-processing-in-the-i
  9. Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2023, June 28). Towards Pattern-Level Privacy Protection in Distributed Complex Event Processing. The 17th ACM International Conference on Distributed and Event-Based Systems (DEBS 2023). https://research.rug.nl/en/publications/towards-pattern-level-privacy-protection-in-distributed-complex-e
  10. Saleh, S., & Koldehofe, B. (2023, June). Memristor-based Cognitive and Energy-Efficient Analog In-network Computing. Neuromorphic Summer School [Posters].
  11. Haghshenas, K., Setz, B., Blosch, Y., & Aiello, M. (2023). Enough Hot Air: The Role of Immersion Cooling. Energy Informatics. https://energyinformatics.springeropen.com/articles/10.1186/s42162-023-00269-0
  12. Piontek, T., Haghshenas, K., & Aiello, M. (2023). Carbon Emission-Aware Job Scheduling for Kubernetes Deployments. The Journal of Supercomputing. https://link.springer.com/article/10.1007/s11227-023-05506-7
  13. Y., M. H. N., Degeler, V., & Lazovik, A. (2023). Empowering Machine Learning Development with Service-Oriented Computing Principles. Symposium and Summer School on Service-Oriented Computing, 24–44.
  14. Zainudin, A., Alief, R. N., Adi Paramartha Putra, M., Akter, R., Lee, J.-M., & Kim, D.-S. (2023). Blockchain-aided Decentralized Collaborative Automatic Modulation Classification for Next-Generation Wireless Networks. International Conference on ICT Convergence, 1058–1063.
  15. Putra, M. A. P., Zainudin, A., Alief, R. N., Sampedro, G. A., Kim, D.-S., & Lee, J.-M. (2023). Blockchain-based Federated Learning for Bearing Fault Detection in the Industrial Internet of Things. International Conference on ICT Convergence, 1069–1074.
  16. Alief, R. N., Paramartha Putra, M. A., Gohil, A., Lee, J.-M., & Kim, D.-S. (2023). FLB2: Layer 2 Blockchain Implementation Scheme on Federated Learning Technique. 5th International Conference on Artificial Intelligence in Information and Communication Icaiic 2023, 846–850.
  17. Alief, R. N., Rachmawati, S. M., Lee, J. M., & Kim, D.-S. (2023). Malicious Account Classification Using CNN for Ethereum Blockchain?s Accounts. Journal of Korean Institute of Communications and Information Sciences, 48(7), 875–884.
  18. Allwinnaldo, Ansori, M. R. R., Alief, R. N., Lee, J. M., & Kim, D.-S. (2023). Efficient Blockchain-Based Energy Auction Platform for Secured Energy Trading on Industrial Applications. Journal of Korean Institute of Communications and Information Sciences, 48(7), 885–895.
  19. Paramartha Putra, M. A., Rachmawati, S. M., Alief, R. N., Chijioke Ahakonye, L. A., Gohil, A., Kim, D.-S., & Lee, J.-M. (2023). Federated Learning-Enabled Digital Twin for Smart Additive Manufacturing Industry. 5th International Conference on Artificial Intelligence in Information and Communication Icaiic 2023, 806–811.
  20. Ansori, M. R. R., Allwinnaldo, Alief, R. N., Igboanusi, I. S., Lee, J. M., & Kim, D.-S. (2023). HADES: Hash-Based Audio Copy Detection System for Copyright Protection in Decentralized Music Sharing. IEEE Transactions on Network and Service Management, 20(3), 2845–2853.
  21. Zainudin, A., Alief, R. N., Putra, M. A. P., Akter, R., Kim, D.-S., & Lee, J.-M. (2023). Blockchain-Based Decentralized Trust Aggregation for Federated Cyber-Attacks Classification in SDN-Enabled Maritime Transportation Systems. 2023 IEEE International Conference on Communications Workshops Sustainable Communications for Renaissance Icc Workshops 2023, 182–187.

2022

  1. Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2022, December 14). Towards adaptive quality-aware Complex Event Processing in the Internet of Things. Proceedings of the 18th International Conference on Mobility, Sensing and Networking (MSN 2022). https://doi.org/10.1109/MSN57253.2022.00095
  2. Saleh, S., & Koldehofe, B. (2022). On Memristors for Enabling Energy Efficient and Enhanced Cognitive Network Functions. IEEE Access, 10, 129279–129312. https://doi.org/10.1109/ACCESS.2022.3226447
  3. Saleh, S., Goossens, A. S., Banerjee, T., & Koldehofe, B. (2022, December). TCAmMCogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing. Proceedings of the 7th International Conference on Rebooting Computing (ICRC 2022). https://doi.org/10.1109/ICRC57508.2022.00013
  4. Medema, M., & Lazovik, A. (2022). Correlating the Community Structure of Constraint Satisfaction Problems with Search Time. International Journal on Artificial Intelligence Tools, 31(7). https://doi.org/10.1142/S0218213022600041
  5. Saleh, S., Goossens, A. S., Banerjee, T., & Koldehofe, B. (2022, November). Using Memristors for Energy Efficient Cognitive Network Functions. Symposium on Physics of Information in Matter [Poster Session]. https://research.rug.nl/en/publications/using-memristors-for-energy-efficient-cognitive-network-functions
  6. Riesebos, R., Degeler, V., & Tello, A. (2022). Smartphone-Based Real-Time Indoor Positioning Using BLE Beacons. 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022, 1281–1288. https://doi.org/10.1109/CASE49997.2022.9926639
  7. Saleh, S., Goossens, A. S., Banerjee, T., & Koldehofe, B. (2022, October). Towards Energy Efficient Memristor-based TCAM for Match-Action Processing. Proceedings of the 13th International Green and Sustainable Computing Conference (IGSC 2022). https://doi.org/10.1109/IGSC55832.2022.9969354
  8. Saleh, S., Goossens, A. S., Banerjee, T., & Koldehofe, B. (2022, October). In-Network Computing Over Memristor-Based Cognitive Network Functions. Brain-Inspired Concepts and Materials for Information Processing (Brainspiration) Conference [Poster Session]. https://research.rug.nl/en/publications/in-network-computing-over-memristor-based-cognitive-network-funct
  9. Groefsema, H., van Beest, N., & Governatori, G. (2022). On the Use of the Conformance and Compliance Keywords During Verification of Business Processes. In C. Di Ciccio, R. Dijkman, A. del Río Ortega, & S. Rinderle-Ma (Eds.), Business Process Management Forum (pp. 21–37). Springer. https://doi.org/10.1007/978-3-031-16171-1_2
  10. Saleh, S., & Koldehofe, B. (2022, September). Memristor-Based Cognitive Network Packet Processors. Neuromorphic Computing Netherlands (NCN 2022) Workshop [Abstracts, Talks and Posters]. https://research.rug.nl/en/publications/memristor-based-cognitive-network-packet-processors
  11. Saleh, S., Goossens, A. S., Banerjee, T., & Koldehofe, B. (2022, September). Memristor-Based Cognitive and Energy Efficient In-Network Processing. Workshop on Bio-Inspired Information Pathways [Abstracts and Posters]. https://research.rug.nl/en/publications/memristor-based-cognitive-and-energy-efficient-in-network-process
  12. Boughzala, B., Gärtner, C., & Koldehofe, B. (2022). Window-based Parallel Operator Execution with In-Network Computing. Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems, 91–96. https://doi.org/10.1145/3524860.3539804
  13. Sultana, N., Hossain, S. M. Z., Almuhaini, S. H., & Dustegor, D. (2022). Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand. Energies, 15(9). https://doi.org/10.3390/en15093425
  14. Boughzala, B., Koldehofe, B., & Gärtner, C. (2022, May 26). Window-based Parallel Operator Execution with In-Network Computing: Proceedings. Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems (DEBS ’22). https://doi.org/10.1145/3524860.3539804
  15. Kundel, R., Siegmund, F., Hark, R., Rizk, A., & Koldehofe, B. (2022). Network Testing Utilizing ProgrammableNetworking Hardware. IEEE Communications Magazine, 7 pages. https://research.rug.nl/en/publications/network-testing-utilizing-programmable-networking-hardware
  16. Gärtner, C., Rizk, A., Koldehofe, B., Guillaume, R., Kundel, R., & Steinmetz, R. (2022). On the Incremental Reconfiguration of Time-sensitive Networks at Runtime. Proceedings of the IFIP Networking Conference., 9 pages.
  17. Razavi, K., Luthra, M., Koldehofe, B., Mühlhäuser, M., & Wang, L. (2022). FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees. Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2022), 14 pages.
  18. Volnes, E., Plagemann, T., Koldehofe, B., & Goebel, V. (2022). Travel light: state shedding for efficient operator migration. Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems (DEBS’22), 79–84. https://doi.org/10.1145/3524860.3539638
  19. Agnihotri, P., Koldehofe, B., Binnig, C., & Luthra, M. (2022). PANDA: performance prediction for parallel and dynamic stream processing. Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems, 180–181. https://doi.org/10.1145/3524860.3543281
  20. Gärtner, C., Rizk, A., Koldehofe, B., Guillaume, R., Kundel, R., & Steinmetz, R. (2022). Enhancing Flexibility for Dynamic Time-Sensitive Network Configurations. Proceedings of the 3rd KuVS Fachgespräch on Network Softwarization, 2 pages. https://doi.org/10.15496/PUBLIKATION-67440
  21. Haghshenas, K., Setz, B., & Aiello, M. (2022). CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads. 2022 IEEE International Conference on Big Data (Big Data). https://doi.org/10.1109/BigData55660.2022.10020544
  22. Sadhu, K., Haghshenas, K., Rouhani, M., & Aiello, M. (2022). Optimal Joint Operation of Coupled Transportation and Power Distribution Urban Networks. Energy Informatics. https://energyinformatics.springeropen.com/articles/10.1186/s42162-022-00249-w
  23. Igboanusi, I. S., Allwinnaldo, A., Alief, R. N., Ansori, M. R. R., Lee, J.-M., & Kim, D.-S. (2022). Smart auto mining (SAM) for industrial IoT blockchain network. Iet Communications, 16(18), 2123–2132.
  24. Saviour Igboanusi, I., Allwinnaldo, Naufal Alief, R., Rasyid Redha Ansori, M., Lee, J.-M., & Kim, D.-S. (2022). Ethereum Based Storage Aware Mining for Permissioned Blockchain Network. International Conference on Ubiquitous and Future Networks Icufn, 2022-July, 161–166.
  25. Igboanusi, I. S., Alief, R. N., Ansori, M. R. R., Allwinnaldo, A., Lee, J.-M., & Kim, D.-S. (2022). Pure Voting (PV): An Offline Voting Algorithm. Apcc 2022 27th Asia Pacific Conference on Communications Creating Innovative Communication Technologies for Post Pandemic Era, 586–587.

2021

  1. Governatori, G., van Beest, N., Cryer, A., & Groefsema, H. (2021). log data compliance [Patent].
  2. Alasmar, M., & Bazlamacci, C. F. (2021, November). Workload Distribution on Heterogeneous Platforms. 2021 International Conference on Computer, Information and Telecommunication Systems (CITS). https://doi.org/10.1109/cits52676.2021.9618353
  3. Pratama, A. R., Blaauw, F. J., Lazovik, A., & Aiello, M. (2021). Office Low-Intrusive Occupancy Detection Based on Power Consumption. IEEE Access, 9, 141167–141180. https://doi.org/10.1109/ACCESS.2021.3119997
  4. Tello, A., & Degeler, V. (2021). Digital Twins: An enabler for digital transformation. In B. S. Baalmans, T. L. J. Broekhuizen , & N. E. Fabian (Eds.), The Digital Transformation (pp. 177–203). Groningen Digital Business Centre (GDBC).
  5. Boughzala, B. (2021). Accelerating the Performance of Data Analytics using Network-centric Processing. Proceedings of the 15th ACM International Conference on Distributed and Event-Based Systems, 192–195. https://doi.org/10.1145/3465480.3468162
  6. Jan, F., Min-Allah, N., & Düştegör, D. (2021). IoT Based Smart Water Quality Monitoring: Recent Techniques, Trends and Challenges for Domestic Applications. Water, 13(13), 1729. https://doi.org/10.3390/w13131729
  7. Li, X., Li, L., Lazovik, A., Wang, W., & Wang, X. (2021). 基于改进双流卷积递归神经网络的RGB-D物体识别方法. Guangdian Gongcheng/Opto-Electronic Engineering, 48(2). https://doi.org/10.12086/oee.2021.200069
  8. Langley, D., Doorn, van, J., Ng, I. C. I., Stieglitz, S., Lazovik, A., & Boonstra, A. (2021). The Internet of Everything: Smart things and their impact on business models. Journal of Business Research, 122, 853–863. https://doi.org/10.1016/j.jbusres.2019.12.035
  9. Medema, M., Kaldeli, E., & Lazovik, A. (2021). Automated Service Composition Using AI Planning and Beyond. In M. Aiello, A. Bouguettaya, D. A. Tamburri, & W.-J. van den Heuvel (Eds.), Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future: Essays Dedicated to Michael Papazoglou on the Occasion of His 65th Birthday and His Retirement (pp. 16–32). Springer. https://doi.org/10.1007/978-3-030-73203-5_2
  10. Albers, T., Lazovik, E., Hadadian Nejad Yousefi, M., & Lazovik, A. (2021). Adaptive On-the-Fly Changes in Distributed Processing Pipelines. Frontiers in Big Data, 4. https://doi.org/10.3389/fdata.2021.666174
  11. Fiorini, L. (2021). Multi-Energy Management of Buildings in Smart Grids [PhD thesis, University of Groningen]. https://doi.org/10.33612/diss.178373601
  12. Al-Saudi, K., Degeler, V., & Medema, M. (2021). Energy Consumption Patterns and Load Forecasting with Profiled CNN-LSTM Networks. Processes, 9(11). https://doi.org/10.3390/pr9111870
  13. Li, X., Zhang, Z., Wu, D., Medema, M., & Lazovik, A. (2021). A multi-robot allocation model for multi-object based on Global Optimal Evaluation of Revenue. International Journal of Advanced Robotic Systems, 18(6). https://doi.org/10.1177/17298814211060650
  14. Albers, T., Lazovik, E., Yousefi, M. H. N., & Lazovik, A. (2021). Adaptive On-the-fly Changes in Distributed Processing Pipelines. Frontiers in Big Data, 79.
  15. Akbarinejad, S., Yousefi, M. H. N., & Goudarzi, M. (2021). SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networks. BMC Bioinformatics, 22(1), 1–17.
  16. Kundel, R., Nobach, L., Blendin, J., Maas, W., Zimber, A., Kolbe, H., Schyguda, G., Gurevich, V., Hark, R., Koldehofe, B., & Steinmetz, R. (2021). OpenBNG: Central office network functions on programmable data plane hardware. International Journal of Network Management, 31(e2134), 25 pages. https://doi.org/10.1002/nem.2134
  17. Luthra, M., Koldehofe, B., Danger, N., Weisenburger, P., Salvaneschi, G., & Stavrakakis., I. (2021). TCEP: Transitions in Operator Placement to Adapt to Dynamic Network Environments. In Journal of Computer and Systems Sciences (JCSS), Special Issue on Algorithmic Theory of Dynamic Networks and Its Applications., 122, 94–125. https://doi.org/10.1016/j.jcss.2021.05.003
  18. Alkhalili, Y., Weil, J., Tahir, A., Meuser, T., Koldehofe, B., Mauthe, A., Koeppl, H., & Steinmetz, R. (2021). Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming. Proceedings of the Conference on Networked Systems 2021 (NetSys 2021), 15 pages. https://doi.org/10.14279/TUJ.ECEASST.80.1167
  19. Kundel, R., Rizk, A., Blendin, J., Koldehofe, B., Hark, R., & Steinmetz, R. (2021). P4-CoDel: Experiences on Programmable Data Plane Hardware. Proceedings of the IEEE International Conference on Communications (ICC 2021): Next-Generation Networking and Internet Symposium, 6 pages. https://doi.org/10.1109/ICC42927.2021.9500943
  20. Gärtner, C., Rizk, A., Koldehofe, B., Hark, R., Guillaume, R., & Steinmetz, R. (2021). Leveraging Flexibility of Time-Sensitive Networks for dynamic Reconfigurability. Proceedings of IFIP Networking 2021, 5 pages. https://dl.ifip.org/db/conf/networking/networking2021/1570714136.pdf
  21. Gärtner, C., Rizk, A., Koldehofe, B., Hark, R., Guillaume, R., Kundel, R., & Steinmetz, R. (2021). Leveraging PIFO Queues for Scheduling in Time-Sensitive Networks. In the Proceedings of the IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2021)., 2 pages. https://doi.org/10.1109/LANMAN52105.2021.9478796
  22. Tello, A., & Degeler, V. (2021). Digital Twins: an enabler for digital transformation. In The Digital Transformation handbook. https://www.rug.nl/gdbc/blog/digital-twins
  23. Albers, T., Lazovik, E., Y., M. H. N., & Lazovik, A. (2021). Adaptive on-the-fly changes in distributed processing pipelines. Frontiers in Big Data, 4, 666174.
  24. Alief, R. N., Lee, J. M., & Kim, D.-S. (2021). Optimizing Multibit Spread Spectrum Audio Watermarking for Internet of Things. International Conference on ICT Convergence, 2021-October, 818–822.

2020

  1. Medema, M., & Lazovik, A. (2020). The Community Structure of Constraint Satisfaction Problems and Its Correlation with Search Time. 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 153–160. https://doi.org/10.1109/ICTAI50040.2020.00034
  2. Alyahyan, E., & Dusteaor, D. (2020, October 13). Decision Trees for Very Early Prediction of Student’s Achievement. 2020 2nd International Conference on Computer and Information Sciences, ICCIS 2020. https://doi.org/10.1109/ICCIS49240.2020.9257646
  3. Degeler, V., Heydenrijk-Ottens, L., Luo, D., van N. Oort, & van Lint, H. (2020). Unsupervised approach towards analysing the public transport bunching swings formation phenomenon. Public Transport. https://doi.org/10.1007/s12469-020-00251-z
  4. Tatar, A. E., & Düştegör, D. (2020). Prediction of Academic Performance at Undergraduate Graduation: Course Grades or Grade Point Average? Applied Sciences, 10(14), 4967. https://doi.org/10.3390/app10144967
  5. Haghshenas, K., & Mohammadi, S. (2020). Prediction-Based Underutilized and Destination Host Selection Approaches for Energy-Efficient Dynamic VM Consolidation in Data Centers. The Journal of Supercomputing. https://link.springer.com/article/10.1007/s11227-020-03248-4
  6. Haghshenas, K., Taheri, S., Goudarzi, M., & Mohammadi, S. (2020). Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization. IEEE Transactions on Cloud Computing, 10, 972–983. https://doi.org/10.1109/TCC.2020.2977040
  7. Robles, P., Tello, A., Solano-Quinde, L., & Zúñiga-Prieto, M. (2020). Temporal Analysis of 911 Emergency Calls Through Time Series Modeling. In M. Botto-Tobar, J. León-Acurio, A. Díaz Cadena, & P. Montiel Díaz (Eds.), Advances in Emerging Trends and Technologies (pp. 136–145). Springer. https://doi.org/10.1007/978-3-030-32022-5_13
  8. Pratama, A. R. (2020). Office Occupancy Detection based on Power Meters and BLE Beaconing [PhD thesis, University of Groningen]. https://doi.org/10.33612/diss.147276967
  9. Sha, A. (2020). Optimization of energy distribution in smart grids [PhD thesis, University of Groningen]. https://www.rug.nl/research/portal/files/119593412/Complete_thesis.pdf
  10. van der Gaag, M. A. E., Emerencia, N. R. S. A. C., Blaauw, F. J., Bron, G. G., & Kunnen, E. S. (2020). Theorie: processen van voortijdig schoolverlaten en begeleiding om dat te voorkomen. In M. A. E. van der Gaag, N. R. Snell, G. G. Bron, & E. S. Kunnen (Eds.), Voortijdig schoolverlaten voorkomen Perspectieven van wetenschap, praktijk en beleid (1st ed., pp. 16–29). Uitgeverij Acco. https://u-can-act.nl/wp-content/uploads/2020/05/Van-der-Gaag-et-al.-2020-Voortijdig-schoolverlaten-voorkomen_-perspectieven-van-wetenschap-praktijk-en-beleid.pdf
  11. Snell, N. R., Bron, G. G., Emerencia, A. C., Kunnen, E. S., Blaauw, F. J., de Jonge, P., & van der Gaag, M. (2020). Procesonderzoek: processen van uitvallen, blijven en begeleiding. In M. A. E. van der Gaag, N. R. Snell, G. G. Bron, & E. S. Kunnen (Eds.), Voortijdig schoolverlaten voorkomen Perspectieven van wetenschap, praktijk en beleid (1st ed., pp. 59–139). Uitgeverij Acco. https://u-can-act.nl/wp-content/uploads/2020/05/Van-der-Gaag-et-al.-2020-Voortijdig-schoolverlaten-voorkomen_-perspectieven-van-wetenschap-praktijk-en-beleid.pdf
  12. Kundel, R., Nobach, L., Blendin, J., Maas, W., Zimber, A., Kolbe, H., Schyguda, G., Gurevich, V., Hark, R., Koldehofe, B., & Steinmetz, R. (2020). OpenBNG: Central office network functions on programmable data plane hardware. International Journal of Network Management, 25 pages. https://doi.org/10.1002/nem.2134
  13. Schulte, S., Koldehofe, B., Reinhardt, A., & Braun, T. (2020). Grußwort der Gastherausgeber zum Thema Fog Computing. Informatik Spektrum, 42(6), 455—456. https://doi.org/10.1007/s00287-019-01230-w
  14. Langley, D. J., van Doorn, J., Ng, I. C. L., Stieglitz, S., Lazovik, A., & Boonstra, A. (2020). The Internet of Everything: Smart things and their impact on business models. Journal of Business Research. https://doi.org/https://doi.org/10.1016/j.jbusres.2019.12.035
  15. Yousefi, M. H. N., Ghiassi, A., Hashemi, B. S., & Goudarzi, M. (2020). Workload Scheduling on heterogeneous Mobile Edge Cloud in 5G networks to Minimize SLA Violation. ArXiv Preprint ArXiv:2003.02820.
  16. Kundel, R., Siegmund, F., Blendin, J., Rizk, A., & Koldehofe, B. (2020). P4STA: High Performance Packet Timestamping with Programmable Packet Processors. Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 9 pages. https://doi.org/10.1109/NOMS47738.2020.9110290
  17. Kundel, R., Gaertner, C., Luthra, M., Bhowmik, S., & Koldehofe, B. (2020). Flexible Content-based Publish/Subscribe over Programmable Data Planes. Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 6 pages. https://doi.org/10.1109/NOMS47738.2020.9110381
  18. Kundel, R., Rizk, A., & Koldehofe, B. (2020). Microbursts in Software and Hardware-based Traffic Load Generation. Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 2 pages. https://doi.org/10.1109/noms47738.2020.9110305
  19. Luthra, M., Hennig, S., Razavi, K., Wang, L., & Koldehofe, B. (2020). Operator as a Service: Stateful Serverless Complex Event Processing. Proceedings of the 2020 IEEE International Conference on Big Data, 1964–1973. https://doi.org/10.1109/BigData50022.2020.9378142
  20. Fiorini, L., & Aiello, M. (2020). Predictive Multi-Objective Scheduling with Dynamic Prices and Marginal CO2-Emission Intensities. ACM e-Energy 2020.
  21. Fiorini, L., Steg, L., & Aiello, M. (2020). Sustainability Choices when Cooking Pasta. ACM e-Energy 2020.
  22. Georgievski, I., Fiorini, L., & Aiello, M. (2020). Towards Service-Oriented and Intelligent Microgrids. Proceedings of the 3rd International Conference on Applications of Intelligent Systems. https://doi.org/10.1145/3378184.3378214
  23. Groefsema, H., van Beest, N. R. T. P., & Armas-Cervantes, A. (2020). Efficient conditional compliance checking of business process models. Computers in Industry, 115.

2019

  1. Kan, K., Jorg, F., Wardenaar, K. J., Blaauw, F. J., Visser, E., Buskens, E., Mulder, H., Cath, D., Doornbos, B., Schoevers, R. A., & Feenstra, T. (2019, November). Development of a decision-aid for patients with depression considering treatment options: prediction of treatment response using a data-driven approach. ISPOR Europe 2019, Copenhagen, Denmark. https://www.ispor.org/conferences-education/conferences/upcoming-conferences/ispor-europe-2019/program/program
  2. Rizky Pratama, A., Lazovik, A., & Aiello, M. (2019). Office Multi-Occupancy Detection using BLE Beacons and Power Meters. 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 0440–0448. https://doi.org/10.1109/UEMCON47517.2019.8993008
  3. Fiorini, L., & Aiello, M. (2019). Predictive CO2-Efficient Scheduling of Hybrid Electric and Thermal Loads. 2019 IEEE International Conference on Energy Internet (ICEI), 392–397.
  4. Haghshenas, K., Pahlevan, A., Zapater, M., & Atienza, D. (2019). MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Transactions on Services Computing, 15, 30–44. https://doi.org/10.1109/TSC.2019.2919555
  5. Blaauw, F., Overbeek, R., Albers, T., Vlek, J., Maessen, M., Gooijer, J., Lazovik, E., Arbab, F., & Lazovik, A. (2019, March 31). ECiDA: Evolutionary Changes in Data Analysis. https://doi.org/10.13140/RG.2.2.33143.47524
  6. Blaauw, F. J., Overbeek, R., Albers, T., Vlek, J., Maessen, M., Gooijer, J., Lazovik, E., Arbab, F., & Lazovik, A. (2019, March). ECiDA: Evolutionary Changes in Data Analysis. ICT.Open, Hilversum, The Netherlands. https://www.nwo.nl/actueel/evenementen/ict+open
  7. Bastiaansen, J. A., Kunkels, Y. K., Blaauw, F. J., Boker, S. M., Ceulemans, E., Chen, M., Chow, S., de Jonge, P., Emerencia, A. C., Epskamp, S., & et al. (2019). Time to get personal? The impact of researchers’ choices on the selection of treatment targets using the experience sampling methodology. PsyArXiv. https://doi.org/10.31234/osf.io/c8vp7
  8. Robles, P., Tello, A., Zúñiga-Prieto, M., & Solano-Quinde, L. (2019). Modeling 911 emergency events in cuenca-ecuador using geo-spatial data. Communications in Computer and Information Science, 895, 564–577.
  9. Ribadeneira, C., Tuapante, L., Siguenza-Guzman, L., Ayabaca, F., Tello, A., & Vanegas, P. (2019). A process collection methodology towards TDABC costing optimization of IT services: A case study in an ecuadorian university. RISTI - Revista Iberica De Sistemas e Tecnologias De Informacao, 2019(E20), 541–552.
  10. Saquicela, V., Segarra, J., Ortiz, J., Tello, A., Espinoza, M., Lupercio, L., & Villazón-Terrazas, B. (2019). LOD-GF: An Integral Linked Open Data Generation Framework. Advances in Intelligent Systems and Computing, 884, 283–300.
  11. Saquicela, V., Segarra, J., Ortiz, J., Tello, A., Espinoza, M., Lupercio, L., & Villazón-Terrazas, B. (2019). LOD-GF: An Integral Linked Open Data Generation Framework. In M. Botto-Tobar, L. Barba-Maggi, P. Villacrés-Cevallos, M. I. Uvidia-Fassler, J. González-Huerta, & O. S. Gómez (Eds.), Information and Communication Technologies of Ecuador (TIC.EC) (pp. 283–300). Springer. https://doi.org/10.1007/978-3-030-02828-2_21
  12. Robles, P., Tello, A., Zúñiga-Prieto, M., & Solano-Quinde, L. (2019). Modeling 911 emergency events in cuenca-ecuador using geo-spatial data. In M. Botto-Tobar, M. D’Armas, M. Zúñiga Sánchez, M. Zúñiga-Prieto, & G. Pizarro (Eds.), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers (pp. 564–577). Springer. https://doi.org/10.1007/978-3-030-05532-5_43
  13. Dü?tegör, D. (2019). Analytical tool for the modelling and simulation of curriculum: Towards automated design, assessment, and improvement. International Journal of Engineering Education, 35(2), 645–657.
  14. Dustegor, D., Farooqui, M., & Alam Khan, M. A. (2019). Fostering higher cognitive skills through design thinking in digital hardware course: A case study. ICIC Express Letters, 13(10), 891–898.
  15. Blaauw, F. J., van der Gaag, M. A. E., Snell, N. R., Emerencia, A. C., Kunnen, E. S., & de Jonge, P. (2019). The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants. Frontiers in Psychology, 10, 1808. https://doi.org/10.3389/fpsyg.2019.01808
  16. Fiorini, L., & Aiello, M. (2019). Energy management for user’s thermal and power needs: A survey. Energy Reports, 5, 1048–1076. https://doi.org/https://doi.org/10.1016/j.egyr.2019.08.003
  17. Yousefi, M. H. N., Goudarzi, M., & Motahari, S. A. (2019). IMOS: improved meta-aligner and Minimap2 on spark. BMC Bioinformatics, 20(1), 1–14.
  18. van Beest, N. R. T. P., Groefsema, H., García-Bañuelos, L., & Aiello, M. (2019). Variability in business processes: Automatically obtaining a generic specification. Information Systems, 80, 36–55. https://doi.org/10.1016/j.is.2018.09.005
  19. Allwinnaldo, Budiman, G., Novamizanti, L., Alief, R. N., & Ansori, M. R. R. (2019). QIM-based audio watermarking using polar-based singular value in DCT domain. 2019 4th International Conference on Information Technology Information Systems and Electrical Engineering Icitisee 2019, 216–221.

2018

  1. Elhussein, M. A., Dustegor, D., Nagy, N., & Alghamdi, A. K. H. (2018). The Impact of Digital Technology on Female Students’ Learning Experience in Partition-Rooms: Conditioned by Social Context. IEEE Transactions on Education, 61(4), 265–273. https://doi.org/10.1109/te.2018.2840501
  2. Düştegör, D., Elhussein, M. A., Alghamdi, A., & Nagy, N. (2018). Learning behind glass walls: Learning style and partition-room, is there a correlation? International Journal of Innovation Science, 10(4), 414–429. https://doi.org/10.1108/IJIS-09-2017-0100
  3. da Silva, J. S., Stimpfling, T., Luinaud, T., Fradj, B., & Boughzala, B. (2018). One for All, All for One: A Heterogeneous Data Plane for Flexible P4 Processing. IEEE 26th International Conference on Network Protocols (ICNP), 440–441. https://doi.org/10.1109/ICNP.2018.00063
  4. Andrikopoulos, V., Lazovik, A., Kollenstart, M., Langius, E., & Harmsma, E. (2018). Adaptive Provisioning of Heterogeneous Cloud Resources for Big Data Processing. Big Data and Cognitive Computing, 2(3). https://doi.org/10.3390/bdcc2030015
  5. Saleh, S., Qadir, J., & Ilyas, M. U. (2018). Shedding Light on the Dark Corners of the Internet: A Survey of Tor Research. Journal of Network and Computer Applications, 114, 1–28. https://doi.org/10.1016/j.jnca.2018.04.002
  6. Groefsema, H., van Beest, N. R. T. P., & Aiello, M. (2018). A Formal Model for Compliance Verification of Service Compositions. IEEE Transactions on Services Computing, 11(3), 466–479. https://doi.org/10.1109/TSC.2016.2579621
  7. Haghshenas, K., Hashemi, M., & Nikoubin, T. (2018). Fast and Energy-Efficient CNFET Adders with CDM and Sensitivity-Based Device-Circuit Co-Optimization. IEEE Transactions on Nanotechnology, 17, 783–794. https://doi.org/10.1109/TNANO.2018.2834511
  8. Bessani, M., Ribeiro, R. R. M., Pagani, G. A., Aiello, M., & Maciel, C. D. (2018). Robustness of reconfigurable complex systems by a multi-agent simulation: Application on power distribution systems. 2018 Annual IEEE International Systems Conference (SysCon), 1–6. https://doi.org/10.1109/SYSCON.2018.8369553
  9. Rizky Pratama, A., Widyawan, W., Lazovik, A., & Aiello, M. (2018). Multi-User Low Intrusive Occupancy Detection. Sensors, 18(3). https://doi.org/10.3390/s18030796
  10. Hidalgo-Delgado, Y., Estrada-Nelson, R., Xu, B., Villazon-Terrazas, B., Leiva-Mederos, A., & Tello, A. (2018). Methodological guidelines for publishing library data as linked data. Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017, 241–246. https://doi.org/10.1109/INCISCOS.2017.17
  11. Bahnasy, M., Elbiaze, H., & Boughzala, B. (2018). Zero-queue ethernet congestion control protocol based on available bandwidth estimation. Journal of Network and Computer Applications, 105, 1–20. https://doi.org/10.1016/j.jnca.2017.12.016
  12. Crespo, J., Tello, A., Saquicela, V., Palacio-Baus, K., & Espinoza, M. (2018). TV program recommender using user authentication on middleware Ginga. 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, 1–6. https://doi.org/10.1109/ETCM.2017.8247471
  13. Rizky Pratama, A., Widyawan, W., Lazovik, A., & Aiello, M. (2018). Power-Based Device Recognition for Occupancy Detection. In L. Braubach, J. M. Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, & M. Oriol (Eds.), Service-Oriented Computing - ICSOC 2017 Workshops (1st ed., Vol. 10797). Springer.
  14. Rizky Pratama, A., Simanjuntak, F. J., Lazovik, A., & Aiello, M. (2018). Low-power Appliance Recognition using Recurrent Neural Networks. Frontiers in AI and Applications (FAIA).
  15. Hidalgo-Delgado, Y., Estrada-Nelson, R., Xu, B., Villazon-Terrazas, B., Leiva-Mederos, A., & Tello, A. (2018). Methodological guidelines for publishing library data as linked data. Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017, 2017-November, 241–246.
  16. Saquicela, V., Vilches-Blazquez, L. M., & Tello, A. (2018). Challenges and trends about smart big geospatial data: A position paper. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018-January, 3471–3475.
  17. Crespo, J., Tello, A., Saquicela, V., Palacio-Baus, K., & Espinoza, M. (2018). TV program recommender using user authentication on middleware Ginga. 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, 2017-January, 1–6.
  18. Dü?tegör, D., Sultana, N., Felemban, N., & Al Qahtani, D. (2018). A smarter electricity grid for the Eastern Province of Saudi Arabia: Perceptions and policy implications. Utilities Policy, 50, 26–39.
  19. Sameh, H., Aiman, K., & Dustegor, D. (2018). A remotely piloted aerial system for a faster processing of traffic collisions towards reducing the resulting road congestion. 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017.
  20. Elhussein, M. A., Dustegor, D., Nagy, N., & Alghamdi, A. K. H. (2018). The impact of digital technology on female students’ learning experience in partition-rooms: Conditioned by social context. IEEE Transactions on Education, 61(4), 265–273.
  21. Dü?tegör, D., Elhussein, M. A., Alghamdi, A., & Nagy, N. (2018). Learning behind glass walls: learning style and partition-room, is there a correlation? International Journal of Innovation Science, 10(4), 414–429.
  22. Aiello, M. (2018). The Web Was Done by Amateurs: A Reflection on One of the Largest Collective Systems Ever Engineered. Springer.
  23. Aiello, M., Yang, Y., Zou, Y., & Zhang, L.-J. (Eds.). (2018). Artificial Intelligence and Mobile Services - AIMS 2018 (Vol. 10970). Springer. http://dx.doi.org/10.1007/978-3-319-94361-9
  24. Blaauw, F. J. (2018). The non-existent average individual: Automated personalization in psychopathology research by leveraging the capabilities of data science [PhD thesis, University of Groningen]. http://hdl.handle.net/11370/ab67f288-309b-4d23-adab-0df7c8bb1f26
  25. Bos, F. M., Blaauw, F. J., Snippe, E., van der Krieke, L., de Jonge, P., & Wichers, M. (2018). Exploring the emotional dynamics of subclinically depressed individuals with and without anhedonia: An experience sampling study. Journal of Affective Disorders, 228, 186–193. https://doi.org/https://doi.org/10.1016/j.jad.2017.12.017
  26. Fiorini, L., Aiello, M., Poli, D., & Pelacchi, P. (2018). Topological Considerations on the Use of Batteries to Enhance the Reliability of HV-Grids . Journal of Energy Storage , 18, 316–326. https://doi.org/https://doi.org/10.1016/j.est.2018.04.025
  27. Dijkhuis, T. B., Blaauw, F. J., van Ittersum, M. W., Velthuijsen, H., & Aiello, M. (2018). Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors, 18(2). https://doi.org/10.3390/s18020623
  28. Sha, A., & Aiello, M. (2018). Topological Considerations on Decentralised Energy Exchange in the Smart Grid. Procedia Computer Science, 130, 720–727. https://doi.org/https://doi.org/10.1016/j.procs.2018.04.126
  29. Yousefi, M. H. N., & Goudarzi, M. (2018). A task-based greedy scheduling algorithm for minimizing energy of mapreduce jobs. Journal of Grid Computing, 16(4), 535–551.
  30. Fiorini, L., & Aiello, M. (2018). Household CO2-efficient energy management. Energy Informatics.
  31. Kalksma, M., Setz, B., Pratama, A. R., Georgievski, I., & Aiello, M. (2018). Mining Sequential Patterns for Appliance Usage Prediction. International Conference on Smart Cities and Green ICT Systems.

2017

  1. Rizky Pratama, A., Widyawan, W., Lazovik, A., & Aiello, M. (2017). Indoor self-localization via bluetooth low energy beacons. IJBT : International Journal of Biotechnology, 1(1), 1–15.
  2. Pratama, A. R., Widyawan, Lazovik, A., & Aiello, M. (2017). Power-Based Device Recognition for Occupancy Detection. Service-Oriented Computing - ICSOC 2017 Workshops, in press.
  3. Georgievski, I., Nguyen, T. A., Nizamic, F., Setz, B., Lazovik, A., & Aiello, M. (2017). Planning meets activity recognition: Service coordination for intelligent buildings. Pervasive and Mobile Computing, 38(Part 1), 110–139. https://doi.org/10.1016/j.pmcj.2017.02.008
  4. Saquicela, V., Vilches-Blazquez, L. M., & Tello, A. (2017). Challenges and trends about smart big geospatial data: A position paper. In J.-Y. Nie, Z. Obradovic, T. Suzumura, R. Ghosh, R. Nambiar, C. Wang, H. Zang, R. Baeza-Yates, R. Baeza-Yates, X. Hu, J. Kepner, A. Cuzzocrea, J. Tang, & M. Toyoda (Eds.), Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017 (pp. 3471–3475). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/BigData.2017.8258335
  5. Fiorini, L., Pagani, G. A., Pelacchi, P., Poli, D., & Aiello, M. (2017). Sizing and Siting of Large-Scale Batteries in Transmission Grids to Optimize the Use of Renewables. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 7(2), 285–294. https://doi.org/10.1109/JETCAS.2017.2657795
  6. Schweitzer, E., Scaglione, A., Monti, A., & Pagani, G. A. (2017). Automated Generation Algorithm for Synthetic Medium Voltage Radial Distribution Systems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 7(2), 271–284. https://doi.org/10.1109/JETCAS.2017.2682934
  7. Bahnasy, M., Elbiaze, H., & Boughzala, B. (2017). HetFlow: A Distributed Delay-based Congestion Control for Data Centers to Achieve Ultra Low Queueing Delay. 2017 IEEE International Conference on Communications (ICC), 1–7. https://doi.org/10.1109/ICC.2017.7997244
  8. Ayub, N., Raja, M., Saleh, S., & Ilyas, M. U. (2017). MuGKeG: Secure Multi-channel Group Key Generation Algorithm for Wireless Networks. Wireless Personal Communications, 96(3), 4799–4818. https://doi.org/10.1007/s11277-017-4423-9
  9. Gillani, M., Ilyas, M. U., Saleh, S., Alowibdi, J. S., Aljohani, N., & Alotaibi, F. S. (2017). Post Summarization of Microblogs of Sporting Events. Proceedings of the 26th International Conference on World Wide Web Companion, 59–68. https://doi.org/10.1145/3041021.3054146
  10. Putra, G., Rizky Pratama, A., Lazovik, A., & Aiello, M. (2017, March 2). Comparison of Energy Consumption in Wi-Fi and Bluetooth Communication in a Smart Building. IEEE Annual Computing and Communication Workshop and Conference. https://doi.org/10.1109/CCWC.2017.7868425
  11. Dijkhuis, T., Otter, R., Velthuijsen, H., & Lemmink, K. A. P. M. (2017, March). Prediction of Running Injuries from Training Load: a Machine Learning Approach. International Conference on EHealth, Telemedicine, and Social Medicine. https://research.hanze.nl/en/publications/prediction-of-running-injuries-from-training-load-a-machine-learn
  12. Javed, U., Iqbal, A., Saleh, S., Haider, S. A., & Ilyas, M. U. (2017). A Stochastic Model for Transit Latency in OpenFlow SDNs. Computer Networks, 113, 218–229. https://doi.org/10.1016/j.comnet.2016.12.015
  13. Georgievski, I., Nizamic, F., Lazovik, A., & Aiello, M. (2017). Cloud Ready Applications Composed via HTN Planning. 10th IEEE International Conference on Service Oriented Computing and Applications. https://doi.org/10.1109/SOCA.2017.19
  14. Lazovik, E., Medema, M., Albers, T., Langius, E., & Lazovik, A. (2017). Runtime Modifications of Spark Data Processing Pipelines. International Conference on Cloud and Autonomic Computing (ICCAC), 34–45. https://doi.org/10.1109/ICCAC.2017.11
  15. Contreras, P., Chimbo, D., Tello, A., & Espinoza, M. (2017). Semantic web and augmented reality for searching people, events and points of interest within of a university campus. 2017 43rd Latin American Computer Conference, CLEI 2017, 2017-January, 1–10.
  16. Elhussein, M., & Dü?tegör, D. (2017). Tracing back the chain: Cognitive pre-requisite analysis for CIS capstone project. ACM International Conference Proceeding Series, 56–60.
  17. Aiello, M. (2017). two bestsellers. Saccargia Holding BV Publisher.
  18. Vemula, D., Setz, B., Rao, G. S. V. R. K., Gangadharan, G. R., & Aiello, M. (2017). Metrics for Sustainable Data Centers. IEEE Transactions on Sustainable Computing.
  19. Groefsema, H., van Beest, N., & Armas-Cervantes, A. (2017). Automated compliance verification of business processes in Apromore. Proceedings of the BPM Demo Track 2017.

2016

  1. Jafarian, M., Scherpen, J., & Aiello, M. (2016). A price-based approach for voltage regulation and power loss minimization for the electrical power distribution system. 55th IEEE Conference on Decision and Control, 680–685. https://doi.org/10.1109/CDC.2016.7798347
  2. Iqbal, A., Javed, U., Saleh, S., Kim, J., Alowibdi, J. S., & Ilyas, M. U. (2016). Analytical Modeling of End-to-End Delay in OpenFlow Based Networks. IEEE Access, 5, 6859–6871. https://doi.org/10.1109/ACCESS.2016.2636247
  3. Kaldeli, E., Lazovik, A., & Aiello, M. (2016). Domain-independent planning for services in uncertain and dynamic environments. Artificial Intelligence, 236(7), 30–64. https://doi.org/10.1016/j.artint.2016.03.002
  4. AlSafwan, K., AlShaer, F., Hakami, L., Aseeri, K., AlJishi, M., & Dustegor, D. (2016). Design and implementation of a residential energy monitoring system prototype tailored to meet local needs. International Journal of Computing and Digital Systems, 5(4), 337–344. https://doi.org/10.12785/IJCDS/050405
  5. Abdi, S., Aftab, U., Bailey, G., Boughzala, B., Dewal, F., Parsazad, S., & Tremblay, E. (2016). Pfpsim: A Programmable Forwarding Plane Simulator. 2016 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 55–60. https://doi.org/10.1145/2881025.2881029
  6. Vakili, S., Langlois, J. P., Boughzala, B., & Savaria, Y. (2016). Memory-efficient string matching for intrusion detection systems using a high-precision pattern grouping algorithm. Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems, 37–42. https://doi.org/10.1145/2881025.2881031
  7. Bahnasy, M., Boughzala, B., Elbiaze, H., Alleyne, B., Beliveau, A., & Padala, C. (2016). Proactive Ethernet Congestion Control based on Link Utilization Estimation. 2016 International Conference on Computing, Networking and Communications (ICNC), 1–6. https://doi.org/10.1109/ICCNC.2016.7440620
  8. Setz, B., Nizamic, F., Lazovik, A., & Aiello, M. (2016). Power Management of Personal Computers based on User Behaviour. International Conference on Smart Cities and Green ICT Systems, 409–416.
  9. Sumba, X., Sumba, F., Tello, A., Baculima, F., Espinoza, M., & Saquicela, V. (2016). Detecting Similar Areas of Knowledge Using Semantic and Data Mining Technologies. Electronic Notes in Theoretical Computer Science, 329, 149–167.
  10. Nizamic, F. (2016). A Smart Energy System for Sustainable Buildings: The Case of the Bernoulliborg [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/28259486/Complete_thesis.pdf
  11. Aiello, M., Johnsen, E. B., Dustdar, S., & Georgievski, I. (Eds.). (2016). 5th IFIP WG 2.14 European Conference Service-Oriented and Cloud Computing (Vol. 9846). Springer. http://dx.doi.org/10.1007/978-3-319-44482-6
  12. Georgievski, I., & Aiello, M. (2016). Automated planning for ubiquitous computing. ACM Comput. Surv., 49(4), 63:1–63:46. http://doi.acm.org/10.1145/3004294
  13. van der Krieke, L., Blaauw, F. J., Emerencia, A. C., Schenk, M. H. M., Slaets, J. P. J., Bos, E. H., de Jonge, P., & Jeronimus, B. F. (2016). Temporal dynamics of health and well-being: A crowdsourcing approach to momentary assessments and automated generation of personalized feedback. Psychosomatic Medicine.
  14. Blaauw, F. J., Schenk, H. M., Jeronimus, B. F., van der Krieke, L., de Jonge, P., Aiello, M., & Emerencia, A. C. (2016). Let’s get Physiqual - an intuitive and generic method to combine ssensor technology with ecological momentary assessments. Journal of Biomedical Informatics, 63, 141–149. http://dx.doi.org/10.1016/j.jbi.2016.08.001
  15. Sha, A., & Aiello, M. (2016). A Novel Strategy for Optimising Decentralised Energy Exchange for Prosumers. Energies, 9(7), 554. http://dx.doi.org/10.3390/en9070554
  16. Kaldeli, E., Lazovik, A., & Aiello, M. (2016). Domain-Independent Planning for Services in Uncertain and Dynamic Environments. Artificial Intelligence, 236(7), 30–64. http://www.sciencedirect.com/science/article/pii/S000437021630025X
  17. Pagani, G. A., & Aiello, M. (2016). From the grid to the smart grid, topologically. Physica A, 449(5), 160–175. https://doi.org/10.1016/j.physa.2015.12.080
  18. Bucur, D., Iacca, G., Gaudesi, M., Squillero, G., & Tonda, A. (2016). Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms. Applied Soft Computing, 40, 416–426. http://dx.doi.org/10.1016/j.asoc.2015.11.024
  19. Bucur, D., & Iacca, G. (2016). Influence Maximization in Social Networks with Genetic Algorithms. European Conference on the Applications of Evolutionary and Bio-Inspired Computation (Evo* EvoApplications), Track EvoComplex: Evolutionary Algorithms and Complex Systems, 379–392. https://www.dropbox.com/s/z4ylz5njruamon3/man.pdf?dl=0
  20. de Bruijn, B., Nguyen, T. A., Bucur, D., & Tei, K. (2016). Benchmark Datasets for Fault Detection and Classification in Sensor Data. International Conference on Sensor Networks, 185–195. http://dx.doi.org/10.5220/0005637901850195
  21. Georgievski, I., & Bouman, T. (2016). On the relationship between automation and occupants in smart buildings. International Conference on ICT for Sustainability, 240–241. http://www.atlantis-press.com/php/download_paper.php?id=25860395
  22. Groefsema, H., & Van Beest, N. (2016). Design-Time Compliance of Service Compositions in Dynamic Service Environments. Proceedings - 2015 IEEE 8th International Conference on Service-Oriented Computing and Applications, SOCA 2015, 108–115.
  23. Groefsema, H. (2016). Business Process Variability: a study into process management and verification [PhD thesis]. Rijksuniversiteit Groningen.
  24. Baqapuri, A. I., Saleh, S., Ilyas, M. U., Khan, M. M., & Qamar, A. M. (2016). Sentiment Classification of Tweets using Hierarchical Classification. International Conference on Communications, 1–7. https://doi.org/10.1109/ICC.2016.7511391
  25. Raja, H., Ilyas, M. U., Saleh, S., Liu, A. X., & Radha, H. (2016). Detecting National Political Unrest on Twitter. International Conference on Communications, 1–7. https://doi.org/10.1109/ICC.2016.7511393

2015

  1. Perez, W., Tello, A., Saquicela, V., Vidal, M. E., & La Cruz, A. (2015). An automatic method for the enrichment of DICOM metadata using biomedical ontologies. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, 2551–2554. https://doi.org/10.1109/EMBC.2015.7318912
  2. Groefsema, H., & van Beest, N. (2015). Design-time Compliance of Service Compositions in Dynamic Service Environments. 8th IEEEE International Conference on Service Oriented Computing & Applications (SOCA), 108–115. https://doi.org/10.1109/SOCA.2015.14
  3. Bahnasy, M., Beliveau, A., Alleyne, B., Boughzala, B., Padala, C., Idoudi, K., & Elbiaze, H. (2015). Using Ethernet Commodity Switches to Build a Switch Fabric in Routers. 2015 24th International Conference on Computer Communication and Networks (ICCCN), 1–8. https://doi.org/10.1109/ICCCN.2015.7288483
  4. Grailoo, M., Hashemi, M., Haghshenas, K., Rezaee, S., S.Rapolu, & Nikoubin, T. (2015, July). CNTFET Full-Adders for Energy-Efficient Arithmetic Applications. 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT). https://doi.org/10.1109/ICCCNT.2015.7395198
  5. Perez, W., Tello, A., Saquicela, V., Vidal, M.-E., & La Cruz, A. (2015). An automatic method for the enrichment of DICOM metadata using biomedical ontologies. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015-November, 2551–2554.
  6. Vega, F., Pérez, W., Tello, A., Saquicela, V., Espinoza, M., Solano-Quinde, L., Vidal, M.-E., & La Cruz, A. (2015). WebMedSA: A web-based framework for segmenting and annotating medical images using biomedical ontologies. Proceedings of SPIE - The International Society for Optical Engineering, 9681.
  7. Tello, A., La Cruz, A., Saquicela, V., Espinoza, M., & Vidal, M.-E. (2015). RDF-ization of DICOM medical images towards linked health data cloud. IFMBE Proceedings, 49, 757–760.
  8. Tello, A., La Cruz, A., Saquicela, V., Espinoza, M., & Vidal, M. E. (2015). RDF-ization of DICOM medical images towards linked health data cloud. In A. Braidot & A. Hadad (Eds.), VI Latin American Congress on Biomedical Engineering, CLAIB 2014 (pp. 757–760). Springer. https://doi.org/10.1007/978-3-319-13117-7_193
  9. Dü?tegör, D., Sultana, N., Felemban, N., & Al-Qahtani, D. (2015). Public acceptance of renewable energy and Smart-Grid in Saudi Arabia. 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015.
  10. Nguyen, T. A. (2015). Energy Adaptive Buildings: From Sensor Data to Being Aware of Users [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/26443426/Complete_thesis.pdf
  11. Georgievski, I. (2015). Coordinating services embedded everywhere via hierarchical planning [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/23863757/Complete_thesis.pdf
  12. van der Krieke, L., Jeronimus, B. F., Blaauw, F. J., Wanders, R. B. K., Emerencia, A. C., Schenk, H. M., de Stijn, V., Snippe, E., Wichers, M., Wigman, J. T. W., Bos, E. H., Wardenaar, K. J., & de Jonge, P. (2015). HowNutsAreTheDutch (HoeGekIsNL): A crowdsourcing study of mental symptoms and strengths. International Journal of Methods in Psychiatric Research, n/a–n/a. http://dx.doi.org/10.1002/mpr.1495
  13. Bucur, D., Iacca, G., & de Boer, P. (2015). Characterizing topological bottlenecks for data delivery in CTP using simulation-based stress testing with natural selection. Ad Hoc Networks, 30, 22–45. http://dx.doi.org/10.1016/j.adhoc.2015.02.005
  14. Georgievski, I., & Aiello, M. (2015). HTN planning: Overview, comparison, and beyond. Artificial Intelligence, 222(0), 124–156. http://dx.doi.org/10.1016/j.artint.2015.02.002
  15. Emerencia, A., van der Krieke, L., Bos, E. H., de Jonge, P., Petkov, N., & Aiello, M. (2015). Automating vector autoregression on electronic patient diary data. IEEE Journal of Biomedical and Health Informatics, 20(2), 631–634. http://dx.doi.org/10.1109/JBHI.2015.2402280
  16. Pagani, G. A., & Aiello, M. (2015). A complex network approach for identifying vulnerabilities of the medium and low voltage grid. International Journal of Critical Infrastructures, 11(1), 36–61. http://www.cs.rug.nl/ds/uploads/pubs/pagani_IJCIS110104.pdf
  17. Sun, C., Zhang, X., Shang, Y., & Aiello, M. (2015). Integrating Transactions into BPEL Service Compositions: An Aspect-Based Approach. ACM Transactions on the Web, 9(2), 9:1–9:31. http://dx.doi.org/10.1145/2757288
  18. Blaauw, F., & Emerencia, A. (2015). A Service-Oriented Architecture for Web Applications in e-mental health: two case studies. IEEE International Conference on Service Oriented Computing & Applications, 131–138. http://dx.doi.org/10.1109/SOCA.2015.25
  19. Schoenmaker, R., & Pagani, G. A. (2015). Simulating the Interaction with a Smart Grid with Real Services. IEEE International Conference on Service Oriented Computing & Applications, 36–42. http://dx.doi.org/10.1109/SOCA.2015.31
  20. Bucur, D., Iacca, G., Squillero, G., & Tonda, A. (2015). Black Holes and Revelations: Using Evolutionary Algorithms to Uncover Vulnerabilities in Disruption-Tolerant Networks. European Conference on the Applications of Evolutionary and Bio-Inspired Computation, Track EvoComNet: Application of Nature-Inspired Techniques for Communication Networks and Other Parallel and Distributed Systems, 29–41. http://dx.doi.org/10.1007/978-3-319-16549-3_3
  21. Nguyen, T. A., Aiello, M., Yonezawa, T., & Tei, K. (2015). A Self-healing Framework for Online Sensor Data. International Workshop on Self-Aware Internet of Things, 295–300. http://dx.doi.org/10.1109/ICAC.2015.61
  22. Saleh, S., Shah, Z., & Baig, A. (2015). Improving QoS of IPTV and VoIP over IEEE 802.11n. Computers & Electrical Engineering, 43, 92–111. https://doi.org/10.1016/j.compeleceng.2014.10.017
  23. Saleh, S., Ilyas, M. U., Khurshid, K., Liu, A. X., & Radha, H. (2015). IM Session Identification by Outlier Detection in Cross-correlation Functions. 49th Annual Conference on Information Sciences and Systems, 1–5. https://doi.org/10.1109/CISS.2015.7086851

2014

  1. van Beest, N. R. T. P., Kaldeli, E., Bulanov, R., Wortmann, J. C., & Lazovik, A. (2014). Automated runtime repair of business processes. Information Systems, 39, 45–79. https://doi.org/10.1016/j.is.2013.07.003
  2. Degeler, V., & Lazovik, A. (2014). Dynamic Constraint Satisfaction with Space Reduction in Smart Environments. International Journal on Artificial Intelligence Tools, 23(06). https://doi.org/10.1142/S0218213014600276
  3. Nizamic, F., Nguyen, T. A., Lazovik, A., & Aiello, M. (2014). GreenMind-An Architecture and Realization for Energy Smart Buildings. The 2nd International Conference on ICT for Sustainability (ICT4S 2014).
  4. Georgievski, I., & Lazovik, A. (2014). Utility-Based HTN Planning. 21st European Conference on Artificial Intelligence, 1013–1014.
  5. Degeler, V., Lazovik, A., Leotta, F., & Mecella, M. (2014). Itemset-based mining of constraints for enacting smart environments. Symposium on Activity and Context Modeling and Recognition, 41–46.
  6. Harrer, S., Nizamic, F., Wirtz, G., & Lazovik, A. (2014). Towards a Robustness Evaluation Framework for BPEL Engines. International Conference on Service Oriented Computing & Applications, 7.
  7. Degeler, V. (2014). Dynamic Rule-Based Reasoning in Smart Environments [PhD thesis, Rijksuniversiteit Groningen]. http://www.rug.nl/research/portal/files/13810772/Complete_dissertation.pdf
  8. Emerencia, A. (2014). Computing a Second Opinion: Automated Reasoning and Statistical Inference applied to Medical Data [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/13135714/20140627_Thesis_Emerencia.pdf
  9. Pagani, G. A. (2014). From the Grid to the Smart Grid, Topologically [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/14426146/Thesis-Pagani.pdf
  10. Pagani, G. A., & Aiello, M. (2014). Generating Realistic Dynamic Prices and Services for the Smart Grid. IEEE Systems Journal, 9(1), 191–198.
  11. van Beest, N. R. T. P., Kaldeli, E., Bulanov, P., Wortmann, J. C., & Lazovik, A. (2014). Automated Runtime Repair of Business Processes. Inf. Syst., 39, 45–79. http://dx.doi.org/10.1016/j.is.2013.07.003
  12. Pagani, G. A., & Aiello, M. (2014). Power Grid Complex Network Evolutions for the Smart Grid. Physica A: Statistical Mechanics and Its Applications, 396(2), 248–266. http://dx.doi.org/10.1016/j.physa.2013.11.022
  13. van der Krieke, L., Wunderink, L., Emerencia, A., de Jonge, P., & Sjoerd, S. (2014). E-Mental Health Self-Management for Psychotic Disorders: State of the Art and Future Perspectives. Psychiatric Services, 65(1), 33–49. http://dx.doi.org/10.1176/appi.ps.201300050
  14. Bucur, D., Iacca, G., Squillero, G., & Tonda, A. (2014). The Impact of Topology on Energy Consumption for Collection Tree Protocols: An Experimental Assessment through Evolutionary Computation. Applied Soft Computing, 16(0), 210–222. https://doi.org/http://dx.doi.org/10.1016/j.asoc.2013.12.002
  15. Alsaif, F. (2014). Smart Education Modes and E-Learning Market: The Needs of the Next Generation. Smart Learning Environments Journal, The State of the Art in Smart Learning Issue.
  16. Blaauw, F., van der Krieke, L., de Jonge, P., & Aiello, M. (2014). Leefplezier: Personalized Well-being. IEEE Intelligent Informatics Bulletin, 15(1), 28–29. http://www.comp.hkbu.edu.hk/ iib/2014/Dec/paper4/iib_vol15no1_paper4.pdf
  17. Aiello, M., Emerencia, A., & Sol, H. (2014). Bringing adaptiveness & resilience to e-health. In N. Suri & G. Cabri (Eds.), Adaptive, Dynamic and Resilient Systems (June 23, 2014). Auerbach Publication, CRC Press (Taylor + Francis Group).
  18. Scala, A., Quattrociocchi, W., Pagani, G. A., & Aiello, M. (2014). Self-healing protocols for infrastructural networks. International Conference on Critical Information Infrastructures Security.
  19. Aiello, M., & Pagani, G. A. (2014). The Smart Grid’s Data Generating Potentials. Federated Conference on Computer Science and Information Systems. http://www.cs.rug.nl/ aiellom/publications/fedcsisKeynote.pdf
  20. Nizamic, F., Nguyen, T. A., Lazovik, A., & Aiello, M. (2014). GreenMind - An Architecture and Realization for Energy Smart Buildings. International Conference on ICT for Sustainability, 20–29. http://dx.doi.org/10.2991/ict4s-14.2014.3
  21. Bucur, D., Iacca, G., Squillero, G., & Tonda, A. (2014). The Tradeoffs between Data Delivery Ratio and Energy Costs in Wireless Sensor Networks: A Multi-Objective Evolutionary Framework for Protocol Analysis. Genetic and Evolutionary Computation Conferenc, 1071–1078. http://www.cs.rug.nl/ doina/2014-GECCO/GECCO14-Bucur.pdf
  22. Blaauw, F. J., der Krieke, J. A. J. V., Bos, E. H., Emerencia, A. C., Jeronimus, B. F., Schenk, H. M., Vos, S. D., Wardenaar, K. J., Wanders, R. B. K., Wigman, J. T. W., Aiello, M., & Jonge, P. D. (2014). HowNutsAreTheDutch: Personalized feedback on a national scale. AAAI Fall Symposium on Expanding the Boundaries of Health Informatics Using AI, 6–10. http://www.aaai.org/ocs/index.php/FSS/FSS14/paper/download/9189/9109
  23. Alsaif, F. (2014). E-learning Quality Assurance Practices and Benchmarks in Higher Education. World Conference on Educational Media and Technology. http://www.editlib.org/p/147625
  24. Luo, L., & amd M. Rosas-Casals, G. A. P. (2014). Spatial optimality in power distribution networks. IEEE Complexity in Engineering Workshop, 1–4. http://dx.doi.org/10.1109/CompEng.2014.6994687
  25. Blaauw, F. J., Bazylevska, L., & Aiello, M. (2014). Gamification in a Consulting Company. 7th GI Workshop on Autonomous Systems, 128–139.
  26. Arnold, H., Masad, D., Pagani, G. A., Schmidt, J., & Stepanova, E. (2014). Network Disruption and Recovery: Co-Evolution of Defender and Attacker in a Dynamic Game. CompleNet 2014 5th Workshop on Complex Networks, 141–155. http://dx.doi.org/10.1007/978-3-319-05401-8_14
  27. Degeler, V., Lazovik, A., Leotta, F., & Mecella, M. (2014). Itemset-based Mining of Constraints for Enacting Smart Environments. Symposium on Activity and Context Modeling and Recognition, 41–46. http://dx.doi.org/10.1109/PerComW.2014.6815162
  28. Blaauw, F. J., der Krieke, J. A. J. V., Aiello, M., & Jonge, P. D. (2014). Leefplezier: Personalized well-being. Doctoral Consortium of the IEEE International Conference on Healthcare Informatics.
  29. Saleh, S., Raja, M., Shahnawaz, M., Ilyas, M. U., Khurshid, K., Shafiq, M., Liu, A. X., Radha, H., & Karande, S. S. (2014). Breaching IM Session Privacy Using Causality. Global Communications Conference, 686–691. https://doi.org/10.1109/GLOCOM.2014.7036887
  30. Shah, I. A., Ilyas, M. U., Raja, M., Saleh, S., Khan, M. M., Qamar, A. M., Shafiq, M. Z., Liu, A. X., & Radha, H. (2014). Predicting New Collaborations in Academic Citation Networks of IEEE and ACM Conferences. International Conference on Social Computing. https://research.rug.nl/en/publications/predicting-new-collaborations-in-academic-citation-networks-of-ie

2013

  1. Beest, N. R. T. P. V., Bucur, D., Wortmann, J. C., & Lazovik, A. (2013). An Automated Analysis Of Process Interference Verified With LTL Checking (Technical Report Nos. 2013-08-07; Issues 2013-08-07). University of Groningen. http://www.cs.rug.nl/ doina/TR/TR-2013-08-07.pdf
  2. Kaldeli, E., Warriach, E. U., Lazovik, A., & Aiello, M. (2013). Coordinating the Web of Services for a Smart Home. Acm Transactions on the Web, 7(2). https://doi.org/10.1145/2460383.2460389
  3. Nguyen, T. A., Degeler, V., Contarino, R., Lazovik, A., Bucur, D., & Aiello, M. (2013). Towards Context Consistency in a Rule-Based Activity Recognition Architecture. Ubiquitous Intelligence and Computing, IEEE and International Conference on and 10th International Conference on Autonomic and Trusted Computing, 625–630. https://doi.org/10.1109/UIC-ATC.2013.97
  4. Warriach, E. U., Kaldeli, E., Lazovik, A., & Aiello, M. (2013). An Interplatform Service-Oriented Middleware for the Smart Home. International Journal of Smart Home, 7(1).
  5. van Beest, N., Bucur, D., Wortmann, J., & Lazovik, A. (2013). An Automated Analysis Of Process Interference Verified With LTL Checking. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.
  6. Degeler, V., & Lazovik, A. (2013). Architecture pattern for context-aware smart environments. In P. H. D. Riboni B. Guo (Ed.), Creating personal, social and urban awareness through pervasive computing. IGI Global.
  7. Degeler, V., Gonzalez, L. I. L., Leva, M., Shrubsole, P., Bonomi, S., Amft, O., & Lazovik, A. (2013). Service-oriented architecture for smart environments. IEEE International Conference on Service Oriented Computing and Applications, 99–104.
  8. Degeler, V., & Lazovik, A. (2013). Dynamic constraint reasoning in smart environments. IEEE International Conference on Tools with Artificial Intelligence, 167–174.
  9. Dustegor, D., & Felemban, N. M. (2013). Wireless sensor network based monitoring system for photovoltaic panels in extreme GCC climate conditions: A literature review of current approaches. 2013 7th IEEE GCC Conference and Exhibition, GCC 2013, 326–329.
  10. Warriach, E. U. (2013). Design and implementation of middleware platform for a smart home [PhD thesis, Rijksuniversiteit Groningen]. http://www.rug.nl/research/portal/publications/pub(7e36d404-59ee-42a8-ac8c-497bbd221291).html
  11. Kaldeli, E. (2013). Domain-independent planning for services in uncertain and dynamic environments [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/14430948/thesis.pdf
  12. Emerencia, A., van der Krieke, L., Sytema, S., Petkov, N., & Aiello, M. (2013). Generating personalized advice for schizophrenia patients. Artificial Intelligence in Medicine, 58(1), 23–36. http://www.sciencedirect.com/science/article/pii/S0933365713000043
  13. van der Krieke, L., Emerencia, A., Boonstra, N., Wunderink, L., de Jonge, P., & Sytema, S. (2013). A web-based tool to support shared decision-making for people with a psychotic disorder: a randomized clinical trial and process evaluation. Journal of Medical Internet Research, 15(10), e216. http://www.cs.rug.nl/ ando/pdfs/sdm_trial.pdf
  14. Alsaif, F., & Gauthaman, A. (2013). The Management of Elearning at University of KKU, ABHA. International Journal of Emerging Technologies in Learning, 8(1), 4–9.
  15. van der Krieke, L., Wunderink, L., Emerencia, A., de Jonge, P., & Sytema, S. (2013). E-health self-management in psychotic disorders: state of the art and future perspectives. Psychiatric Services, 65(1), 33–49. http://www.cs.rug.nl/ ando/pdfs/appi.ps.201300050.pdf
  16. Nguyen, T. A., Raspitzu, A., & Aiello, M. (2013). Ontology-based Office Activity Recognition with Applications for Energy Savings. Journal of Ambient Intelligence and Humanized Computing. http://link.springer.com/article/10.1007%2Fs12652-013-0206-7
  17. Nguyen, T. A., & Aiello, M. (2013). Energy Intelligent Buildings based on User Activity: A Survey. Energy and Buildings, 56(0), 244–257. http://dx.doi.org/10.1016/j.enbuild.2012.09.005
  18. Pagani, G. A., & Aiello, M. (2013). The Power Grid as a Complex Network: a Survey. Physica A: Statistical Mechanics and Its Applications, 392(1), 2688–2700. http://www.sciencedirect.com/science/article/pii/S0378437113000575
  19. Aiello, M. (2013). Aware homes. Awareness Magazine: Self-Awareness in Autonomic Systems. http://www.awareness-mag.eu/pdf/005166/005166.pdf
  20. Aiello, M. (2013). Foreword. In Research and Development in E-Business through Service-Oriented Solutions. IGI Global. http://www.igi-global.com/pdf.aspx?tid=96294&ptid=74384&ctid=15&t=foreword
  21. Degeler, V., & Lazovik, A. (2013). Architecture pattern for context-aware smart environments. In D. Riboni, B. Guo, & P. Hu (Eds.), Creating Personal, Social and Urban Awareness through Pervasive Computing. IGI Global. http://vdegeler.com/files/13patternarch.pdf
  22. Georgievski, I., Nguyen, T. A., & Aiello, M. (2013). Combining Activity Recognition and AI Planning for Energy-Saving Offices. IEEE International Conference on Ubiquitous Intelligence and Computing, 238–245. http://dx.doi.org/10.1109/UIC-ATC.2013.106
  23. Nguyen, T. A., Bucur, D., Aiello, M., & Tei, K. (2013). Applying Time Series Analysis and Neighbourhood Voting in a Decentralised Approach for Fault Detection and Classification in WSNs. International Symposium on Information and Communication Technology, 234–241. http://dl.acm.org/citation.cfm?id=2542080
  24. Degeler, V., Gonzalez, L. I. L., Leva, M., Shrubsole, P., Bonomi, S., Amft, O., & Lazovik, A. (2013). Service-Oriented Architecture for Smart Environments. IEEE International Conference on Service Oriented Computing and Applications, 99–104. http://vdegeler.com/files/13gbsoca.pdf
  25. Beest, N. R. T. P. V., & and D. Bucur. (2013). Continuous Correctness of Business Processes against Process Interference. IEEE International Conference on Service Oriented Computing and Applications, 110–117. http://dx.doi.org/10.1109/SOCA.2013.39
  26. Degeler, V., & Lazovik, A. (2013). Dynamic Constraint Reasoning in Smart Environments. IEEE International Conference on Tools with Artificial Intelligence. http://vdegeler.com/files/13rmedcsp.pdf
  27. Bucur, D., Iacca, G., Squillero, G., & Tonda, A. (2013). An Evolutionary Framework for Routing Protocol Analysis in Wireless Sensor Networks. European Conference on the Applications of Evolutionary and Bio-Inspired Computation, 7835, 1–11. http://link.springer.com/chapter/10.1007%2F978-3-642-37192-9_1
  28. Warriach, E. U., & Claudel, C. (2013). A Machine Learning Approach for Vehicle Classification using Passive Infrared and Ultrasonic Sensors. ACM/IEEE Conference on Information Processing in Sensor Networks, 333–334. http://delivery.acm.org/10.1145/2470000/2461434/p333-warriach.pdf?ip=129.125.75.5&id=2461434&acc=ACTIVE%20SERVICE&key=C2716FEBFA981EF1BEAE10AEAAC8E630201988BD3445D12D&CFID=181803508&CFTOKEN=15716161&__acm__=1374054792_cfe784c0fa4854c410fd749cf420b29c
  29. Pagani, G. A., & Aiello, M. (2013). Modeling the Last Mile of the Smart Grid. PES Innovative Smart Grid Technologies Conference. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6497816&tag=1
  30. Pagani, G. A., & Aiello, M. (2013). Cost and Benefits of Denser Topologies for the Smart Grid. Computer and Information Sciences III from the 27th International Symposium on Computer and Information Sciences (ISCIS’12), 73–81. http://rd.springer.com/chapter/10.1007/978-1-4471-4594-3_8#
  31. Nguyen, T. A., Aiello, M., & Tei, K. (2013). A Decentralized Scheme for Fault Detection and Classification in WSNs. IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA 2013, Work in Progress Session). http://www.cs.rug.nl/ds/uploads/pubs/tanguyen2013_cpsna.pdf
  32. Nizamic, F. (2013). Testing of Distributed Service-Oriented Systems. ICSOC, 8377. http://www.cs.rug.nl/ faris/pubs/TSO13.pdf
  33. Georgievski, I. (2013). Planning for Coordination of Devices in Energy-Smart Envronments. Doctoral Consortium of the 23rd International Conference on Automated Planning and Scheduling. http://icaps13.icaps-conference.org/documents/dc/georgievski.pdf
  34. Groefsema, H., & Bucur, D. (2013). A survey of formal business process verification: From soundness to variability. Proceedings of International Symposium on Business Modeling and Software Design, 198–203.
  35. Saleh, S., Shah, Z., & Baig, A. (2013). Capacity Analysis of Combined IPTV and VoIP over IEEE 802.11n. 38th Annual IEEE Conference on Local Computer Networks, 785–792. https://doi.org/10.1109/LCN.2013.6761333
  36. Saleh, S., Shah, Z., & Baig, A. (2013). IPTV Capacity Analysis using DCCP over IEEE 802.11n. 78th Vehicular Technology Conference, 1–5. https://doi.org/10.1109/VTCFall.2013.6692252

2012

  1. H. Groefsema, P. B., & Aiello, M. (2012). Imperative versus Declarative Process Variability: Why Choose? (Technical Report No. JBI 2011-12-6; Issue JBI 2011-12-6). University of Groningen. http://www.cs.rug.nl/ds/uploads/pubs/why.pdf
  2. van de Krieke, L., Emerencia, A., Aiello, M., & Sytema, S. (2012). Usability Evaluation of a Web-Based Support System for People With a Schizophrenia Diagnosis. Journal of Medical Internet Research, 14(1). http://www.ncbi.nlm.nih.gov/pubmed/22311883
  3. Bulanov, P., Lazovik, A., & Aiello, M. (2012). Business Process Customization using Process Merging Techniques. In International Conference on Service-Oriented Computing and Applications (pp. 1–4). IEEE (The Institute of Electrical and Electronics Engineers).
  4. Degeler, V., & Lazovik, A. (2012). Cost-efficient context-aware rule maintenance. International Conference on Pervasive Computing and Communications Workshops, 608–612.
  5. van Beest, N., Kaldeli, E., Bulanov, P., Wortmann, J. C., & Lazovik, A. (2012). Automatic Detection of Business Process Interference. International Workshop on Knowledge-Intensive Business Processes.
  6. Georgievski, I., Degeler, V., Pagani, G. A., Nguyen, T. A., Lazovik, A., & Aiello, M. (2012). Optimizing Energy Costs for Offices Connected to the Smart Grid. IEEE Transactions on Smart Grid, 3(4), 2273–2285. https://doi.org/10.1109/TSG.2012.2218666
  7. Aiello, M., Aloise, F., Baldoni, R., Cincotti, F., Guger, C., Lazovik, A., Mecella, M., Pucci, P., Rinsma, J., Santucci, G., & Taglieri, M. (2012). Smart Homes to Improve the Quality of Life for All. Annual International IEEE Engineering in Medicine and Biology Conference, 1777–1780.
  8. Nizamic, F., Degeler, V., Groenboom, R., & Lazovik, A. (2012). Policy-Based Scheduling of Cloud Services. Scalable Computing: Practice and Experience, 13(3), 187–199.
  9. Caruso, M., Ciccio, C. D., Iacomussi, E., Kaldeli, E., Lazovik, A., & Mecella, M. (2012). Service Ecologies for Home/Building Automation. International IFAC Symposium on Robot Control, 467–472.
  10. Degeler, V., & Lazovik, A. (2012). Reduced context consistency diagrams for resolving inconsistent data. ICST Transactions on Ubiquitous Environments, 12(10-12).
  11. Bulanov, P. (2012). Management and evolution of business process variants [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/14431629/thesis.pdf
  12. Pernici, B., Aiello, M., vom Brocke, J., Donnellan, B., Gelenbe, E., & Kretsis, M. (2012). What IS can do for Environmental Sustainability. Communications of the Association for Information Systems, 30(18). http://eprints.nuim.ie/3021/1/CAiSE_Panel_Green_IS-Dec13.pdf
  13. Pagani, G. A., & Aiello, M. (2012). Service-Orientation and the Smart Grid: State and Trend. Service Oriented Computing and Applications, 6(3), 267–282. http://www.springerlink.com/content/44q14653u6325748/?MUD=MP
  14. Degeler, V., & Lazovik, A. (2012). Reduced Context Consistency Diagrams for Resolving Inconsistent Data. ICST Transactions on Ubiquitous Environments, 12(10-12). http://eudl.eu/pdf/10.4108/trans.ubienv.2012.10-12.e2
  15. Aiello, M., Bezhanishvili, G., Bloch, I., & Goranko, V. (2012). Logic for physical space. Synthese, 18(3), 619–632. http://www.springerlink.com/content/w633k7l745k12p62/fulltext.pdf
  16. Aiello, M., Agarwal, N., Raman, R., & Rathod, U. (2012). Forward. Journal of System Assurance Engineering and Management, 3(2), 71–72.
  17. Warriach, E. U., Tei, K., & Aiello, M. (2012). A Machine Learning Approach for Identifying and Classifying Faults in Wireless Sensor Networks. 10th IEEE International Conference on Embedded and Ubiquitous Computing, 618–625. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6417349&tag=1
  18. Degeler, V., & Lazovik, A. (2012). Cost-efficient Context-aware Rule Maintenance. Workshop on Context Modeling and Reasoning, 608–612. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6197587&tag=1
  19. Nguyen, T. A., & Aiello, M. (2012). Beyond Indoor Presence Monitoring with Simple Sensors. International Conference on Pervasive and Embedded Computing and Communication Systems, 5–14. http://www.cs.rug.nl/ds/uploads/pubs/nguyen2012PECCS.pdf
  20. Warriach, E., Tei, K., Nguyen, T. A., & Aiello, M. (2012). Fault Detection in Wireless Sensor Networks: a Hybrid Approach. ACM Conference on Information Processing in Sensor Networks (IPSN’12 POSTER Session), 87–88. http://delivery.acm.org/10.1145/2190000/2185690/p87-warriach.pdf?ip=129.125.51.228&acc=ACTIVE%20SERVICE&CFID=150333880&CFTOKEN=70024016&__acm__=1355827043_2be2cb41c07e51f098a6e64f12e349fe
  21. Pagani, G. A., & Aiello, M. (2012). A Statistical Analysis of Power Grid Vulnerabilities. Workshops of The Seventh CRITIS Conference on Critical Information Infrastructures Security. https://areeweb.polito.it/ricerca/SESAME/images/stories/pub_doc/critis/pagani.pdf
  22. Capodieci, N., Cabri, G., Pagani, G. A., & Aiello, M. (2012). Adaptive Game-based Agent Negotiation in Deregulated Energy Markets. Workshop on Adaptive Collaboration at (CTS 2012), 300–307. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6261067
  23. Capodieci, N., Cabri, G., Pagani, G. A., & Aiello, M. (2012). An Agent-based Application to Enable Deregulated Energy Markets. IEEE Computer Software and Applications Conference, 638–647. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6340222
  24. Bulanov, P., Groefsema, H., & Aiello, M. (2012). Business Process Variability: A Tool for Declarative Template Design. Service-Oriented Computing, 7221, 241–242. https://doi.org/10.1007/978-3-642-31875-7_30

2011

  1. Georgievski, I., Degeler, V., Pagani, G. A., Nguyen, T. A., Lazovik, A., & Aiello, M. (2011). Optimizing Offices for the Smart Grid (Technical Report No. JBI 2011-12-01; Issue JBI 2011-12-01). University of Groningen. http://www.cs.rug.nl/ georgievski/pubs/opthect.pdf
  2. Clarke, D., Proenca, J., Lazovik, A., & Arbab, F. (2011). Channel-based coordination via constraint satisfaction. Science of Computer Programming, 76(8), 681–710. https://doi.org/10.1016/j.scico.2010.05.004
  3. Boughzala, B., Ali, R. B., Lemay, M., Lemieux, Y., & Cherkaoui, O. (2011). OpenFlow Supporting Inter-Domain Virtual Machine Migration. 2011 Eighth International Conference on Wireless and Optical Communications Networks (IFIP WOCN), 1–7. https://doi.org/10.1109/WOCN.2011.5872945
  4. Krause, C., Maraikar, Z., Lazovik, A., & Arbab, F. (2011). Modeling dynamic reconfigurations in Reo using high-level replacement systems. Science of Computer Programming, 76(1), 23–36. https://doi.org/10.1016/j.scico.2009.10.006
  5. Kaldeli, E., Lazovik, A., & Aiello, M. (2011). Continual Planning with Sensing for Web Service Composition. AAAI Conference on Artificial Intelligence, 1198–1203.
  6. Warriach, E. U., Kaldeli, E., Bresser, J., Lazovik, A., & Aiello, M. (2011). Heterogeneous Device Discovery Framework for the Smart Homes. IEEE GCC Conference Exhibition, 637–640.
  7. Aiello, M., Aloise, F., Baldoni, R., Cincotti, F., Guger, C., Lazovik, A., Mecella, M., Pucci, P., Rinsma, J., Santucci, G., & Taglieri, M. (2011). Smart Homes to Improve the Quality of Life for All. 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 1777–1780.
  8. Degeler, V., & Lazovik, A. (2011). Interpretation of Inconsistencies via Context Consistency Diagrams. 2011 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM 2011), 20–27.
  9. Nizamic, F., Groenboom, R., & Lazovik, A. (2011). Testing Highly Distributed Service-oriented Systems using Virtual Environments. Proceedings of the 17th Dutch Testing Day: Testing Evolvability.
  10. F. Nizamic, R. G., & Lazovik, A. (2011). Testing for Highly Distributed Service-oriented Systems using Virtual Environments. Dutch Testing Day.
  11. El-Mezyani, T., Srivastava, S. K., Cartes, D. A., & Dustegor, D. (2011). Sensor optimization and placement for enhanced power system monitoring using entropy. 2011 IEEE Electric Ship Technologies Symposium, ESTS 2011, 187–192.
  12. Dustegor, D., El Mezyani, T., & Srivastava, S. K. (2011). A distributed fault protection method for power grid with high penetration of renewable energy sources. 2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011, 564–569.
  13. Dustegor, D., Mezyani, T. E., & McLaren, P. G. (2011). A sensor failure resilience metric for ship-board power system. 2011 IEEE Electric Ship Technologies Symposium, ESTS 2011, 240–243.
  14. Dü?tegör, D. (2011). An agent-based wide area protection scheme for self-healing grids. 2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East, ISGT Middle East 2011.
  15. Pagani, G. A., & Aiello, M. (2011). Towards Decentralized Trading: A Topological Investigation of the Medium and Low Voltage Grids. IEEE Transactions on Smart Grid, 2(3), 538–547. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5783965
  16. Sun, C., el Khoury, E., & Aiello, M. (2011). Transaction management in Service-Oriented Systems: requirements and a proposal. IEEE Transactions on Service Computing, 2(4), 167–180. http://www.cs.rug.nl/ aiellom/publications/TSC_Trans10.pdf
  17. Frankova, G., Seguran, M., Gilcherc, F., Trabelsic, S., Dorflingerd, J., & Aiello, M. (2011). Deriving Business Processes with Service Level Agreements from Early Requirements. Journal of Systems and Software, 84(8), 1351–1363. http://iwi.eldoc.ub.rug.nl/FILES/root/2011/JSystSoftwFrankova/2011JSystSoftwFrankova.pdf
  18. Krause, C., Maraikar, Z., Lazovik, A., & Arbab, F. (2011). Modeling Dynamic Reconfigurations in Reo using High-Level Replacement Systems. Science of Computer Programming, 76(1), 23–36. http://www.cs.rug.nl/ lazovik/papers/2011/reo-reconf.pdf
  19. van der Krieke, L., Emerencia, A., & Sytema, S. (2011). An Online Portal on Outcomes for Dutch Service Users. Psychiatric Services, 62(7), 803. http://www.cs.rug.nl/ ando/pdfs/frontline_report.pdf
  20. Capodieci, N., Pagani, G. A., Cabri, G., & Aiello, M. (2011). Smart Meter aware Domestic Energy Trading Agents. International E-Energy Market Challenge at 8th ACM Autonomic Computing Conference. http://www.cs.rug.nl/ aiellom/publications/icac11.pdf
  21. Warriach, E. U., Kaldeli, E., Bresser, J., Lazovik, A., & Aiello, M. (2011). Heterogeneous Device Discovery Framework For the Smart Homes. IEEE GCC Conference & Exhibition, 637–640. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5752621
  22. Bulanov, P., Lazovik, A., & Aiello, M. (2011). Business Process Customization using Process Merging Techniques. International Conference on Service-Oriented Computing and Applications, 1–4. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6166255
  23. Emerencia, A., van der Krieke, L., Petkov, N., & Aiello, M. (2011). Assessing Schizophrenia with an Interoperable Architecture. ACM International Conference on Information and Knowledge Management, 79–82. http://www.cs.rug.nl/ ando/pdfs/mixhs1112s-emerencia.pdf
  24. Groefsema, H., Bulanov, P., & Aiello, M. (2011). Declarative Enhancement Framework for Business Processes. In G. Kappel, Z. Maamar, & H. R. MotahariNezhad (Eds.), Service-Oriented Computing (Vol. 7084, pp. 495–504). Springer. https://doi.org/10.1007/978-3-642-25535-9_34

2010

  1. Warriach, E. U., Kaldeli, E., Bresser, J., Lazovik, A., & Aiello, M. (2010). A Tool for Integrating Pervasive Services and Simulating Their Composition. In P. P. Maglio, M. Weske, J. Yang, & M. Fantinato (Eds.), International Conference on Service Oriented Computing (pp. 726–727). Springer.
  2. Kaldeli, E., Warriach, E. U., Bresser, J., Lazovik, A., & Aiello, M. (2010). Interoperation, Composition and Simulation of Services at Home. In P. P. Maglio, M. Weske, J. Yang, & M. Fantinato (Eds.), SERVICE-ORIENTED COMPUTING - ICSOC 2010, PROCEEDINGS (pp. 167–181). Springer.
  3. van Beest, N. R. T. P., Bulanov, P., Wortmann, H., & Lazovik, A. (2010). Resolving Business Process Interference via Dynamic Reconfiguration. In P. P. Maglio, M. Weske, J. Yang, & M. Fantinato (Eds.), SERVICE-ORIENTED COMPUTING - ICSOC 2010, PROCEEDINGS (pp. 47–60). Springer.
  4. Degeler, V., Georgievski, I., Lazovik, A., & Aiello, M. (2010). Concept mapping for faster QoS-Aware Web Service Composition. Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference On, 1–4.
  5. Noordhuis, P., Heijkoop, M., & Lazovik, A. (2010). Mining Twitter in the Cloud: A Case Study. IEEE International Conference on Cloud Computing, 107–114.
  6. Degeler, V., Georgievski, I., Lazovik, A., & Aiello, M. (2010). Concept Mapping for Faster QoS-AwareWeb Service Composition. In EPRINTS-BOOK-TITLE. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.
  7. El-Mezyani, T., Dü?tegör, D., Srivastava, S. K., & Cartes, D. A. (2010). Parity space approach for enhanced fault detection and intelligent sensor network design in power systems. IEEE PES General Meeting, PES 2010.
  8. Düstegör, D., Poroseva, S. V., Hussaini, M. Y., & Woodruff, S. (2010). Automated graph-based methodology for fault detection and location in power systems. IEEE Transactions on Power Delivery, 25(2), 638–646.
  9. Sun, C., Rossing, R., Sinnema, M., Bulanov, P., & Aiello, M. (2010). Modelling and Managing the Variability of Web Service-based Systems. Journal of Systems and Software, 83(3), 502–516. http://www.cs.rug.nl/ aiellom/publications/jss09.pdf
  10. Clarke, D., Proenca, J., Lazovik, A., & Arbab, F. (2010). Channel-based Coordination via Constraint Satisfaction. Science of Computer Programming. https://lirias.kuleuven.be/bitstream/123456789/288820/1/2nd-revision-Channel-based+Coordination+via+Constraint+Satisfaction.pdf
  11. Nakiyimba, I., Williams, D. W., & Aiello, M. (2010). Modeling Enterprise Information Systems Integration Evaluation as a Dynamic System. International Conference on Computing and ICT Research. http://cit.mak.ac.ug/iccir/downloads/ICCIR_10/IRENE%20NAKIYIMBA_%20Dr%20Ddembe%20Willese%20Williams_%20Prof%20MarcomAiello_10.pdf
  12. Sun, C., Xue, T., & Aiello, M. (2010). ValySeC: a Variability Analysis Tool for Service Compositions using VxBPEL. IEEE Asia-Pacific Services Computing Conference. http://iwi.eldoc.ub.rug.nl/FILES/root/2010/ProcIEEEAPSCCSun/2010ProcIEEEAPSCCSun.pdf
  13. Pagani, G. A., & Aiello, M. (2010). Towards a Service-Oriented Energy Market: Current state and trend. Workshop on Service, Energy and Ecosystems (Colocated with ICSOC-10), 203–209. http://www.cs.rug.nl/ aiellom/publications/icsoc10see.pdf
  14. Warriach, E. U., Kaldeli, E., Bresser, J., Lazovik, A., & Aiello, M. (2010). A tool for integrating pervasive services and simulating their composition. International Conference on Service Oriented Computing, Demo Session, 726–727. http://iwi.eldoc.ub.rug.nl/FILES/root/2010/LNCSWarriach/2010LNCSWarriach.pdf
  15. van Teeseling, B. (2010). Testing Service-oriented Architectures using a simulation [Master's thesis, Rijksuniversiteit Groningen]. http://www.cs.rug.nl/ds/docs/BartvanTeeseling.pdf
  16. Aiello, M., Bulanov, P., & Groefsema, H. (2010). Requirements and Tools for Variability Management. Computer Software and Applications Conference Workshops (COMPSACW), 245–250. https://doi.org/10.1109/COMPSACW.2010.50
  17. Aiello, M., Bulanov, P., & Groefsema, H. (2010). A survey of variability management requirements. 5th SIKS/BENAIS Conference on Enterprise Information Systems, EIS 2010, 662, 35–36.

2009

  1. Kaldeli, E. (2009). Using CSP for Adaptable Web Service Composition (Technical Report No. JBI 2009-7-01; Issue JBI 2009-7-01). University of Groningen. http://www.cs.rug.nl/ eirini/papers/tech_rep_09-7-01.pdf
  2. Kaldeli, E., Lazovik, A., & Aiello, M. (2009). Extended Goals for Composing Services. International Conference on Automated Planning and Scheduling, 362–365.
  3. Lazovik, A., Avgeriou, P., & Wortmann, J. (2009). Workshop for e-Government via Software Services (WeGovS2 2009). 2009 18TH IEEE INTERNATIONAL WORKSHOP ON ENABLING TECHNOLOGIES: INFRASTRUCTURES FOR COLLABORATIVE ENTERPRISES, 252–253.
  4. Aiello, M., Khoury, E. el, Lazovik, A., & Ratelband, P. (2009). Optimal QoS-Aware Web Service Composition. Joint IEEE Conference on E-Commerce Technology and IEEE Conference on Enterprise Computing, E-Commerce and E-Services IEEE Computer, 491–494.
  5. Baldoni, R., Ciccio, C. D., Mecella, M., Patrizi, F., Querzoni, L., Santucci, G., Dustdar, S., Li, F., Truong, H.-L., Albornos, L., Milagro, F., Antolin Rafael, P., Ayani, R., Rasch, K., Garcia Lozano, M., Aiello, M., Lazovik, A., Denaro, A., Lasala, G., … Aloise, F. (2009). An Embedded Middleware Platform for Pervasive and Immersive Environments for-All. In EPRINTS-BOOK-TITLE. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.
  6. Lazovik, E., den Dulk, P., Groote, M. de, Lazovik, A., & Aiello, M. (2009). Services Inside the Smart Home: A Simulation and Visualization Tool. In L. Baresi, C. H. Chi, & J. Suzuki (Eds.), Service-Oriented Computing - ICSOC 2009, Proceedings (pp. 651–652). Springer. https://doi.org/10.1007/978-3-642-10383-4_53
  7. Lazovik, E., Lazovik, A., Kaldeli, E., & Aiello, M. (2009). Planning in a Smart Home: Visualization and Simulation. International Conference on Automated Planning and Scheduling, 13–16.
  8. Aiello, M., de Jong, R., & de Nes, J. (2009). Bluetooth Broadcasting: How far can we go? An experimental study. International Conference on Pervasive Computing and Applications. http://www.cs.rug.nl/ aiellom/publications/icpca09.pdf
  9. Aiello, M., Catarci, T., & Mecella, M. (2009). Smart Homes Infrastructures and Interactions. IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, 234–235. http://dx.doi.org/10.1109/WETICE.2009.68
  10. Lazovik, E., den Dulk, A. C. T., de Groote, M., Lazovik, A., & Aiello, M. (2009). Services inside the Smart Home: A Simulation and Visualization tool. International Conference on Service Oriented Computing. http://www.cs.rug.nl/ aiellom/publications/icsoc09.pdf
  11. Bulanov, P. (2009). Maintenance of customized processes. PhD Symposium, Hosted by 7th International Conference on Service Oriented Computing, 25–30. http://ceur-ws.org/Vol-548/paper5.pdf
  12. Aiello, M. (2009). General Chair’s Report. 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, 2009. http://dx.doi.org/10.1109/WETICE.2009.4

2008

  1. Aiello, M., van Benthem, N., & el Khoury, E. (2008). Visualizing Compositions of Services from Large Repositories. E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services, 2008 10th IEEE Conference On, 359–362. http://www.cs.rug.nl/ aiellom/publications/wsc08.pdf
  2. Laursen, M., Blanke, M., & Dü?tegör, D. (2008). Fault diagnosis of a water for injection system using enhanced structural isolation. International Journal of Applied Mathematics and Computer Science, 18(4), 593–603.
  3. Düstegör, D., Poroseva, S. V., Hussaini, M. Y., & Woodruff, S. L. (2008). A new methodology for automated assessment of fault detection and isolation possibilities in large power systems. Grand Challenges in Modeling and Simulation Symposium 2008, GCMS 2008, Part of the 2008 Summer Simulation Multiconference, SummerSim 2008, 88–95.
  4. Düstegör, D., Poroseva, S. V., Hussaini, M. Y., & Woodruff, S. L. (2008). Structural analysis for assessment of monitoring possibilities: Application to simple power system topologies. IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES.
  5. Sun, C., & Aiello, M. (2008). Towards Variable Service Compositions using VxBPEL. In H. Mei (Ed.), International Conference on Software Reuse: Vol. LNCS 5030 (pp. 257–261).
  6. Aiello, M., & Dustdar, S. (2008). Are our homes ready for services? A domotic infrastructure based on the Web service stack. Pervasive and Mobile Computing, 4(4), 506–525. http://www.sciencedirect.com/science/article/B7MF1-4RMFP60-1/2/e599fbbfb162b2e67ebac22939eb1d52

2007

  1. Dü?tegör, D., Cocquempot, V., & Staroswiecki, M. (2007). Adaptive structural analysis for FDI design in evolving systems. Fault Detection, Supervision and Safety of Technical Processes 2006, 1, 420–425.
  2. Sun, C., & Aiello, M. (2007). Requirements and Evaluation of Protocols and Tools for Transaction Management in Service Centric Systems. Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International, 2, 461–466. http://www.cs.rug.nl/ aiellom/publications/refs07.pdf
  3. Aiello, M., Dustdar, S., & Gall, H. (2007). DMC Workshop Final Report. Enabling Technologies: Infrastructure for Collaborative Enterprises, 2007. WETICE 2007. 16th IEEE International Workshops On, 167–169. http://dx.doi.org/10.1109/WETICE.2007.4407145
  4. Aiello, M., & Ottens, B. (2007). The Mathematical Morpho-Logical view on Reasoning about Space. International Joint Conference on Artificial Intelligence, 205–211. http://www.cs.rug.nl/ aiellom/publications/ijcai07.pdf
  5. Aiello, M., Pratt-Hartman, I., & van Benthem, J. (2007). Handbook of Spatial Logics. Springer.

2006

  1. Lazovik, A., Aiello, M., & Papazoglou, M. (2006). Planning and monitoring the execution of web service requests. International Journal on Digital Libraries, 6(3), 235–246.
  2. Lazovik, A., Aiello, M., & Gennari, R. (2006). Choreographies: using Constraints to Satisfy Service Requests. In Proceedings of the Advanced International Conference on Telecommunications and International Conference on Internet and Web Applications and Services (AICT/ICIW 2006). IEEE (The Institute of Electrical and Electronics Engineers).
  3. Aiello, M., & Lazovik, A. (2006). Monitoring Assertion-Based Business Processes. International Journal of Cooperative Information Systems, 15(3), 359–389.
  4. Dü?tegör, D., Frisk, E., Cocquempot, V., Krysander, M., & Staroswiecki, M. (2006). Structural analysis of fault isolability in the DAMADICS benchmark. Control Engineering Practice, 14(6 SPEC. ISS.), 597–608.
  5. Dü?tegör, D., Cocquempot, V., & Staroswiecki, M. (2006). Adaptive structural analysis for FDI design in evolving systems. IFAC Proceedings Volumes (IFAC-PapersOnline), 6(PART 1), 420–425.
  6. Düştegör, D., Cocquempot, V., & Staroswiecki, M. (2006). Adaptive structural analysis for FDI design in evolving systems. 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006, PART 1, 420–425. https://doi.org/10.3182/20060829-4-cn-2909.00069

2005

  1. Lazovik, A., Aiello, M., & Gennari, R. (2005). Encoding Requests to Web Service Compositions as Constraints. In P. van Beek (Ed.), CP 2005, LNCS 3709 (pp. 782–786). Springer.
  2. Lazovik, A., Aiello, M., & Gennari, R. (2005). Encoding Requests to Web Service Compositions as Constraints. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.

2004

  1. Lazovik, A., Aiello, M., & Papazoglou, M. (2004). Associating Assertions with Business Processes and Monitoring their Execution. In EPRINTS-BOOK-TITLE. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.
  2. Dü?tegör, D., Cocquempot, V., Staroswiecki, M., & Frisk, E. (2004). Structural isolability of faults and breakdowns: Application to a valve model,Isolabilité structurelle des défaillances: Application à un modèle de vanne. Journal Europeen Des Systemes Automatises, 38(1-2), 103–124.
  3. Dü?tegör, D., Cocquempot, V., & Staroswiecki, M. (2004). Structural analysis for residual generation: Towards implementation. Proceedings of the IEEE International Conference on Control Applications, 2, 1217–1222.
  4. Düştegör, D., Cocquempot, V., Staroswiecki, M., & Frisk, E. (2004). Isolabilité structurelle des défaillances: Application à un modèle de vanne. Journal Europeen Des Systemes Automatises, 38(1-2), 103–124. https://doi.org/10.3166/jesa.38.103-124

2003

  1. Lazovik, A., Aiello, M., & Papazoglou, M. (2003). Planning and monitoring the execution of web service requests. In EPRINTS-BOOK-TITLE. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.
  2. Lazovik, A., Aiello, M., & Papazoglou, M. (2003). Planning and monitoring the execution of web service requests. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.
  3. Frisk, E., Dü?tegör, D., Krysander, M., & Cocquempot, V. (2003). Improving fault isolability properties by structural analysis of faulty behavior models: Application to the damadics benchmark problem. IFAC Proceedings Volumes (IFAC-PapersOnline), 36(5), 1107–1112.