Research Team





Ph.D. Candidates

Sara Norouzi

Sara Norouzi

Sara Norouzi received the B.Sc. degree in Electronics Engineering from the Shiraz University of Technology, Shiraz, Iran, in 2012, the M.Sc. degree in Electrical and Computer Engineering from the Shiraz University, Shiraz, Iran, in 2016. From 2016 to 2017, she was at Iranian Huawei Technologies Co., Tehran, Iran, where she worked as an RF engineer. She is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, McGill University, QC, Canada. Her research interests include signal processing, wireless communications, artificial intelligence, and optimization. She was a recipient of the McGill Engineering Doctoral Award.

sara.norouziii@gmail.com

Sree Das

Sree Das

Sree Krishna Das (Graduate Student Member, IEEE) received his B.Sc. degree in Electrical and Electronic Engineering (EEE) from the Metropolitan University, Sylhet, Bangladesh, and M.Sc. degree in Electrical, Electronic, and Communication Engineering from the Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, Bangladesh. He is currently pursuing his Ph.D. in Electrical Engineering from McGill University, Canada, since 2023. He worked as a Lecturer in the Department of EEE, World University of Bangladesh, Dhaka, Bangladesh, from 2017 to 2020. His research interests include 6G cellular networks, network architecture, radio resource management, non-orthogonal multiple access (NOMA) communications, semantic communications, physical layer security, IoT and M2M communications, reconfigurable intelligent surfaces (RISs), artificial intelligence (AI) for future wireless networks, and federated learning for wireless communications. He has served as a TPC member and reviewer in many international journals and conferences. He received the second-best paper award in IEEE ICEEICT 2021.

skshnaeee@gmail.com

Zahra Alezavizadeh

Zahra Alezavizadeh

I received my bacholor’s degree from Isfahan University of Technology, Iran, in 2015 and my master’s from Dalhousie University, Canada, in 2017. Then, I worked as a Project Scientist (in underwater acoustic signal processing) at Jasco Applied Sciences in Halifax, for 4 years and after that I started my PhD in 2022 at McGill University.

My research interests lie in the general areas of signal processing, wireless communications, and machine learning. My current research focuses on hybrid beamforming for massive MIMO communications in terahertz band.

zahra.alavizadeh@mail.mcgill.ca

Toluwaleke Olutayou

Toluwaleke Olutayou

Degree: I obtained my B.Sc. in Electrical Engineering at the University of Central Florida in 2019. Then, I worked as a research assistant at Boston University before coming to McGill and beginning my PhD program in 2020.

Research Interests: Statistical signal processing, 5/6G Wireless Communications, Massive MIMO, Machine Learning.

Current research: Model-based deep learning for symbol detection and decoding in massive MIMO systems. Generative machine learning for detection in MIMO systems without knowledge of noise statistics. Adaptive machine learning based symbol detectors for time-varying massive MIMO systems.

toluwaleke.olutayo@mail.mcgill.ca





Master's Students

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