balnahhas

School of Engineering
Office: EME 3263
Email: bayan.alnahhas@ubc.ca


Research Summary

Massive multiple-input multiple-output (mMIMO); cell-free massive MIMO (CF-mMIMO); reconfigurable intelligent surfaces (RIS/STAR-RIS); integrated sensing and communication (ISAC); UAV communication; detection and localization

Courses & teaching
APSC 256 – Numerical Methods
ENGR 360 – Engineering Probability and Statistics
ENGR 362 – Digital Signal Processing
APSC 173 – Engineering Analysis II

Courses & Teaching

APSC 256 – Numerical Methods
ENGR 360 – Engineering Probability and Statistics
ENGR 362 – Digital Signal Processing
APSC 173 – Engineering Analysis II

Biography

Bayan Al Nahhas is a Lecturer in the School of Engineering at UBC Okanagan. She completed her PhD in Electrical Engineering at UBC Okanagan in 2025, her MASc in Electrical Engineering at UBC Okanagan, and her BASc in Electrical and Computer Engineering at Effat University, Jeddah, Saudi Arabia. Her doctoral research focused on reconfigurable intelligent surface (RIS)-aided cell-free massive MIMO systems for UAV and ground-user scenarios. Her research and teaching interests lie in the physical layer of wireless communication systems, spanning RIS and STAR-RIS, integrated sensing and communication (ISAC), and UAV-enabled networks.

Bayan is passionate about teaching and about creating a learning environment where everyone feels they belong and can reach their potential. She is committed to helping her students succeed and finds this the most rewarding part of her work.

Degrees

PhD – Electrical Engineering, University of British Columbia (Okanagan)
MASc – Electrical Engineering, University of British Columbia (Okanagan)
BASc – Electrical and Computer Engineering, Effat University

Research Interests & Projects

RIS-Aided Cell-Free Massive MIMO:
Reconfigurable intelligent surfaces (RIS) reshape the wireless propagation environment by inducing controlled phase shifts, complementing the distributed access points of cell-free massive MIMO to improve coverage and spectral efficiency. This line of research develops beamforming and resource allocation techniques for RIS-aided cell-free networks serving both ground users and UAVs.

STAR-RIS for Integrated Sensing and Communication:
Simultaneously transmitting and reflecting RIS (STAR-RIS) extends conventional RIS by serving users on both sides of the surface. This work explores how STAR-RIS can support joint sensing and downlink communication in UAV-enabled networks, aiming to achieve reliable target tracking alongside high-quality data delivery.

UAV Communications:
UAVs are increasingly used as flexible aerial base stations and relays. This line of research studies how RIS assistance in UAV-enabled systems affects coverage and performance in next-generation wireless networks.

 

Selected Publications & Presentations

Google Scholar/Bayan Al Nahhas

 

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