Source localization through adaptive signal attenuation model and time delay estimation. - Hamidreza Aghasi; Morteza Hashemi; Babak Hossein Khalaj (ICT, 2011)

Delete-and-Conquer: Rateless coding with constrained feedback. - Morteza Hashemi; Ari Trachtenberg; Yuval Cassuto (Allerton, 2013)

Intra-Car Wireless Sensors Data Collection: A Multi-Hop Approach. - Morteza Hashemi; Wei Si; Moshe Laifenfeld; David Starobinski; Ari Trachtenberg (VTC Spring, 2013)

Near real-time rateless coding with a constrained feedback budget. - Morteza Hashemi; Ari Trachtenberg (Allerton, 2014)

Intra-car multihop wireless sensor networking: a case study. - Morteza Hashemi; Wei Si; Moshe Laifenfeld; David Starobinski; Ari Trachtenberg (IEEE Commun. Mag., 2014)

CDP: a coded datagram transport protocol bridging UDP and TCP. - Morteza Hashemi; Ari Trachtenberg (SYSTOR, 2015)

Reducing ADC Sampling Rate with Compressive Sensing. - Morteza Hashemi (CoRR, 2015)

TeaCP: A Toolkit for Evaluation and Analysis of Collection Protocols in Wireless Sensor Networks. - Wei Si; Morteza Hashemi; Liangxiao Xin; David Starobinski; Ari Trachtenberg (IEEE Trans. Netw. Serv. Manag., 2015)

Channel Sensitivity of LIFO-Backpressure: Quirks and Improvements. - Wei Si; David Starobinski; Morteza Hashemi; Moshe Laifenfeld; Ari Trachtenberg (IEEE Trans. Control. Netw. Syst., 2016)

Fountain Codes With Nonuniform Selection Distributions Through Feedback. - Morteza Hashemi; Yuval Cassuto; Ari Trachtenberg (IEEE Trans. Inf. Theory, 2016)

Rate-optimal power and bandwidth allocation in an integrated Sub-6 GHz - Millimeter wave architecture. - Morteza Hashemi; C. Emre Koksal; Ness B. Shroff (ACSSC, 2017)

Hybrid RF-mmWave communications to achieve low latency and high energy efficiency in 5G cellular systems. - Morteza Hashemi; C. Emre Koksal; Ness B. Shroff (WiOpt, 2017)

Energy-Efficient Power and Bandwidth Allocation in an Integrated Sub-6 GHz - Millimeter Wave System. - Morteza Hashemi; C. Emre Koksal; Ness B. Shroff (CoRR, 2017)

Efficient Beam Alignment in Millimeter Wave Systems Using Contextual Bandits. - Morteza Hashemi; Ashutosh Sabharwal; C. Emre Koksal; Ness B. Shroff (INFOCOM, 2018)

Out-of-Band Millimeter Wave Beamforming and Communications to Achieve Low Latency and High Energy Efficiency in 5G Systems. - Morteza Hashemi; C. Emre Koksal; Ness B. Shroff (IEEE Trans. Commun., 2018)

Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. - Navid Naderializadeh; Morteza Hashemi (ACSSC, 2019)

Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling. - Guidan Yao; Morteza Hashemi; Ness B. Shroff (WiOpt, 2019)

Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes. - Luyao Shang; Morteza Hashemi; Taejoon Kim; Erik Perrins (GLOBECOM, 2020)

Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. - Junghoon Kim; Taejoon Kim; Morteza Hashemi; Christopher G. Brinton; David J. Love (INFOCOM, 2020)

A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. - Arman Ghasemi; Amin Shojaeighadikolaei; Kailani R. Jones; Morteza Hashemi; Alexandru G. Bardas; Reza Ahmadi (SmartGridComm, 2020)

Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning. - Amin Shojaeighadikolaei; Arman Ghasemi; Kailani R. Jones; Alexandru G. Bardas; Morteza Hashemi; Reza Ahmadi (CoRR, 2020)

Efficient User Localization in Wireless Networks Using Active Deep Learning. - Chuan Sun; Morteza Hashemi (ACSCC, 2021)

On the Benefits of Multi-Hop Communication for Indoor 60 GHz Wireless Networks. - Chanaka Samarathunga; Mohamed Abouelseoud; Kazuyuki Sakoda; Morteza Hashemi (CCNC, 2021)

Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning. - Chuan Sun; Navid Naderializadeh; Morteza Hashemi (GLOBECOM (Workshops), 2021)

Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning. - Babak Badnava; Taejoon Kim; Kenny Cheung; Zaheer Ali; Morteza Hashemi (SEC, 2021)

A preliminary assessment of midhaul links at 140 GHz using ray-tracing. - Sravan Reddy Chintareddy; Marco Mezzavilla; Sundeep Rangan; Morteza Hashemi (mmNets, 2021)

OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds. - Mohammad M. R. Lunar; Jianxin Sun 001; John Wensowitch; Michael Fay; Halit Bugra Tulay; Venkat Sai Suman Lamba Karanam; Brian Qiu; Deepak Nadig; Garhan Attebury; Hongfeng Yu 001; Joseph Camp; Can Emre Koksal; et al. (WiNTECH, 2021)

Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks. - Chanaka Samarathunga; Mohamed Abouelseoud; Kazuyuki Sakoda; Morteza Hashemi (VTC Spring, 2021)

QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. - Babak Badnava; Sravan Reddy Chintareddy; Morteza Hashemi (ISIT, 2022)

Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework. - Amin Shojaeighadikolaei; Arman Ghasemi; Kailani R. Jones; Yousif Dafalla; Alexandru G. Bardas; Reza Ahmadi; Morteza Hashemi (CoRR, 2022)

Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. - Junghoon Kim; Taejoon Kim; Morteza Hashemi; David J. Love; Christopher G. Brinton (IEEE/ACM Trans. Netw., 2022)

Exploring the Interplay of Interference and Queues in Unlicensed Spectrum Bands for UAV Networks. - Masoud Ghazikor; Keenan Roach; Kenny Cheung; Morteza Hashemi (ACSSC, 2023)

An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control. - Amin Shojaeighadikolaei; Morteza Hashemi (Allerton, 2023)

Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems. - Babak Badnava; Keenan Roach; Kenny Cheung; Morteza Hashemi; Ness B. Shroff (GLOBECOM, 2023)

Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems. - Sravan Reddy Chintareddy; Keenan Roach; Kenny Cheung; Morteza Hashemi (GLOBECOM, 2023)

Harnessing the Power of Transformer Learning with Long-Term Memory for Renewable Energy Forecasting. - Arman Ghasemi; Morteza Hashemi (VCC, 2023)

Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach. - Zhou Ni; Morteza Hashemi (VCC, 2023)

Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting. - Arman Ghasemi; Amin Shojaeighadikolaei; Morteza Hashemi (CoRR, 2023)

Delay-Optimal Scheduling for Integrated mmWave - Sub-6 GHz Systems With Markovian Blockage Model. - Guidan Yao; Morteza Hashemi; Rahul Singh 001; Ness B. Shroff (IEEE Trans. Mob. Comput., 2023)

Large scale datasets for THz based midhaul link evaluation between CU and DU. - Sravan Reddy Chintareddy; Marco Mezzavilla; Sundeep Rangan; Morteza Hashemi (IEEE DataPort, 2023)

Joint Communication and Computation Resource Allocation for Emerging mmWave Multi-User 3D Video Streaming Systems. - Babak Badnava; Jacob Chakareski; Morteza Hashemi (GLOBECOM, 2024)

Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks. - Ziru Chen; Zhou Ni; Peiyuan Guan; Lu Wang; Lin X. Cai; Morteza Hashemi; Zongzhi Li (GLOBECOM, 2024)

Interference-Aware Queuing Analysis for Distributed Transmission Control in UAV Networks. - Masoud Ghazikor; Keenan Roach; Kenny Cheung; Morteza Hashemi (ICC, 2024)

Semantic-Aware and Goal-Oriented Communications for Object Detection in Wireless End-to-End Image Transmission. - Fatemeh Zahra Safaeipour; Morteza Hashemi (ICNC, 2024)

Model-free Resilient Controller Design based on Incentive Feedback Stackelberg Game and Q-learning. - Jiajun Shen; Fengjun Li; Morteza Hashemi; Huazhen Fang (ICPS, 2024)

Multi-Task Decision-Making for Multi-User $360^{ circ}$ Video Processing over Wireless Networks. - Babak Badnava; Jacob Chakareski; Morteza Hashemi (MIPR, 2024)

Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks. - Amin Shojaeighadikolaei; Zsolt Talata; Morteza Hashemi (CoRR, 2024)

Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems. - Sravan Reddy Chintareddy; Keenan Roach; Kenny Cheung; Morteza Hashemi (CoRR, 2024)

Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks. - Babak Badnava; Jacob Chakareski; Morteza Hashemi (CoRR, 2024)

Channel-Aware Distributed Transmission Control and Video Streaming in UAV Networks. - Masoud Ghazikor; Keenan Roach; Kenny Cheung; Morteza Hashemi (CoRR, 2024)

Combating Uncertainties in Smart Grid Decision Networks: Multiagent Reinforcement Learning With Imperfect State Information. - Arman Ghasemi; Amin Shojaeighadikolaei; Morteza Hashemi (IEEE Internet Things J., 2024)

Dual State-space Fidelity Blade (D-STAB): A Novel Stealthy Cyber-physical Attack Paradigm. - Jiajun Shen; Hao Tu; Fengjun Li; Morteza Hashemi; Di Wu; Huazhen Fang (ACC, 2025)

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data. - Zhou Ni; Masoud Ghazikor; Morteza Hashemi (CoRR, 2025)

Learning Driven Elastic Task Multi-Connectivity Immersive Computing Systems. - Babak Badnava; Jacob Chakareski; Morteza Hashemi (CoRR, 2025)

Neural-Enhanced Rate Adaptation and Computation Distribution for Emerging mmWave Multi-User 3D Video Streaming Systems. - Babak Badnava; Jacob Chakareski; Morteza Hashemi (CoRR, 2025)

Privacy-Preserving Quantized Federated Learning with Diverse Precision. - Dang Qua Nguyen; Morteza Hashemi; Erik Perrins; Sergiy A. Vorobyov; David J. Love; Taejoon Kim (CoRR, 2025)