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Dr. Mohammed Saif

Mohammed smiling protrait
Assistant professor
BSc, MASc, PhD
DepartmentElectrical, Computer and Biomedical Engineering
Areas of ExpertiseReconfigurable Intelligent Surfaces, 6D Movable and Intelligent Antennas, UAV Communications, ML for Wireless Communications, Federated Learning, Digital Twin
EPH 417
416-979-5000 ext. 554564

“I’m dedicated to making connectivity reliable, resilient, and scalable in the 6G era.”

Dr. Mohammed Saif is a professor at Toronto Metropolitan University’s (TMU) Department of Electrical, Computer, and Biomedical Engineering, whose research is inspired by keeping people connected when wireless conditions are at their worst. To ensure connectivity in a 6G wireless world, Dr. Saif is designing resilient, intelligent systems that integrate emerging radio technologies with learning-driven networks. At his TMU Wireless Networks & Intelligence Lab (WirNet Lab), his team’s approach blends new physics-layer tools – reconfigurable intelligent surfaces (RISs), Moving Antennas (MAs), and Unmanned Aerial Vehicles (UAVs) – with link-layer optimization. 

Dr. Saif’s work has been widely published in major IEEE transactions, including presentations at international conferences. He’s also an IEEE member and a reviewer for several IEEE publications and flagship conferences. Before joining TMU, Dr. Saif was a NSERC postdoctoral research and teaching Fellow in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, and a postdoctoral research fellow in the School of Engineering at the University of British Columbia.

Availability to Supervise Students

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Research Highlights

RIS-assisted Systems for Network Connectivity

Dr. Saif has published extensively on innovative approaches for the integration of RISs with UAV communications. His WirNet Lab team is also developing an intelligent RIS and MA beamforming and resource-efficient framework that mitigates interference from dense transmitters and maximizes network connectivity in 6G environments. 

Federated Learning for Wireless Communications

An expert in wireless vehicular communications, Dr. Saif has worked with interdisciplinary researchers to explore the use of decentralized federated learning and graph theory optimization to optimize federated learning time and consumed energy of non-Terrestrial wireless systems, delivering superior performance to past literature. 

MIMO Radar Signal Processing

While radar technology offers robust connectivity for vehicles, its angular resolution is dependent on the radar antenna’s size, which poses impracticalities. To address this, Dr. Saif is working with industry and academic researchers to develop binary optimization algorithms to minimize the mutual coherence, placing radar antenna elements efficiently with minimal peak-sidelobes.

Additional Info

  • M. Saif, Mohammad Javad-Kalbasi, and Shahrokh Valaee,  "Uni-polarized RIS beamforming for improving connectivity  of multi-RIS-assisted D2D networks'',   IEEE Internet of Things Journal, accepted, 2025.
  • Adnan Hamida, M. Saif, Jun Li, and Shahrokh Valaee, "Target localization performance of binary optimized antenna placement using mutual coherence minimization'', IEEE Transactions on Antennas and Propagation, accepted, 2025.
  • Adnan Hamida, M. Saif, Jun Li, and  Shahrokh Valaee,  "Convolved thinned antenna arrays for close target separation'', 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Surrey, United Kingdom, 2025, pp. 1-5.
  • Adnan Hamida, M. Saif, Jun Li, and  Shahrokh Valaee,  "Antenna placement in compressive sensing radar using binary optimization'', 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM), Corvallis, OR, USA, 2024, pp. 1-5.
  • M. Saif and Shahrokh  Valaee,  "RIS alignment via virtual partitioning for resilient multi-RIS-assisted UAV communications'',   IEEE Trans. on Communications, vol. 73, no. 8, pp. 6764-6779, Aug. 2025.
  • Hesameddin Mokhtarzadeh, M. Saif, M. J. Hossain, and Julian Cheng,  "Smart helpers-aided F-RANs: Improving delay and reducing fronthaul load'',   IEEE Trans. on Communications, vol. 73, no. 8, pp. 6095-6108, Aug. 2025.
  • M. Saif, Mohammad Javad-Kalbasi, and Shahrokh Valaee,  "Effectiveness of reconfigurable intelligent surfaces to enhance connectivity in UAV networks'',   IEEE Trans. Wireless Communications, vol. 23, no. 12, pp. 18757-18773, Dec. 2024.
  • M. Saif, M. Z. Hassan, and M. J. Hossain, "Decentralized aggregation for energy-efficient federated learning in mmWave aerial-terrestrial integrated networks'',  IEEE Trans. on Machine Learning in Communications and Networking, vol. 2, pp. 1283-1304, 2024.
  • M. Saif, Mohanad Obeed, M. J. Hossain, and Anas Chaaban, "Decentralized aggregation for energy-efficient federated learning via D2D communications,'' in IEEE Trans. on Communications, vol. 71, no. 6, pp. 3333-3351, Jun. 2023. 
  • M. Saif and M. J. Hossain, "Coordinated scheduling and decentralized federated learning using conflict clustering graphs in fog-assisted IoD networks," in IEEE Trans. on Vehicular Technology, vol. 72, no. 3, pp. 3455-3472, Mar. 2023.
  • M. Saif, M. Z. Hassan, and M. J. Hossain,  "Task offloading optimization in  NOMA-enabled dual-hop mobile edge computing system using  conflict graph'',   IEEE Trans. Wireless Communications, vol. 22, no. 2, pp. 761-777, Feb. 2023.
  • M. Saif, M. Z. Hassan, and M. J. Hossain,  "Energy efficient resource allocation for federated learning in NOMA enabled and relay-assisted internet of things networks'',   IEEE Internet of Things Journal, vol. 9, no. 24, pp. 24736-24753, 15 Dec.15, 2022.
  • M. Saif, M. Z. Hassan, and M. J. Hossain,  "A joint reinforcement-learning and cross-layer network codes for sum-rate maximization in Fog-RAN with D2D communications'',   IEEE Trans. Communications, vol. 70, no. 7, pp. 4400-4416, Jul. 2022.
  • M. Saif,  A. Douik, S. Sorour,  and M. J. Hossain, "Throughput maximization in cloud-radio access networks using cross-layer network coding,''   IEEE Trans. Mobile Computing, vol. 21, no. 2, pp. 696-711, 1 Feb. 2022.
  • M. Saif and M. J. Hossain, "Completion time minimization in Fog-RANs using D2D communications and rate-aware network coding'',   IEEE Trans. Wireless Communications, vol. 20, no. 6, pp. 3831-3846, Jun. 2021.

  • NSERC PDF Selection Committee Member for Electrical Engineering @ NSERC, 2024-2026
  • Postdoctoral Fellow Representative} @UBC: Engineering Graduate Students Society (EGSS), 2021
  • Technical Program Committee Membership
  • IoT workshop, 2020 - 2021
  • IEEE VTC2024-Spring: Singapore, Track: Radio access technology and heterogeneous networks
  • IEEE VTC2023-Fall: Hong Kong, Track: Machine learning and AI for communications
  • Technical Program Committee (TPC) for the IEEE ICC 2024 Workshop on Ultra high data rate enabled next Generation HyperReliable and Low-Latency Communications for futuristic 6G Networks
  • Reviewer IEEE Trans. Commun., IEEE Trans. on Wireless Commun., IEEE Trans. Mobile Computing, IEEE Trans. Veh. Tech., IEEE Trans. on Network and Service Management, IEEE Trans. on Parallel and Distributed Systems, IEEE Commun. Letters, and many IEEE flagship conferences
    
     

NSERC PDF Fellowship 2023 (ranked 4th in Electrical Engineering group across Canada)  

Education

Year

University

Degree

2005-2010

Taiz University

B.Eng. in Computer and Communications Engineering

2013-2016

King Fahd University of Petroleum and Minerals (KFUPM)

M.Sc. in Electrical Engineering

2017-2020

University of British Columbia (UBC)

Doctor of Philosophy (PhD) in  Electrical Engineering

Courses

Course Code

Course Title 

MTE501

Signals and Systems for Mechatronics Eng
Available to Supervise Students
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