I build and teach AI and cloud-native systems. My work is backed by a PhD in Computer Engineering, published research, and years as a Professor teaching real-time and cloud-native systems.
Research
At Carleton University, my Ph.D. tackled orchestration and resource provisioning in 5G/6G networks, using optimization and deep reinforcement learning for VNF placement and SFC planning. Earlier work spanned biomedical signals, photonics, and intelligent transport, including real-time rPPG heart-rate monitoring for driverless car safety and low-cost health systems.
Deep RL for Online/Offline VNF Placement
Fragmentation-Aware Resource Provisioning
SFC Planning & Feasibility Restoration
Fast Resource Allocation for VNF Chains
Biomedical Signal Processing & Photonics
Publications
Awards & Honors
2022
Queen Elizabeth II Graduate Scholarship
QEII-GSST, Ontario
2021
Ontario Graduate Scholarship
OGS, Ontario
2020
Dr. Roger Kaye Memorial Scholarship
Carleton University
2019-24
Research Assistant Scholarship
Carleton University
2023
IEEE ICC Student Travel Grant
IEEE Communications Society
2017-18
Erasmus+ Scholarship
European Union
2009-14
Academic Excellence Scholarship
AAST, Egypt
Service
Technical Program Committee
- IEEE International Conference on Communications (ICC)
- IEEE International Mediterranean Conference on Communications and Networking (MeditCom)
Journal Reviewer
- Computer Networks
- Neurocomputing
- Journal of Cloud Computing
- Journal of Electrical Engineering