Ph.D. Candidate | Lecturer
Ph.D. Candidate and Part-Time Lecturer I am a Ph.D. Candidate in Mechanical and Aerospace Engineering at Carleton University, defending my thesis in Fall 2026. I am also a part-time lecturer in the School of Advanced Technology at Algonquin College in Ottawa, Canada.
My research focuses on integrating control theory and artificial intelligence to create robotic platforms that demonstrate robust, real-time embodied intelligence.
Carleton University, Ottawa, Canada
I focused in my Ph.D. on using control theory to enhance the autonomy and safety of platforms such as quadrotors, unicycle robots, and multi-robot mobile manipulators. See the figures below. I worked on designing nonlinear feedback control laws with minimum sensing requirements for quadrotors. Moreover, I worked on converting the obstacle-avoidance problem to a QPQC within the MPC framework. This requires lower computational complexity for real-time implementation. I also worked within the reinforcement learning framework to solve the resource allocation problem for a set of robotic manipulators. Finally, I proposed a sim-to-real reinforcement learning framework for docking operations for quadrotors.
Università di Sapienza, Rome, Italy
Italy good old time. I did my Master of Science in Control Engineering in the Department of Computer Engineering at Università di Sapienza, Rome, Italy. I will always be grateful for the training I received during my master’s, where I was exposed to control theory and AI. Professors Salvatore Monaco, Alberto Isidori, Alessandro De Luca, and Stefano Battilotti shaped my mind through their lectures.
Alexandria University, Egypt
I did my Bachelor and M.Eng. in Mechanical Engineering at Alexandria University. This period can be summarized by my activities in participating in drone competitions and the SAE AeroDesign competition in the USA in 2016 and 2017. We were able to achieve ranks 22 and 9 out of 35 teams, competing against top universities in North America and Europe such as Georgia Tech and Texas A&M University, despite the lack of funding and guidance. I worked in the conceptual design of the drone, where I came to understand the role of stability and dynamics in the overall design. This inspired me to learn more about autopilots and led me to pursue a master’s in a similar field with a computer engineering background. I also served for three years in the Egyptian Armed Forces in the Armored Division as a First Lieutenant and technical officer. After finishing my military service, this phase ended, and I traveled to Italy afterward.
IET Control Theory & Applications, 2024
View PaperApplied Soft Computing, 2024
View PaperSystems and Soft Computing, 2024
View PaperMeasurement, Elsevier, 2025
View PaperJournal of Automation and Intelligence, Elsevier, 2025
View Paper2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA
View Paper2024 IEEE American Control Conference (ACC), Toronto, Canada
View Paper2025 IEEE American Control Conference (ACC), Denver, USA
View PaperTeaching core concepts of RL, policy optimization, and practical applications
Covering classical and modern control theory with hands-on projects
Practical application of AI methods to real-world problems
Algonquin College
May 2025 - Present | Ottawa, Canada
Teaching in the Artificial Intelligence Software Development program, focusing on Reinforcement Learning, Control Systems, and AI Techniques.
Innovation Science and Economic Development Canada
January 2024 - April 2024
FSWEP program participant developing ML solutions for government applications.
Egyptian Armored Division
October 2016 - October 2019
Responsible for designing and manufacturing spare parts for armored vehicles.
Active reviewer for flagship conferences and journals in robotics and control: