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University of Groningen
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9747 AG Groningen
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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., Tosatto, S. C., & Burke, H. (2023). Cross-Instance Regulatory Compliance Checking of Business Process Event Logs. IEEE Transactions on Software Engineering, 1–14. https://doi.org/10.1109/TSE.2023.3319086
  4. 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].
  5. 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).
  6. 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
  7. 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
  8. Saleh, S., & Koldehofe, B. (2023, June). Memristor-based Cognitive and Energy-Efficient Analog In-network Computing. Neuromorphic Summer School [Posters].
  9. 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
  10. 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

2022

  1. Haghshenas, K., Setz, B., & Aiello, M. (2022, December). 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
  2. 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
  3. 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
  4. 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
  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. Medema, M., & Lazovik, A. (2022). Correlating the Community Structure of Constraint Satisfaction Problems with Search Time. International Journal on Artificial Intelligence Tools, 31(07). https://doi.org/10.1142/S0218213022600041
  7. 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
  8. 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
  9. 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
  10. Groefsema, H., van Beest, N. R. T. P., & 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
  11. 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
  12. 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
  13. Sultana, N., Hossain, S. M. Z., Almuhaini, S., & Düştegör, D. (2022). Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand. Energies 2022, Vol. 15, Page 3425, 15(9), 3425. 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

2021

  1. Jan, F., Min-Allah, N., & Düştegör, D. (2021). Iot based smart water quality monitoring: Recent techniques, trends and challenges for domestic applications. In Water (Switzerland) (Vol. 13, Number 13). https://doi.org/10.3390/w13131729
  2. Mezhoudi, N., Alghamdi, R., Aljunaid, R., Krichna, G., & Düştegör, D. (2021). Employability prediction: a survey of current approaches, research challenges and applications. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-021-03276-9
  3. Fiorini, L. (2021). Multi-Energy Management of Buildings in Smart Grids [PhD thesis, University of Groningen]. https://doi.org/https://doi.org/10.33612/diss.178373601">10.33612/diss.178373601
  4. 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
  5. 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/https://doi.org/10.1177/17298814211060650">10.1177/17298814211060650
  6. 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.
  7. 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.
  8. 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/https://doi.org/10.1002/nem.2134">10.1002/nem.2134
  9. 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/https://doi.org/10.1016/j.jcss.2021.05.003">10.1016/j.jcss.2021.05.003
  10. 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 International Publishing. https://doi.org/https://doi.org/10.1007/978-3-030-73203-5_2">10.1007/978-3-030-73203-5_2
  11. 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
  12. 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/https://doi.org/10.1109/ICC42927.2021.9500943">10.1109/ICC42927.2021.9500943
  13. 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
  14. 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/https://doi.org/10.1109/LANMAN52105.2021.9478796">10.1109/LANMAN52105.2021.9478796
  15. Boughzala, B. (2021). Accelerating the Performance of Data Analytics using Network-centric Processing. The 15th ACM International Conference on Distributed and Event-Based Systems (DEBS ’21), June 28-July 2, 2021, Virtual Event, Italy. https://doi.org/https://doi.org/10.1145/3465480.3468162
  16. 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
  17. Governatori, G., van Beest, N. R. T. P., Cryer, A., & Groefsema, H. (2021). "log data compliance" (Number WO2021/248201) [Patent]. https://research.rug.nl/en/publications/log-data-compliance

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/https://doi.org/10.1007/s12469-020-00251-z">10.1007/s12469-020-00251-z
  2. 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
  3. Groefsema, H., van Beest, N. R. T. P., & Armas-Cervantes, A. (2020). Efficient conditional compliance checking of business process models. Computers in Industry, 115. https://doi.org/10.1016/j.compind.2019.103181
  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. Alyahyan, E., & Düştegör, D. (2020). Predicting academic success in higher education: literature review and best practices. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-0177-7
  6. Tatar, A. E., & Düştegör, D. (2020). Prediction of academic performance at undergraduate graduation: Course grades or grade point average? Applied Sciences (Switzerland), 10(14). https://doi.org/10.3390/app10144967
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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.
  15. 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
  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/https://doi.org/10.1145/3378184.3378214">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. 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.
  3. 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
  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. 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
  6. van Beest, N. R. T. P., Groefsema, H., Garcia-Banuelos, 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
  7. Robles, P., Tello, A., Solano-Quinde, L., & Zúñiga-Prieto, M. (2019). Temporal Analysis of 911 Emergency Calls Through Time Series Modeling. The International Conference on Advances in Emerging Trends and Technologies, 136–145.
  8. Tello, A., Izquierdo, I., Pacheco, G., & Vanegas, P. (2019). Prediction of Imports of Household Appliances in Ecuador Using LSTM Networks. Conference on Information Technologies and Communication of Ecuador, 194–207.
  9. Düştegör, D., Farooqui, M., & Khan, M. A. A. (2019). Fostering higher cognitive skills through design thinking in digital hardware course: A case study. ICIC Express Letters, 13(10). https://doi.org/10.24507/icicel.13.10.891
  10. Düştegör, D. (2019). Analytical tool for the modelling and simulation of curriculum: Towards automated design, assessment, and improvement. International Journal of Engineering Education, 35(2).
  11. 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
  12. 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
  13. Yousefi, M. H. N., Goudarzi, M., & Motahari, S. A. (2019). IMOS: improved meta-aligner and Minimap2 on spark. BMC Bioinformatics, 20(1), 1–14.
  14. Pratama, A. R., Lazovik, A., & Aiello, M. (2019). Office Multi-Occupancy Detection using BLE Beacons and Power Meters. 2019 IEEE 10th Annual Ubiquitous Computing, Electronics, and Mobile Communication Conference.

2018

  1. Kollenstart, M., Harmsma, E., Langius, E., Andrikopoulos, V., & Lazovik, A. (2018). Adaptive Provisioning of Heterogeneous Cloud Resources for Big Data Processing. Big Data and Cognitive Computing, 2, 15. https://doi.org/10.3390/bdcc2030015
  2. 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
  3. 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
  4. 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
  5. 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
  6. Saquicela Vı́ctor, Segarra, J., Ortiz, J., Tello, A., Espinoza, M., Lupercio Lucı́a, & Villazón-Terrazas, B. (2018). LOD-GF: an integral linked open data generation framework. Conference on Information Technologies and Communication of Ecuador, 283–300.
  7. Robles, P., Tello, A., Zúñiga-Prieto, M., & Solano-Quinde, L. (2018). Modeling 911 emergency events in Cuenca-Ecuador using geo-spatial data. International Conference on Technology Trends, 564–577.
  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.
  9. Santiago da Silva, J., Stimpfling, T., Luinaud, T., Fradj, B., & Boughzala, B. (2018). One for All, All for One: A Heterogeneous Data Plane for Flexible P4 Processing. ArXiv e-Prints, arXiv–1807.
  10. Düştegör, D., Sultana, N., Felemban, N., & Qahtani, D. A. (2018). A smarter electricity grid for the Eastern Province of Saudi Arabia: Perceptions and policy implications. Utilities Policy, 50. https://doi.org/10.1016/j.jup.2017.09.009
  11. 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. https://doi.org/10.1108/IJIS-09-2017-0100
  12. Elhussein, M. A., Düştegör, 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). https://doi.org/10.1109/TE.2018.2840501
  13. Sameh, H., Aiman, K., & Düştegör, 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. https://doi.org/10.1109/IEEEGCC.2017.8447915
  14. Aiello, M. (2018). The Web Was Done by Amateurs: A Reflection on One of the Largest Collective Systems Ever Engineered. Springer.
  15. 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
  16. 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
  17. 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
  18. 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
  19. Pratama, A. R., Widyawan, W., Lazovik, A., & Aiello, M. (2018). Multi-User Low Intrusive Occupancy Detection. Sensors, 18(3). https://doi.org/10.3390/s18030796
  20. 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
  21. 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
  22. 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.
  23. Fiorini, L., & Aiello, M. (2018). Household CO2-efficient energy management. Energy Informatics.
  24. 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. Groefsema, H., van Beest, N. R. T. P., & Armas-Cervantes, A. (2017, September). Automated compliance verification of business processes in Apromore. Proceedings of the BPM Demo Track 2017. https://research.rug.nl/en/publications/automated-compliance-verification-of-business-processes-in-apromo
  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(1), 110–139. https://doi.org/10.1016/j.pmcj.2017.02.008
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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 XLIII Latin American Computer Conference (CLEI), 1–10.
  11. Crespo, J., Tello, A., Saquicela, V., Palacio-Baus, K., & Espinoza, M. (2017). Tv program recommender using user authentication on middleware ginga. 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), 1–6.
  12. Saquicela Vı́ctor, Vilches-Blázquez, L. M., & Tello, A. (2017). Challenges and trends about smart big geospatial data: A position paper. 2017 IEEE International Conference on Big Data (Big Data), 3471–3475.
  13. Hidalgo-Delgado, Y., Estrada-Nelson, R., Xu, B., Villazon-Terrazas, B., Leiva-Mederos, A., & Tello, A. (2017). Methodological guidelines for publishing library data as linked data. 2017 International Conference on Information Systems and Computer Science (INCISCOS), 241–246.
  14. Elhussein, M., & Düştegör, D. (2017). Tracing back the chain: Cognitive pre-requisite analysis for CIS capstone project. ACM International Conference Proceeding Series, Part F1346. https://doi.org/10.1145/3175536.3175537
  15. Alsafwan, K., Alshaer, F., Hakami, L., Aseeri, K., Aljishi, M., & Düştegör, D. (2017). iTrack: A residential energy monitoring system tailored to meet local needs. https://doi.org/10.1109/econf.2015.7858256
  16. Aiello, M. (2017). two bestsellers. Saccargia Holding BV Publisher.
  17. 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.
  18. Pratama, A. R., Widyawan, Lazovik, A., & Aiello, M. (2017). Indoor self-localization via bluetooth low energy beacons. IDRBT JOURNAL OF IJBT, 1(1), 1–15.
  19. Lazovik, E., Medema, M., Albers, T., Langius, E., & Lazovik, A. (2017). Runtime Modifications of Spark Data Processing Pipelines. 2017 International Conference on Cloud and Autonomic Computing, ICCAC, 34–45. https://doi.org/10.1109/ICCAC.2017.11
  20. Georgievski, I., Nizamic, F., Lazovik, A., & Aiello, M. (2017). Cloud Ready Applications Composed via HTN Planning. IEEE International Conference on Service Oriented Computing and Applications.

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. Groefsema, H. (2016). Business Process Variability: a study into process management and verification [PhD thesis, Rijksuniversiteit Groningen]. https://research.rug.nl/en/publications/business-process-variability-a-study-into-process-management-and-
  3. 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
  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. Gualán, R., Freire, R., Tello, A., Espinoza, M., & Saquicela Vı́ctor. (2016). Automatic RDF-ization of big data semi-structured datasets. Maskana, 7, 117–127.
  6. 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.
  7. Vakili, S., Langlois, J. M. 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.
  8. 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.
  9. AlSafwan, K., AlShaer, F., Hakami, L., Aseeri, K., AlJishi, M., & Düştegör, 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). https://doi.org/10.12785/IJCDS/050405
  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. 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. http://dx.doi.org/10.5220/0005762604090416
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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. Groefsema, H., & van Beest, N. R. T. P. (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
  2. 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
  3. Tello, A., La Cruz, A., Saquicela Vı́ctor, Espinoza, M., & Vidal, M.-E. (2015). Rdf-ization of dicom medical images towards linked health data cloud. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014, 757–760.
  4. Pérez, W., Tello, A., Saquicela Vı́ctor, 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), 2551–2554.
  5. 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. 11th International Symposium on Medical Information Processing and Analysis, 9681, 968110.
  6. Tello, A., Freire, R., Espinoza, M., & Saquicela Vı́ctor. (2015). Integration and massive storage of hydro-meteorological data combining big data & semantic web technologies. Maskana, 6, 165–172.
  7. Bahnasy, M. 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.
  8. Düştegör, 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. https://doi.org/10.1109/IEEEGCC.2015.7060018
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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. 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
  2. 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
  3. 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
  4. Degeler, V., & Lazovik, A. (2014). Dynamic Constraint Satisfaction with Space Reduction in Smart Environments. International Journal on Artificial Intelligence Tools, 23(6). http://dx.doi.org/10.1142/S0218213014600276
  5. Pagani, G. A., & Aiello, M. (2014). Generating Realistic Dynamic Prices and Services for the Smart Grid. IEEE Systems Journal, 9(1), 191–198.
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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.
  11. 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
  12. 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).
  13. Scala, A., Quattrociocchi, W., Pagani, G. A., & Aiello, M. (2014). Self-healing protocols for infrastructural networks. International Conference on Critical Information Infrastructures Security.
  14. 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
  15. Harrer, S., Nizamic, F., Wirtz, G., & Lazovik, A. (2014). Towards a Robustness Evaluation Framework for BPEL Engines. International Conference on Service Oriented Computing & Applications, 199–206. http://www.cs.rug.nl/ faris/pubs/TBP14.pdf
  16. Georgievski, I., & Lazovik, A. (2014). Utility-Based HTN Planning. European Conference on Artificial Intelligence, 1013–1014. http://dx.doi.org/10.3233/978-1-61499-419-0-1013
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. Blaauw, F. J., Bazylevska, L., & Aiello, M. (2014). Gamification in a Consulting Company. 7th GI Workshop on Autonomous Systems, 128–139.
  23. 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
  24. 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
  25. 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.
  26. 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
  27. 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 No. 2013-08-07; Numbers 2013-08-07). University of Groningen. http://www.cs.rug.nl/ doina/TR/TR-2013-08-07.pdf
  2. 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. https://doi.org/10.5220/0004775401980203
  3. Düştegör, 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. https://doi.org/10.1109/IEEEGCC.2013.6705798
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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.
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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). http://dl.acm.org/citation.cfm?id=2460389
  14. 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), 115–142. http://www.sersc.org/journals/IJSH/vol7_no1_2013/11.pdf
  15. Aiello, M. (2013). Aware homes. Awareness Magazine: Self-Awareness in Autonomic Systems. http://www.awareness-mag.eu/pdf/005166/005166.pdf
  16. 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
  17. 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
  18. 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
  19. Nguyen, T. A., Degeler, V., Contarino, R., Lazovik, A., Bucur, D., & Aiello, M. (2013). Towards Context Consistency in a Rule-Based Activity Recognition Architecture. International Symposium on Ubiquitous Intelligence and Autonomic Systems, 625–630. http://dx.doi.org/10.1109/UIC-ATC.2013.97
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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#
  28. 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
  29. Nizamic, F. (2013). Testing of Distributed Service-Oriented Systems. ICSOC, 8377. http://www.cs.rug.nl/ faris/pubs/TSO13.pdf
  30. 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
  31. 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
  32. 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. Groefsema, H., Bulanov, P., & Aiello, M. (2012). Imperative versus declarative process variability: Why Choose? [Other]. https://research.rug.nl/en/publications/imperative-versus-declarative-process-variability-why-choose
  2. 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
  3. 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
  4. Bulanov, P. (2012). Management and evolution of business process variants [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/14431629/thesis.pdf
  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. 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. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6377248
  9. Nizamic, F., Degeler, V., Groenboom, R., & Lazovik, A. (2012). Policy-Based Scheduling of Cloud Services. Scalable Computing: Practice and Experience, 13(3), 187–199. http://www.cs.rug.nl/ds/uploads/pubs/scheduleClouds.pdf
  10. 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
  11. Aiello, M., Agarwal, N., Raman, R., & Rathod, U. (2012). Forward. Journal of System Assurance Engineering and Management, 3(2), 71–72.
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Caruso, M., Ciccio, C. D., Iacomussi, E., Kaldeli, E., Lazovik, A., & Mecella, M. (2012). Service Ecologies for Home/Building Automation. 10th Int. IFAC Symposium on Robot Control.
  20. van Beest, N. R. T. P., Kaldeli, E., Bulanov, P., Wortmann, J. C., & Lazovik, A. (2012). Automatic Detection of Business Process Interference. International Workshop on Knowledge-Intensive Business Processes. http://ceur-ws.org/Vol-861/KiBP2012_invited_1.pdf

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 JBI 2011-12-01; Number JBI 2011-12-01). University of Groningen. http://www.cs.rug.nl/ georgievski/pubs/opthect.pdf
  2. Groefsema, H., Bulanov, P., & Aiello, M. (2011). Declarative Enhancement Framework for Business Processes. In G. Kappel, Z. Maamar, & H. R. Motahari Nezhad (Eds.), Service-Oriented Computing (Vol. 7084, pp. 495–504). Springer. https://doi.org/10.1007/978-3-642-25535-9_34
  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, 1–7.
  4. Düştegör, 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. https://doi.org/10.1109/ISGT-MidEast.2011.6220803
  5. Düştegör, 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. https://doi.org/10.1109/ESTS.2011.5770874
  6. Düştegör, D., Mezyani, T. E., & 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. https://doi.org/10.1109/SmartGridComm.2011.6102386
  7. El-Mezyani, T., Srivastava, S. K., Cartes, D. A., & Düştegör, D. (2011). Sensor optimization and placement for enhanced power system monitoring using entropy. 2011 IEEE Electric Ship Technologies Symposium, ESTS 2011. https://doi.org/10.1109/ESTS.2011.5770864
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. Kaldeli, E., Lazovik, A., & Aiello, M. (2011). Continual Planning with Sensing for Web Service Composition. AAAI Conference on Artificial Intelligence. http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/view/3493/4059
  14. 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
  15. Aiello, M., Aloise, F., Baldoni, R., Cincotti, F., Guger, G., Lazovik, A., Mecella, M., Pucci, P., Rinsma, J., Santucci, G., & Taglieri, M. (2011). Smart Homes to Improve the Quality of Life for All. 33rd Annual International IEEE Engineering in Medicine and Biology Conference, 1777–1780.
  16. 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
  17. Degeler, V., & Lazovik, A. (2011). Interpretation of Inconsistencies via Context Consistency Diagrams. Annual IEEE International Conference on Pervasive Computing and Communications, 20–27. http://www.cs.rug.nl/ lazovik/papers/2011/degeler.lazovik.artCCD.pdf
  18. 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
  19. 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
  20. Nizamic, F., Groenboom, R., & Lazovik, A. (2011). Testing for Highly Distributed Service-oriented Systems using Virtual Environments. Postproceedings of 17th Dutch Testing Day. http://eprints.eemcs.utwente.nl/21523/

2010

  1. 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. https://research.rug.nl/en/publications/a-survey-of-variability-management-requirements
  2. 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
  3. Düştegör, 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). https://doi.org/10.1109/TPWRD.2009.2037005
  4. El-Mezyani, T., Düştegör, 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. https://doi.org/10.1109/PES.2010.5590102
  5. 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
  6. 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
  7. Kaldeli, E., Warriach, E. U., Bresser, J., Lazovik, A., & Aiello, M. (2010). Interoperation, Composition and Simulation of Services at Home. International Conference on Service Oriented Computing, 167–181. http://www.cs.rug.nl/ aiellom/publications/icsoc10.pdf
  8. Degeler, V., Georgievski, I., Lazovik, A., & Aiello, M. (2010). Concept mapping for faster QoS-Aware Web Service Composition. IEEE Conference on Service Oriented Computing and Applications, 1–4. http://www.cs.rug.nl/ aiellom/publications/wsc10.pdf
  9. 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
  10. 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
  11. van Beest, N. R. T. P., Bulanov, P., Wortmann, H., & Lazovik, A. (2010). Resolving Business Process Interference via Dynamic Reconfiguration. International Conference on Service Oriented Computing. http://www.cs.rug.nl/ lazovik/papers/2010/rug-sasleg-icsoc10.pdf
  12. Noordhuis, P., Heijkoop, M., & Lazovik, A. (2010). Mining Twitter in the Cloud: A Case Study. IEEE 3rd International Conference on Cloud Computing, 107–114. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5558003
  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

2009

  1. Kaldeli, E. (2009). Using CSP for Adaptable Web Service Composition (Technical Report JBI 2009-7-01; Number JBI 2009-7-01). University of Groningen. http://www.cs.rug.nl/ eirini/papers/tech_rep_09-7-01.pdf
  2. Aiello, M., el Khoury, E., Lazovik, A., & Ratelband, P. (2009). Optimal QoS-Aware Web Service Composition. Joint 11th IEEE Conference on E-Commerce Technology (CEC’08) and the 6th IEEE Conference on Enterprise Computing, E-Commerce and E-Services IEEE Computer. http://www.cs.rug.nl/ aiellom/publications/wsc09.pdf
  3. Lazovik, A., Kaldeli, E., Lazovik, E., & Aiello, M. (2009). Planning in a Smart Home: Visualization and Simulation. International Conference on Automated Planning and Scheduling, 13–16. http://www.cs.rug.nl/ eirini/ICAPS09_demo_description.pdf
  4. 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
  5. Kaldeli, E., Lazovik, A., & Aiello, M. (2009). Extended Goals for Composing Services. International Conference on Automated Planning and Scheduling. http://www.cs.rug.nl/ aiellom/publications/icaps09.pdf
  6. 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
  7. 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
  8. 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
  9. 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. Düştegör, 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. https://doi.org/10.1109/PES.2008.4596702
  3. Düştegör, 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.
  4. Laursen, M., Blanke, M., & Düştegör, D. (2008). Fault diagnosis of a water for injection system using enhanced structural isolation. International Journal of Applied Mathematics and Computer Science, 18(4). https://doi.org/10.2478/v10006-008-0052-5
  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. Düştegör, D., Cocquempot, V., & Staroswiecki, M. (2007). Adaptive structural analysis for FDI design in evolving systems. In Fault Detection, Supervision and Safety of Technical Processes 2006 (Vol. 1). https://doi.org/10.1016/B978-008044485-7/50071-3
  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.