Portfolio & Research
Ph.D. Candidate, Electrical Engineering
Researcher and engineer specializing in Deep Learning applications in cybersecurity. Passionate about bridging rigorous analysis with real-world engineering impact.
Institution
North Carolina A&T State University, College of Engineering
Department
Electrical & Computer Engineering
Research Focus
Vulnerability detection using Deep Learning Applications
Advisor
Dr Ahmad Patooghy
myndebugre@aggies.ncat.edu
I am a Ph.D. candidate in Electrical Engineering with a focus on Deeep Learning applications in engineering systems. My work sits at the intersection of graph-based AI and software security — building neural systems that detect, explain, and repair vulnerabilities in source code, with direct applications to safety-critical and cyber-physical engineering systems.
My academic journey began with a B.S. in Telecommunication Engineering at the Kwame Nkrumah University of Science and Technology, followed by an M.S. in Electronics and Communication Engineering at the Yildiz Technical University. I have since been involved in federally funded research projects and industry collaborations, developing robust simulation frameworks and analyzing complex multi-physics phenomena.
Outside of research, I am passionate about science communication, mentoring junior engineers, and open-source scientific software. I believe in making rigorous engineering tools accessible to a broader community.
Autonomous Mobile Robots
Simulation and analysis of autonomous robot navigation, path planning, and obstacle avoidance across multiple scenarios.
5 simulations
Linear Control
Design and simulation of linear control strategies including PID, state-space, and frequency-domain analysis across multiple plant models.
6 simulations
Digital Signal Processing
Description of your third project — replace this with your actual course name and a brief summary of the work.
9 simulations
Peer-reviewed publications and preprints. Click a paper to access the full document.
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