Selected Publications
Journals
Submitted
- B. Badnava, J. Chakareski, M. Hashemi, “Elastic Task Offloading in Multi-
Connectivity Immersive Computing Systems: A Multi-Agent Reinforcement
Learning Approach”, Submitted to IEEE/ACM Transactions on Networking,
2026. - S. R. Chintareddy, M. Mezzavilla, S. Rangan, M. Hashemi, “CHARM: A Constrained Hybrid Adaptive Reinforcement Learning Framework for Sub-
THz Wireless Midhaul Networks”, Submitted to IEEE Open Journal of the
Communications Society, 2026. - Toye Oloko, Zsolt Talata, M. Hashemi, “Differentiable Dynamic Calibration
for Robust Neural Learning in Online Decision Systems”, Submitted to IEEE
Transactions on Signal Processing, 2026.
Published
- 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. - 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. - 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. - 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. - 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. - 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. - 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 - 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. - 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 - 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. - 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. - M. Hashemi, Y. Cassuto, A. Trachtenberg, “Fountain Codes with Nonuniform
Selection Distributions through Feedback”, IEEE Transactions on Information
Theory, 2016. - M. Hashemi, W. Si, M. Laifenfeld, D. Starobinski, A. Trachtenberg, “Intra-car
Multi-hop Wireless Sensor Networking: A Case Study”, IEEE Communications Magazine, 2014. - W. Si, D. Starobinski, M. Hashemi, A. Trachtenberg, “Delay of LIFO Backpressure: Quirks and Improvements”, IEEE Transactions on Control of Network Systems, 2015.
- 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.
Conferences
Submitted
- Toye Oloko, Zsolt Talata, M. Hashemi, “SafeSearch: Bridging Robustness
and Performance for Online Convex Optimization with Switching Costs”, Submitted to Asilomar 2026. - M. Ghazikor, Z. Ni, and M. Hashemi, “Partially-Observable Transmission
Control for UAV-Enabled Federated Learning in IoT Networks”, Submitted to
IEEE GLOBECOM 2026.
Published
- 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. - 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.
- 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. - 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. - 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. - 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. - 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. - B. Badnava, J. Chakareski, M. Hashemi,“Joint Communication and Computation Resource Allocation for Emerging mmWave Multi-User 3D Video Streaming Systems”, IEEE IEEE Global Communications Conference (GLOBECOM), 2024.
- 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. - 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. - 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. - 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.
- 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.
- Z. Ni, M. Hashemi, “Efficient Cluster Selection for Personalized Federated
Learning: A Multi-Armed Bandit Approach”, IEEE Virtual Conference on
Communications (VCC), 2023. - 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.
- 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. - 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. - 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. - 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. - 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 - 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 (WiNTECH ’21). - 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 - 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. - 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. - 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. - 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
- 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.
- 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. - 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. - 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. - 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. - 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. - 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. - 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.
- 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. - 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. - 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.
- 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.
- 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.
- 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. - 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. - H. Aghasi, M. Hashemi, B.H. Khalaj, “Source Localization through Adaptive Signal Attenuation Model and Time Delay Estimation”, IEEE Conference on Telecommunications (ICT), 2011.