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Preprints
- R. Debnath, L. Zaho, M. Barzegaran, and S. Steinhorst. CyclicSim: Comprehensive Evaluation of Cyclic Shapers in Time-Sensitive Networking. arXiv:2409.19792, 2024. [pdf]
- F. Jurado Lasso, M. Barzegaran, J.F. Jurado, and X. Fafoutis. ELISE: A Reinforcement Learning Framework to Optimize the Sloftframe Size of the TSCH Protocol in IoT Networks. Authorea Preprints, 2023. [pdf]
- M. Barzegaran, N. Reusch, L. Zhao, S.S. Craciunas, and P. Pop. Real-time Guarantees for Critical Traffic in IEEE 802.1 Qbv TSN Networks with Unscheduled and Unsynchronized End-Systems. arXiv:2105.01641, 2021. [pdf]
Peer-Reviewed Journal Papers
- C. Diaz-Vilor, M. Barzegaran, and H. Jafarkhani. Multi-UAV Energy-Efficient Wildfire Coverage Optimization. IEEE Transactions on Wireless Communications, 2025. In Press. [pdf]
- F. Jurado Lasso, M. Barzegaran, J.F. Jurado, and X. Fafoutis. ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks. IEEE Systems Journal, 2024. In Press. [pdf] [video]
- N. Reusch, M. Barzegaran, L. Zhao, S.S. Craciunas, and P. Pop. Configuration Optimization for Heterogeneous Time-Sensitive Networks. Real-Time Systems,No. 59, pp. 705–747, 2023. [pdf]
- M. Barzegaran and P. Paul. Extensibility-aware Fog Computing Platform Configuration for Mixed-Criticality Applications. Journal of Systems Architecture, pp. 102776, 2022. [pdf]
- P. Paul, B. Zarrin, M. Barzegaran, S. Schulte, S. Punnekkat, J. Ruh, and W. Steiner. The FORA Fog Computing Platform for Industrial IoT. Information Systems,No. 98, pp. 101727, 2021. [pdf]
- M. Barzegaran, and P. Paul. Communication Scheduling for Control Performance in TSN-based Fog Computing Platforms. IEEE Access, No. 9, pp. 50782–50797, 2021. [pdf]
- M. Barzegaran, N. Desai, J. Qian, and P. Paul. Electric Drives as Fog Nodes in a Fog Computing-based Industrial Use Case. The Journal of Engineering, No. 12, pp. 45–761, 2021. [pdf]
- M. Barzegaran, A. Cervin, and P. Paul. Performance Optimization of Control Applications on Fog Computing Platforms Using Scheduling and Isolation. IEEE Access, No. 8, pp. 104085–104098, 2020. [pdf]
- M. Barzegaran and A. Kosari. A Model of Flow Aeparation Controlled by Dielectric Barrier Discharge. Chinese Journal of Aeronautics, No. 30, pp. 660–1669, 2017. [pdf]
Peer-Reviewed Conference Papers
- M. Barzegaran and H. Jafarkhani. A Framework for Constrained Deployment Optimization of Wireless Mobile Sensor Networks. Proceedings of the IEEE Vehicular Technology Conference (VTC2024-Fall), pp. 1-6, 2024. [pdf]
- M. Barzegaran and P. Paul. The FORA European Training Network on Fog Computing for Robotics and Industrial Automation. Proceedings of the Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1-6, 2023. [pdf]
- M. Barzegaran, N. Reusch, L. Zhao, S.S. Craciunas, and P. Pop. Real-Time Traffic Guarantees in Heterogeneous Time-sensitive Networks. Proceedings of the International Conference on Real-Time Networks and Systems, pp. 46-57, 2022. [pdf]
- J. Qian and M. Barzegaran. A Decomposed Deep Training Solution for Fog Computing Platforms. Proceedings of IEEE/ACM Symposium on Edge Computing (SEC), pp. 423–431, 2021. [pdf]
- I. Murturi, M. Barzegaran, and S. Dustdar. A Decentralized Approach for Determining Configurator Placement in Dynamic Edge Networks. Proceedings of the IEEE International Conference on Cognitive Machine Intelligence (CogMI), pp. 147–156, 2020. [pdf]
- M. Barzegaran, V. Karagiannis, C. Avasalcai, P. Pop, S. Schulte, and S. Dustdar. Towards Extensibility-Aware Scheduling of Industrial Applications on Fog Nodes. Proceedings of the International Conference on Edge Computing, pp. 67–75, 2020. [pdf]
- M. Barzegaran, N. Desai, J. Qian, K. Tange, B. Zarrin, P. Pop, and J. Kuusela. Fogification of Electric Drives: An Industrial Use Case. Proceedings of the IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1-5, 2020. [pdf]
- M. Barzegaran, B. Zarrin, and P. Pop. Quality-of-control-aware Scheduling of Communication in TSN-based Fog Computing Platforms Using Constraint Programming. Proceedings of the Workshop on Fog Computing and the IoT, pp. 1-4, 2020. [pdf]
- A. Cervin, P. Pazzaglia, M. Barzegaran, and R. Mahfouzi. Using Jittertime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems. Proceedings of the IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1025–1032, 2019. [pdf]
- M. Barzegaran, A. Cervin, and P. Pop. Towards Quality-of-Control-aware Scheduling of Industrial Applications on Fog computing Platforms. Proceedings of the Workshop on Fog Computing and the IoT (IoT-Fog), pp. 1-5, 2019. [pdf]
