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 Deep Learning applications in engineering systems. My work bridges theoretical foundations with applied cybersecurity and fault detection, producing tools and insights that directly inform industrial and research decision-making.
My academic journey began with a B.S. in Telecommunication Engineering followed by an M.S. in Electronics and Communication Engineering. 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.
11 simulations
Linear Control
Design and simulation of linear control strategies including PID, state-space, and frequency-domain analysis across multiple plant models.
3 simulations
Project 3
Description of your third project — replace this with your actual course name and a brief summary of the work.
3 simulations
Peer-reviewed publications and preprints. Click a paper to access the full document.
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