Research Interests
Research Interests
Wireless networks for distributed/on-device ML
ML for wireless networks
Foundation models for wireless
Radio access networks
Edge computing/caching
Vehicle-to-everything (V2X) communication
Wireless networks for distributed/on-device ML
ML for wireless networks
Foundation models for wireless
Radio access networks
Edge computing/caching
Vehicle-to-everything (V2X) communication
In Preparation : **Title and/or author list/order are subject to change**
M. F. Pervej et al., "**Efficient Personalized Hierarchical Split Federated Learning in Wireless Networks**," to be submitted to suitable IEEE Transactions, 2025.
M. F. Pervej, P Pratik, K. Manjunatha, P. Shamain, and A. F. Molisch, "**Double Directional Wireless Channel Generation: A Statistics-Informed Generative Approach**," to be submitted to suitable IEEE Transactions, 2025.
M. F. Pervej et al., "**Computation- and Communication-Efficient Federated Learning in UAV Networks**," (in progress) expected to be submitted to suitable IEEE Transactions, 2025.
Under Review:
Y. Zhang, M. F. Pervej, and A. F. Molisch, “Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution ,” under review for possible publication in IEEE Transactions on Communications (TCOM), Aug. 2025.
A. Rizwan, D-J. Han, M. F. Pervej, C. G. Brinton, A. F. Molisch, and M. Choi, “Efficient Split Learning with Overlapping Areas: Handling Distribution Shift in Multi-Cell Networks,” under review for possible publication in IEEE/ACM Transactions on Networking, 2025.
M. F. Pervej, M. Choi, and A. F. Molisch, "Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks," under review for possible publication in IEEE Transactions on Communications (TCOM), Aug. 2024.
Published/Accepted:
M. F. Pervej and A. F. Molisch, 'Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks,' accepted for publication in IEEE Transactions on Wireless Communications (TWC), vol. 24, no. 1, pp. 165-180, Jan. 2025, doi:10.1109/TWC.2024.3489578.
M. F. Pervej, R. Jin, and H. Dai, "Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity," in IEEE Transactions on Wireless Communications (TWC), April 2024, doi: 10.1109/TWC.2024.3382093
M. F. Pervej, R. Jin, and H. Dai, "Resource Constrained Federated Learning with Highly Mobile Vehicular Clients," in IEEE Journal on Selected Areas in Communications (JSAC), vol. 41, no. 6, pp. 1825-1844, June 2023, doi: 10.1109/JSAC.2023.3273700.
M. F. Pervej, R. Jin, S.-C. Lin, and H. Dai, "Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands,'' in IEEE Transactions on Vehicular Technology (TVT), vol. 73, no 1, pp. 1129 - 1145, 2023, doi: 10.1109/TVT.2023.3300954.
Under Review:
Published/Accepted:
M. F. Pervej, R. Jin, M. M. U. Chowdhury, S. Singh, I. Guvenç, and H Dai, "Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles", accepted for publication in IEEE Military Communications Conference, 2025.
Y. Zhang, M. F. Pervej and A. F. Molisch, "Revenue Optimization in Video Caching Networks with Privacy-Preserving Demand Predictions," accepted for publication in IEEE Military Communications Conference, 2025.
M. F. Pervej, P Pratik, K. Manjunatha, P. Shamain, and A. F. Molisch, "Double Directional Wireless Channel Generation: A Statistics-Informed Generative Approach," (accepted) in Proc. IEEE ICC, Montreal, Canada, 2025.
M. F. Pervej and A. F. Molisch, "Personalized Hierarchical Split Federated Learning in Wireless Networks," (accepted) in Proc. IEEE ICC, Montreal, Canada, 2025.
M. F. Pervej and A. F. Molisch, 'Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks,' in Proc. of IEEE ICC, Denver, CO, 2024.
M. F. Pervej, J. Guo, K. J. Kim, K. Parsons, P. Orlik, S. D. Cairano, M. Menner, K. Berntorp, Y. Nagai, and H. Dai, "Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles,'' in Proc. of 33rd IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, June 2022.
M. F. Pervej, S. -C. Lin, "Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach," in Proc. of IEEE VTC2020-Fall, Victoria, B.C., Canada, October 2020.
M. F. Pervej, S. -C. Lin, “Dynamic Power Allocation and Virtual Cell Formation for Throughput-Optimal Vehicular Edge Networks in Highway Transportation,” in Proc. of IEEE ICC 2020 Workshops, June 2020.
M. F. Pervej, L. T. Tan, Rose Qingyang Hu, ''User Preference Learning Aided Collaborative Edge Caching for Small Cell Networks," in Proc. of IEEE Globecom, Taipei, Taiwan, December 2020.
M. F. Pervej, L. T. Tan, Rose Qingyang Hu, "Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks," in Proc. of IEEE Globecom, Taipei, Taiwan, December 2020.
Co-authored TDoc R1-2210843, "Continued discussion on evaluation of AI/ML for beam management," [Online: https://www.3gpp.org/ftp/TSG_RAN/WG1_RL1/TSGR1_111/Docs/R1-2210843.zip]
Co-authored TDoc R1-2208368, "Continued discussion on evaluation of AI/ML for beam management," [Online: https://www.3gpp.org/ftp/TSG_RAN/WG1_RL1/TSGR1_110b-e/Docs/R1-2208368.zip]
Co-authored TDoc R1-2205753, "Continued discussion on evaluation of AI/ML for beam management," [Online: https://www.3gpp.org/ftp/TSG_RAN/WG1_RL1/TSGR1_110/Docs/R1-2205753.zip]
J. Guo, F. Pervej, K.-J. Kim, K. Parsons, P. Orlik, S. D. Cairano, M. Menner, and K. Berntorp, "Communication and Computation Aware Distributed Machine Learning for Vehicular Networks," U.S. Patent 20230269766A1, July 2025.
Personalized Hierarchical Split Federated Learning in Wireless Networks @ IEEE ICC, Montreal, Quebec, Canada, June 2025
Double Directional Wireless Channel Generation: A Statistics-Informed Generative Approach @ IEEE ICC, Montreal, Quebec, Canada, June 2025
Efficient Machine Learning and Resource-Constrained Wireless Networks for Connected World @ Utah State University, Logan, UT, Feb. 2025
Machine Learning for Wireless Systems: Overview and Case Study of Propagation Channel Modeling (joint presentation with A. F. Molisch) @ Amazon Lab126, Amazon Inc. (virtual), Dec. 2024
Foundation Models for Wireless Channel (joint presentation with A. F. Molisch) @ Amazon Lab126, Amazon Inc. (virtual), Aug. 2024
Resource-aware Hierarchical Federated Learning for Video Caching in Wireless Networks @ IEEE ICC, Denver, CO, USA, June 2024
Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles @ IEEE Intel. Vehicles Symp., Aachen, Germany (virtual), June 2022
Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach @ IEEE VTC2020-Fall, Victoria, BC, Canada (virtual), Dec. 2020
Dynamic Power Allocation and Virtual Cell Formation for Throughput-Optimal Vehicular Edge Networks in Highway Transportation @ IEEE ICC Workshops, Dublin, Ireland (virtual), June 2020
User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks @ IEEE Globecom, Taipei, Taiwan (virtual), Dec. 2020
Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks @ IEEE Globecom, Taipei, Taiwan (virtual), Dec. 2020
Co-mentoring one female PhD student in the WiDeS group at the University of Southern California with Prof. Andy Molisch (Aug. 2023 - Present)
Mentored one male first-year undergrad student at USC through the Center for Undergraduate Research in Viterbi Engineering (CURVE) program (Spring 2024)
Mentored one male undergrad student from Tsinghua University through the Global Education, Academics, and Research Skills (GEARS) program of NC State University (Summer 2022)
Mentored one male undergrad student from Ohio State University (KGSP Scholarship Program) through the GEARS program of NC State University (Summer 2021)
Runner-up of the GEARS' 2021 Summer Virtual Poster Competition