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

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2023

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