Research Interests

  • Wireless communication and networking
  • Distributed/on-device machine learning (ML)
  • Knowledge-aided ML for wireless communication and networking
  • Resource optimization
  • Edge computing/caching
  • Vehicle-to-everything (V2X) communication

Publications (Google Scholar Profile)

Journal Publications:

In Preparation : ** Title and/or author list/order are subject to change ** 

  1. R. Boamah and F. Pervej , **Accurate Generation of Double-Directional Wireless Channels with Statistical-Aided Machine Learning,** (in preparation), to be submitted to suitable IEEE Transactions, 2026.
  2. F. Pervej et al., "**Efficient Personalized Hierarchical Split Federated Learning in Wireless Networks**, " to be submitted to suitable IEEE Transactions, 2026.
  3. F. Pervej et al. , "** Computation- and Communication-Efficient Federated Learning in UAV Networks** ," ( in progress ) expected to be submitted to suitable IEEE Transactions, 202 6.

Under Review:

  1. F. Pervej, P Pratik, K. Manjunatha, P. Shamain, and A. F. Molisch, " Double-Directional Wireless Channel Generation using Statistics-Informed Machine Learning , " under review for possible publication in IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation (JSTEAP) , 2025.
  2. Y. Zhang, F. Pervej , and A. F. Molisch, “ Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution ,” under review , 202 5 .
  3. 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 , 2025.

Published/Accepted:

  1. A. Rizwan, D-J. Han, F. Pervej , C. G. Brinton, A. F. Molisch, and M. Choi, “ Efficient Split Learning with Overlapping Areas: Handling Distribution Shift in Multi-Cell Networks ,” to appear in IEEE/ACM Transactions on Networking, 202 6, doi 10.1109/TON.2026.3654381 .

  2. 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 .

  3. 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 202 4, doi: 10.1109/TWC.2024.3382093

  4. 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 .

  5. 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, 202 3, doi: 10.1109/TVT.2023.3300954.

Selected Conference Publications:

Under Review:

Published/Accepted:

  1. 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.
  2. 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.
  3. 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.
  4. M. F. Pervej and A. F. Molisch, " Personalized Hierarchical Split Federated Learning in Wireless Networks , " ( accepted) in Proc. IEEE ICC, Montreal, Canada, 2025.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.

3GPP Contributions:

  1. 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 ]
  2. 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 ]
  3. 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 ]

Patent:

  1. 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.