Selected Publications

2026

  1. M. Ghazikor, Z. Ni, and M. Hashemi, “Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks”, In IEEE GLOBECOM 2026.

  2. A. Ghasemi, M. Hashemi, “Enhancing Time-Series Forecasting with Age of Information and Data Relevance in Task-Oriented, Energy-Efficient Wireless Communication”, In IEEE Transactions on Green Communications and Networking, 2026.

  3. Z. Ni, M. Ghazikor, M. Hashemi, “pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data”, IEEE/ACM Transactions on Networking, 2026.

  4. A. Stratmann, M. Hashemi, “Efficient Index-Based Multi-User Scheduling for Mobile mmWave Networks: Balancing Channel Quality and User Experience”, IEEE Consumer Communications & Networking Conference (CCNC), 2026.

  5. M. Ghazikor, V. L. Nguyen, M. Hashemi, “Performance Analysis of RIS-Assisted UAV Communication in NOMA Networks,” IEEE IEEE Consumer Communications & Networking Conference (CCNC), 2026.

  6. Z. Ni, S. R. Chintareddy, P. Guan, M. Hashemi,“Personalized Federated Learning-Driven Beamforming Optimization for Integrated Sensing and Communication System,” IEEE IEEE Consumer Communications & Networking Conference (CCNC), 2026.

2025

  1. M. Ghazikor, K. Roach, K. Cheung, M. Hashemi, “Channel-Aware Distributed Video Streaming and C2 Transmission Control in UAV Networks”, IEEE Transactions on Communications (TCOM), 2025.

  2. A. Shojaeighadikolaei, Z. Talata, M. Hashemi, “Distributed Management of EV Charging Networks: Cooperative vs. Non-cooperative Multi-agent Reinforcement Learning”, In IEEE Transactions on Control of Network Systems, 2025.

  3. S. R. Chintareddy, K. Roach, K. Cheung, M. Hashemi, “Federated Learning based Wideband Spectrum Sensing for Networked UAVs in UTM Systems”, IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), 2025.

  4. B. Badnava, J. Chakareski, M. Hashemi, “Neural-Enhanced Rate Adaptation and Computation Distribution for Emerging mmWave Multi-User 3D Video Streaming Systems”, In IEEE Transactions on Multimedia (TMM), 2025.

  5. J. Shen, F. Li, M. Hashemi, H. Fang, “Resilient and Robust Controller Design in Large-scale Multi-agent Industrial Cyber-physical Systems”, Journal of Dynamic Systems, Measurement, and Control, 2025 

  6. F. Z. Safaeipour, J. Chakareski, M. Hashemi, “Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems”, ACM/IEEE Symposium on Edge Computing, 2025.

  7. Toye Oloko, Zsolt Talata, M. Hashemi, “Error-Sensitive Dynamic Calibration for Online Optimization with Switching Costs”, 61st IEEE Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, Illinois, September 17-19, 2025.

  8. J. Chakareski, M. Hashemi, “Viewport-Adaptive Scalable Tiling Multicast and Client-Side Neural Enhancement Processing of Live 360-Degree Video”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2025.

  9. J. Shen, H. Tu, F. Li, M. Hashemi, and H. Fang, “Dual State-space Fidelity Blade (D-STAB): A Novel Stealthy Cyber-physical Attack Paradigm”, American Control Conference (ACC), 2025.

2024

  1. A. Shojaeighadikolaei, A. Ghasemi, M. Hashemi, “Combating Uncertainties in Smart Grid Decision Networks: Multi-Agent Reinforcement Learning
    with Imperfect State Information”, In IEEE Internet of Things Journal, 2024.

  2. B. Badnava, J. Chakareski, M. Hashemi,“Joint Communication and Computation Resource Allocation for Emerging mmWave Multi-User 3D Video Streaming Systems”, IEEE Global Communications Conference (GLOBECOM), 2024.

  3. Z. Chen, Z. Ni, P. Guan, L. Wang, L. Cai, M. Hashemi, Z. Li, “Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks”, IEEE Global Communications Conference (GLOBECOM), 2024.

  4. B. Badnava, J. Chakareski, M. Hashemi,“Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2024.

  5. M. Ghazikor, K. Roach, K. Cheung, M. Hashemi, “Interference-Aware Queuing Analysis for Distributed Transmission Control in UAV Networks”, IEEE International Conference on Communications (ICC), 2024.

  6. J. Shen, F. Li, M. Hashemi, H. Fang, “Model-free Resilient Controller Design based on Incentive Feedback Stackelberg Game and Q-learning”, IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2024.

  7. F. Z. Safaeipour, M. Hashemi, “Semantic-Aware and Goal-Oriented Communications for Object Detection in Wireless End-to-End Image Transmission”, International Conference on Computing, Networking and Communications (ICNC), 2024.

2023

  1. G. Yao, M. Hashemi, R. Singh, and N. B. Shroff. “Delay-Optimal Scheduling for Integrated mmWave Sub-6 GHz Systems with Markovian Blockage Model.” In IEEE Transactions on Mobile Computing, 2023

  2. Z. Ni, M. Hashemi, “Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach”, IEEE Virtual Conference on Communications (VCC), 2023.

  3. A. Ghasemi, M. Hashemi, “Harnessing the Power of Transformer Learning with Long-Term Memory for Renewable Energy Forecasting”, IEEE Virtual Conference on Communications (VCC), 2023.

  4. B. Badnava, K. Roach, K. Cheung, M. Hashemi, N. B. Shroff, “Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems”, IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, 4-8 December 2023.

  5. S. R. Chintareddy, K. Roach, K. Cheung, M. Hashemi, “Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM
    Systems”, IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 4-8, 2023.

  6.  A. Shojaeighadikolaei, M. Hashemi, “An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control”, 59th IEEE Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, Illinois, September 26-29, 2023.

  7. M. Ghazikor, K. Roach, K. Cheung, M. Hashemi, “Exploring the Interplay of Interference and Queues in Unlicensed Spectrum Bands for UAV Networks”, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2023.

2022

  1. B. Badnava, S. R. Chintareddy, M. Hashemi, “QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach,” IEEE International Symposium on Information Theory (ISIT), 2022

  2. M. Lunar, J. Sun, J. Wensowitch, M. Fay, H. B. Tulay, V. Karanam, B. Qiu, D. Nadig, G. Attebury, H. Yu, J. Camp, C. E. Koksal, D. Pompili, B. Ramamurthy, M. Hashemi, E. Ekici, M. C. Vuran, “OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds”, In Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization.

2021

  1. J. Kim, T. Kim, M. Hashemi, C. Brinton, D. Love, “Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks”, IEEE/ACM Transactions on Networking, 2021.

  2. B. Badnava, T. Kim, K. Cheung, Z. Ali, M. Hashemi, “Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning”, IEEE/ACM Symposium on Edge Computing (SEC), 2021

  3. S. R. Chintareddy, M. Mezzavilla, S. Rangan, M. Hashemi, “A Preliminary Assessment of Midhaul Links at 140 GHz Using Ray-tracing”, In Proceedings of the 5th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (mmNets), 2021.

  4. C. Samarathungage, M. Abouelseoud, K. Sakoda, M. Hashemi, “Multihop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks”. IEEE 93rd Vehicular Technology Conference (VTC-Spring), 2021.

  5. C. Sun, N. NaderiAlizadeh, M. Hashemi, “Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning,” IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, 2021, pp. 1-6, doi: 10.1109/GCWkshps52748.2021.9682108.

  6.  A. Shojaeighadikolaei, A. Ghasemi, A. G. Bardas, R. Ahmadi, M. Hashemi, “Weather-Aware Data-Driven Microgrid Energy Management Using Deep Reinforcement Learning,” IEEE North American Power Symposium (NAPS), College Station, TX, 2021

  7. C. Sun, M. Hashemi, “Efficient User Localization in Wireless Networks Using Active Deep Learning,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2021.

2020

  1. A. Ghasemi, A. Shojaei, K. Jones, M. Hashemi, A. Bardas, R. Ahmadi, “A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids”. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, 2020.

  2. L. Shang, M. Hashemi, T. Kim, E. Perrins, “Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes”, IEEE Global Communications Conference (GLOBECOM), 2020.

  3. A. Shojaei, A. Ghasemi, K. Jones, A. Bardas, M. Hashemi, R. Ahmadi, “Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Micro-grids using Multi-agent Reinforcement Learning”, In 52nd North American Power Symposium, 2020.

  4. J. Kim, T. Kim, M. Hashemi, C. Brinton, D. Love, “Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing”, In IEEE International Conference on Computer Communications (INFOCOM), 2020.

2019 and Earlier

  1. N. Naderializadeh, M. Hashemi, “Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach”, In Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2019.

  2. G. Yao, M. Hashemi, N. B. Shroff, “Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling”, International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2019.

  3. M. Hashemi, C. E. Koksal, N. B. Shroff, “Out-of-Band mmWave Beamforming and Communications to Achieve Low Latency and High Energy Efficiency in 5G Systems”, IEEE Transactions on Communications, 2018.

  4. M. Hashemi, A. Sabharwal, C. E. Koksal, N. B. Shroff, “Efficient Beam Alignment in Millimeter Wave Systems Using Contextual Bandits”, IEEE International Conference on Computer Communications (INFOCOM), Honolulu, HI, 2018.

  5. M. Hashemi, C. E. Koksal, N. B. Shroff, “Rate-Optimal Power and Bandwidth Allocation in an Integrated Sub-6 GHz – Millimeter Wave Architecture,” Asilomar Conference on Signals, Systems, and Computers Pacific Grove, CA, 2017.

  6. M. Hashemi, C. E. Koksal, N. B. Shroff, “Hybrid RF/mmWave Beamforming and Communications to Achieve Low Latency and High Energy Efficiency in 5G Cellular Systems”, International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2017.

  7. M. Hashemi, Y. Cassuto, A. Trachtenberg, “Fountain Codes with Nonuniform Selection Distributions through Feedback”, IEEE Transactions on Information Theory, 2016.

  8. W. Si, D. Starobinski, M. Hashemi, A. Trachtenberg, “Delay of LIFO Backpressure: Quirks and Improvements”, IEEE Transactions on Control of Network Systems, 2015.

  9. W. Si, M. Hashemi, L. Xin, D. Starobinski, A. Trachtenberg, “TeaCP: a Toolkit for Evaluation and Analysis of Collection Protocols in Wireless Sensor Networks”, IEEE Transactions on Network and Service Management, 2015.

  10. M. Hashemi, A. Trachtenberg, “CDP: A Coded Datagram Transport Protocol Bridging UDP and TCP”, Proceedings of the 8th ACM International Systems and Storage Conference (SYSTOR), 2015.

  11. M. Hashemi, W. Si, M. Laifenfeld, D. Starobinski, A. Trachtenberg, “Intra-car Multi-hop Wireless Sensor Networking: A Case Study”, IEEE Communications Magazine, 2014.

  12. M. Hashemi, A. Trachtenberg, “Near Real-time Rateless Coding with Constrained Feedback Budget”, Proceedings of the 52nd Annual Allerton Conference on Communication, Control, and Computing, 2014.

  13. M. Hashemi, Y. Cassuto, A. Trachtenberg, “Delete-and-Conquer: Rateless Coding with Feedback”, Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing, 2013.

  14. M. Hashemi, W. Si, M. Laifenfeld, D. Starobinski, A. Trachtenberg, “Intra-car Wireless Sensors Data Aggregation: A Multi-hop Approach”, Proceedings of the 77th Vehicular Technology Conference (VTC), 2013.

  15. W. Si, M. Hashemi, D. Starobinski, A. Trachtenberg, “TeaCP: a Toolkit for Evaluation and Analysis of Collection Protocols in Wireless Sensor Networks”, IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS), 2013.

  16. H. Aghasi, M. Hashemi, B.H. Khalaj, “Source Localization through Adaptive Signal Attenuation Model and Time Delay Estimation”, IEEE Conference on Telecommunications (ICT), 2011.