Selected Publications


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

  • Yao, G., Hashemi, M., Singh, R., & Shroff, N. B. (2022). Delay-Optimal Scheduling for Integrated mmWave Sub-6 GHz Systems with Markovian Blockage ModelIEEE Transactions on Mobile Computing.

  • Lunar, M. M., Sun, J., Wensowitch, J., Fay, M., Tulay, H. B., Karanam, V. S. S. L., ... & Vuran, M. C. (2022, January). 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.

  • Kim, J., Kim, T., Hashemi, M., Love, D. J., & Brinton, C. G. (2021). Minimum overhead beamforming and resource allocation in D2D edge networksIEEE/ACM Transactions on Networking.

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

  • Sun, C., NaderiAlizadeh, N., & Hashemi, M. (2021, December). Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning. In 2021 IEEE Globecom Workshops (GC Wkshps).

  • Shojaeighadikolaei, A., Ghasemi, A., Bardas, A. G., Ahmadi, R., & Hashemi, M. (2021, November). Weather-Aware Data-Driven Microgrid Energy Management Using Deep Reinforcement Learning. In 2021 North American Power Symposium (NAPS).

  • Chintareddy, S. R., Mezzavilla, M., Rangan, S., & Hashemi, M. (2021, October). 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.

  • Samarathunga, C., Abouelseoud, M., Sakoda, K., & Hashemi, M. (2021, April). Multi-hop routing with proactive route refinement for 60 ghz millimeter-wave networks. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring).

  • Shojaeighadikolaei, A., Ghasemi, A., Jones, K. R., Bardas, A. G., Hashemi, M., & Ahmadi, R. (2021, April). Demand responsive dynamic pricing framework for prosumer dominated microgrids using multiagent reinforcement learning. In 2020 52nd North American Power Symposium (NAPS).

  • Samarathunga, C., Abouelseoud, M., Sakoda, K., & Hashemi, M. (2021, January). On the Benefits of Multi-hop Communication for Indoor 60 GHz Wireless Networks. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference.

  • Sun, C., & Hashemi, M. (2021). Efficient User Localization in Wireless Networks Using Active Deep Learning. In 2021 55th Asilomar Conference on Signals, Systems, and Computers.

  • Hashemi, M. (2020). U.S. Patent No. 10,869,256. Washington, DC: U.S. Patent and Trademark Office.

  • Hashemi, M. (2020). U.S. Patent No10,849,048. Washington, DC: U.S. Patent and Trademark Office.

  • Ghasemi, A., Shojaeighadikolaei, A., Jones, K., Hashemi, M., Bardas, A. G., & Ahmadi, R. (2020, November). A multi-agent deep reinforcement learning approach for a distributed energy marketplace in smart grids. In 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

  • Hashemi, M. (2020). U.S. Patent No. 10,798,636. Washington, DC: U.S. Patent and Trademark Office.

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

  • Kim, J., Kim, T., Hashemi, M., Brinton, C., Love, D., Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing, To appear in INFOCOM 2020. 

  • Naderializadeh, N., & Hashemi, M. (2019). Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. In Asilomar Conference on Signals, Systems, and Computers

  • Yao, G., Hashemi, M., & Shroff, N. B. (2019). Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling. In 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt)

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

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

  • Hashemi, M., Koksal, C. E., & Shroff, N. B. (2017). Hybrid RF/mmWave Beamforming and Communications to Achieve Low Latency and High Energy Efficiency in 5G Cellular Systems. In 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

  • Hashemi, M., Koksal, C. E., & Shroff, N. B. (2017). Rate-Optimal Power and Bandwidth Allocation in an Integrated Sub-6 GHz Millimeter Wave Architecture. In Asilomar Conference on Signals, Systems, and Computers

  • Hashemi, M., Cassuto, Y., & Trachtenberg, A. (2016). Fountain Codes with Nonuniform Selection Distributions through Feedback. IEEE Transactions on Information Theory

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

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

  • Si, W., Starobinski, D., Hashemi, M., & Trachtenberg, A. (2015). Delay of LIFO Back­-pressure: Quirks and ImprovementsIEEE Transactions on Control of Network Systems

  • Hashemi, M., & Trachtenberg, A. (2014). Near Real-time Rateless Coding with Con­strained Feedback Budget. In Proceedings of the 52nd Annual Allerton Confer­ence on Communication, Control, and Computing

  • Hashemi, M., Si, W., Laifenfeld, M., Starobinski, D., & Trachtenberg, A. (2014). Intra-Car Multi-hop Wireless Sensor Networking: A Case Study. IEEE Communi­cations Magazine

  • Hashemi, M., Cassuto, Y., & Trachtenberg, A. (2013). Delete-and-Conquer: Rateless Coding with Feedback. In Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing.

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

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