Wireless Networking and Machine Learning (WiN-ML)

The Wireless Networking and Machine Learning (WiN-ML) group at Utah State University is led by PI Prof. Pervej. Our primary focus areas are

• Next-generation wireless communication and networking
• Distributed machine learning (ML) and optimization
• Knowledge-aided ML for wireless communication and networking

Recent News

• December 25: 🤞🤞 Our recent work, "Double-Directional Wireless Channel Generation using Statistics-Informed Machine Learning," has been submitted for possible publication in IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation (JSTEAP)
• November 25: 📣📣 We have an opening: a fully funded Ph.D. position to work on distributed machine learning. If you are interested, please check the details here: Opening
• Aug 2025: 🎉🎉 Two of our recent works has been accepted for publication in IEEE Military Communications Conference (MILCOM) 2025
  1. Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles
  2. Revenue Optimization in Video Caching Networks with Privacy-Preserving Demand Predictions
• Aug 2025: 🤞🤞 Our recent work, "Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution" is submitted to IEEE Transactions on Communications (TCOM) for possible publication
• May 2025: I will serve as an advisory technical program committee (TPC) member at the IEEE International Conference on Computer Communication (INFOCOM) 2026, Tokyo, Japan. Consider submitting your best work; Abstract Due: 24 July 2025; Full Paper Due: 31 July 2025
• May 2025: 🤞🤞 The following recent works have been submitted to IEEE MILCOM 2025 for possible publications
  1. Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles
  2. Revenue Optimization in Video Caching Networks with Privacy-Preserving Demand Predictions
• Mar 2025: 📣📣 I will join the Department of Electrical and Computer Engineering at Utah State University, Logan, UT, as a tenure-track Assistant Professor in August 2025 🎉🎉
• Jan 2025: 🎉🎉 Our recent work, "Double Directional Wireless Channel Generation: A Statistics-Informed Generative Approach," has been accepted for publications in the IEEE International Conference on Communications (ICC), Montreal, Canada, June 2025 🎉🎉
• Jan 2025: 🎉🎉 Our recent work, "Personalized Hierarchical Split Federated Learning in Wireless Networks," has been accepted for publications in the IEEE International Conference on Communications (ICC), Montreal, Canada, June 2025 🎉🎉