Ramy Mohamed

Ph.D. | Professor | Systems Engineer

I am a Systems Engineer, Professor, and Ph.D. graduate specializing in cloud-native systems, AI, networks, and optimization. I bring over 10 years of experience across industry, academia, and research, spanning telco cloud and AI-powered solutions.

Currently, I work at Shared Services Canada designing cloud-native AI communication systems, and I teach Cloud Development & Operations at Algonquin College.

LinkedIn Scholar ResearchGate Email

Research

My Ph.D. work at Carleton University focused on network orchestration and resource provisioning for 5G/6G networks. I developed optimization frameworks and deep reinforcement learning (DRL) models to tackle challenges in virtual network function (VNF) placement, fragmentation-aware resource allocation, and service function chain (SFC) planning.

Deep RL for Online/Offline VNF Placement

Online VNF placement with DRL & reward-constrained policy optimization; scalable chain placement for dynamic network demands.

IEEE TMLCN 2024 - Optimizing resource fragmentation in VNF placement
IEEE MeditCom 2024 - Online VNF placement using DRL
IEEE ICC 2024 - Fragmentation-aware VNF placement

Fragmentation-Aware Resource Provisioning

Minimizing substrate fragmentation for better acceptance ratios and latency using deep reinforcement learning techniques.

IEEE TMLCN 2024 - Fragmentation optimization with DRL
IEEE ICC 2024 - Resource allocation strategies

SFC Planning & Feasibility Restoration

Offline/online SFC planning with automatic infeasibility restoration; case study in 5G cloud gaming applications.

Computer Networks 2024 - SFC network planning techniques
IEEE ICC 2023 - Automatic feasibility restoration for 5G cloud gaming

Fast Resource Allocation for VNF Chains

Lightweight heuristics for rapid admission and placement under strict latency constraints in emerging 5G networks.

IEEE MeditCom 2022 - Online and scalable VNF chain placement
IEEE ITC 2022 - Fast resource allocation for VNF chains

Earlier Work

Before my Ph.D., my research contributions spanned biomedical signal processing, intelligent transportation systems, and photonics. I worked on improving real-time remote photoplethysmography (rPPG) for heart rate monitoring using adaptive skin detection, with applications in driverless car passenger safety and low-cost health monitoring systems.

Biomedical Signal Processing & Photonics

Remote photoplethysmography, intelligent transportation systems, and optical communications research.

IEEE Access 2019 - Optimizing remote photoplethysmography
IEEE ICAC 2018 - Real-time heart-rate monitoring for driverless cars

News

August 2025

Completed teaching Spring 2025 semester at Algonquin College, delivering CST8917 Serverless Applications and CST8919 DevOps – Security and Compliance

May 2025

Completed teaching Winter 2025 semester at Algonquin College, delivering CST8915 Full-stack Cloud-native Development and CST8916 Remote Data and Real-time Applications

January 2025

Successfully defended my Ph.D. thesis on "Optimal Placement and Resource Provisioning for Virtual Network Functions: Traditional and Deep Reinforcement Learning Techniques" at Carleton University

December 2024

Completed teaching Fall 2024 semester at Algonquin College, delivering CST8915 Full-stack Cloud-native Development and CST8916 Remote Data and Real-time Applications

April 2024

Started new position as Systems Engineer at Shared Services Canada, focusing on cloud-native AI communications

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

Professional Experience

Systems Engineer

2022 - Present

Government of Canada - Shared Services Canada

Design and implement cloud-native AI communications systems. Research AI technologies for telecommunications optimization. Previously worked as Network Analyst and Systems Developer at AAFC.

Professor

2022 - Present

Algonquin College - Cloud Development and Operations Program

Teaching cloud-native applications, full-stack development, real-time processing, serverless computing, and DevOps security and compliance.

Cloud Infrastructure Engineer

2021

CENGN - Centre of Excellence in Next Generation Networks

Deployed cloud-native applications using Docker, Kubernetes, and OpenStack. Managed infrastructure using Infrastructure as Code (IaC) methodologies.

Professional Services

Technical Program Committee

TPC Member for IEEE International Conference on Communications (ICC) and IEEE International Mediterranean Conference on Communications and Networking (MeditCom)

Journal Reviewer

Reviewer for Journal of Cloud Computing and Journal of Electrical Engineering

Professional Memberships

IEEE Communications Society (ComSoc), IEEE Young Professionals

Teaching

Professor at Algonquin College; Teaching Assistant at Carleton University for Digital Systems and Computer Architecture courses

Technical Skills & Certifications

Cloud & Containerization

Azure AWS Kubernetes Docker OpenStack VMware vSphere

Programming Languages

Python C/C++ Go Java Shell/Bash

AI & Optimization

TensorFlow PyTorch OpenCV Gurobi MATLAB

Certifications

Azure Fundamentals CENGN Cloud Specialist Infrastructure as Code