Team

PI: Dr. Ferdous Pervej

PhD Students

Iman Pourmohammadi Shahrbabaki

Iman Pourmohammadi Shahrbabaki (Fall 2025 - )

Iman received the B.Sc. degree in Electrical Engineering, specializing in telecommunications, from Shahid Bahonar University of Kerman, Iran, the M.Sc. degree in Telecommunication Systems from the University of Akron, Ohio, and is currently pursuing his Ph.D. in the Department of Electrical and Computer Engineering at Utah State University, Logan, Utah. His current research interests include wireless communication, distributed machine learning, and applications of machine learning for wireless communication and information theory.

Richmond Boamah

Richmond Boamah (Fall 2025 - )

Richmond received the B.Sc. degree in Electrical and Electronics Engineering from the University of Mines and Technology, Ghana, and the M.S. degree in Electrical and Electronics Engineering from Gazi University, Turkey, under the Turkish Government Scholarship. He is currently a PhD student in the Department of Electrical and Computer Engineering at Utah State University. His research interests are machine learning and wireless communications.

Master’s and Undergraduate Students

Current master’s and undergrads at USU are welcome to work with us. We will have hourly-paid positions for students with the skills needed to help our group build prototypes and conduct innovative research.

Prospective Students:

We are always on the lookout for highly motivated graduate students. The WiN-ML group is interested in the holistic design of general distributed ML algorithms, their deployment in wireless networks, wireless communication and networking, and the development of physics-aided machine learning solutions for next-generation wireless communication and networks. The team usually looks for students who will, ideally, work in one of the following two thrusts:

  • Thrust-1 : fundamental research problems of privacy-preserving distributed machine learning in wireless networks
  • Thrust-2 : fundamental research problems of 6G wireless networks using ML and optimization

Note – If you are interested in working with us, please feel free to send an e-mail with "Prospective Student: Program Name, Starting Semester" in the subject line and with your CV, transcripts, and up to 3 representative publications at 📧 ferdous.pervej@usu.edu, clearly indicating your research interest(s) and whether you are looking for funding (in terms of graduate assistantship) from the group/USU. While Prof. Pervej usually tries to read e-mails from prospective students, he may not be able to reply to all of them due to time constraints. Before writing to Prof. Pervej, please check the following requirements:

Minimum Requirements:

  • A bachelor’s degree in electrical/communication/telecommunication/computer engineering or any closely related fields
  • Willingness to learn and grow
  • Solid foundations in linear algebra and stochastic process
  • Basic understanding of wireless communication and willingness to dive deeper
  • Basic understanding of optimization and willingness to dive deeper
  • Basic understanding of different classical machine learning algorithms and willingness to dive deeper
  • Good at Python programming and have experience with deep learning libraries like PyTorch and/or Tensorflow
  • Proven track record: no prior publication is necessary as long as your transcripts and CV speak for yourself

Preferred Qualifications:

  • A prior MS degree in electrical/communication/telecommunication/computer engineering or any closely related fields
  • Good knowledge of wireless communication
  • Good knowledge of optimization
  • Good knowledge of machine learning
  • Prior experience with developer kits (e.g., NVIDIA Jetson developer kits)