Visiting address

DS - BI
University of Groningen
Nijenborgh 9
9747 AG Groningen
The Netherlands

Quick links

Follow us

TODO

Articles

Filters

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. 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.

2024

  1. 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
  2. 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
  3. 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
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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. 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
  2. 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
  3. 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
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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.
  7. 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.
  8. 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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.
  9. 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.
  10. 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
  11. 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
  12. 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.
  13. 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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.
  9. 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. 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
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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
  8. 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
  9. Yousefi, M. H. N., Goudarzi, M., & Motahari, S. A. (2019). IMOS: improved meta-aligner and Minimap2 on spark. BMC Bioinformatics, 20(1), 1–14.
  10. 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
  11. 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. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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.

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. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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.
  8. 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.
  9. 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.

2016

  1. 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
  2. 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
  3. 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
  4. 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.
  5. 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
  6. 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.
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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.

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. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015-November, 2551–2554.
  2. 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.
  3. 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.
  4. 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.
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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

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. Pagani, G. A., & Aiello, M. (2014). Generating Realistic Dynamic Prices and Services for the Smart Grid. IEEE Systems Journal, 9(1), 191–198.
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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.
  9. 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

2013

  1. 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
  2. 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).
  3. 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.
  4. 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
  5. 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
  6. 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.
  7. 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
  8. 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
  9. 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
  10. 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
  11. Aiello, M. (2013). Aware homes. Awareness Magazine: Self-Awareness in Autonomic Systems. http://www.awareness-mag.eu/pdf/005166/005166.pdf

2012

  1. 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
  2. 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
  3. Nizamic, F., Degeler, V., Groenboom, R., & Lazovik, A. (2012). Policy-Based Scheduling of Cloud Services. Scalable Computing: Practice and Experience, 13(3), 187–199.
  4. Degeler, V., & Lazovik, A. (2012). Reduced context consistency diagrams for resolving inconsistent data. ICST Transactions on Ubiquitous Environments, 12(10-12).
  5. 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
  6. 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
  7. 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
  8. 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
  9. Aiello, M., Agarwal, N., Raman, R., & Rathod, U. (2012). Forward. Journal of System Assurance Engineering and Management, 3(2), 71–72.

2011

  1. 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
  2. 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
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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

2010

  1. 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.
  2. 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.
  3. 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
  4. 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

2008

  1. 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.
  2. 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.
  3. 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.
  4. 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.

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. Aiello, M., & Lazovik, A. (2006). Monitoring Assertion-Based Business Processes. International Journal of Cooperative Information Systems, 15(3), 359–389.
  3. 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.
  4. 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.

2004

  1. 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.
  2. 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.
  3. 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. 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.