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University of Groningen
Nijenborgh 9
9747 AG Groningen
The Netherlands

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2025

  1. 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
  2. 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
  3. 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
  4. 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

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. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. Rigoni, D., & Düştegör, D. (2024). Science-Twins: Digital Twins for Interactive Lecture Demonstrations. 1st International Workshop on Distributed Digital Twins, DiDit 2024.
  12. 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).

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. 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).
  4. 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
  5. 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
  6. 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.

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., 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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.
  9. 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.
  10. 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
  11. 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
  12. 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
  13. 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

2021

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

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. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. Fiorini, L., & Aiello, M. (2020). Predictive Multi-Objective Scheduling with Dynamic Prices and Marginal CO2-Emission Intensities. ACM e-Energy 2020.
  9. Fiorini, L., Steg, L., & Aiello, M. (2020). Sustainability Choices when Cooking Pasta. ACM e-Energy 2020.
  10. 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

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. 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
  5. 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
  6. 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

2018

  1. 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
  2. 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
  3. 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
  4. 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.
  5. 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).
  6. Fiorini, L., & Aiello, M. (2018). Household CO2-efficient energy management. Energy Informatics.
  7. 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. Pratama, A. R., Widyawan, Lazovik, A., & Aiello, M. (2017). Power-Based Device Recognition for Occupancy Detection. Service-Oriented Computing - ICSOC 2017 Workshops, in press.
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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. 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
  3. 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.
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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. 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).
  2. Georgievski, I., & Lazovik, A. (2014). Utility-Based HTN Planning. 21st European Conference on Artificial Intelligence, 1013–1014.
  3. 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.
  4. 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.
  5. Scala, A., Quattrociocchi, W., Pagani, G. A., & Aiello, M. (2014). Self-healing protocols for infrastructural networks. International Conference on Critical Information Infrastructures Security.
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. Blaauw, F. J., Bazylevska, L., & Aiello, M. (2014). Gamification in a Consulting Company. 7th GI Workshop on Autonomous Systems, 128–139.
  13. 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
  14. 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
  15. 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.
  16. 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
  17. 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. 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
  2. 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.
  3. Degeler, V., & Lazovik, A. (2013). Dynamic constraint reasoning in smart environments. IEEE International Conference on Tools with Artificial Intelligence, 167–174.
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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#
  13. 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
  14. Nizamic, F. (2013). Testing of Distributed Service-Oriented Systems. ICSOC, 8377. http://www.cs.rug.nl/ faris/pubs/TSO13.pdf
  15. 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
  16. 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.
  17. 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
  18. 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. Degeler, V., & Lazovik, A. (2012). Cost-efficient context-aware rule maintenance. International Conference on Pervasive Computing and Communications Workshops, 608–612.
  2. 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.
  3. 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.
  4. 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.
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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. Kaldeli, E., Lazovik, A., & Aiello, M. (2011). Continual Planning with Sensing for Web Service Composition. AAAI Conference on Artificial Intelligence, 1198–1203.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. F. Nizamic, R. G., & Lazovik, A. (2011). Testing for Highly Distributed Service-oriented Systems using Virtual Environments. Dutch Testing Day.
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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., Lazovik, A., & Aiello, M. (2009). Extended Goals for Composing Services. International Conference on Automated Planning and Scheduling, 362–365.
  2. 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.
  3. 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.
  4. 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
  5. 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.
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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. 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).

2007

  1. 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
  2. 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
  3. 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

2006

  1. 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