Mahfuz al Hasan
Graduate Research Assistant - Deep Learning for Hardware Security @Florida Institute For Cybersecurity Research
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WORK HISTORY
Graduate Research Assistant - Deep Learning for Hardware Security @Florida Institute For Cybersecurity Research
Gainesville, FL, US
Designed EVHA - A deep-learning based real-time hardware verification tool by processing nano-scale Scanning Electron Microscopic (SEM) images-> EVHA will enable faster trojan detection in different node-technology chips in future. EVHA was published in notable ACM-JETC journal-> Developed Printed Circuit Board (PCB) inspection tool by processing optical images of PCB using AI-> Involved in the development of novel MRI image acquisition of PCB that has received funding from NSF-> Conducting research under the CYAN (Center for Enabling Cyber Defense in Analog and Mixed Signal Domain) program led by strong government and industry partnerships-> Contributed to writing proposals for NSF, NIH, and Air Force.
EDUCATION
Bangladesh University of Engineering and Technology
Bachelor of Science - BS, Computer Science
Bheramara Pilot High School
SSC, Science
University of Central Florida
Graduate Study, Computer Science
University of Florida
Doctor of Philosophy - PhD, Electrical and Computer Engineering
Dhaka Residential Model College
HSC, Science
ABOUT MAHFUZ AL HASAN
Ph.D. candidate in Electrical and Computer Engineering at the University of Florida, specializing in applying advanced AI methods to interdisciplinary problems in healthcare and cybersecurity. Experienced in developing high-dimensional data analysis solutions using deep learning, with significant contributions to hardware security and medical imaging. Proficient in managing complex projects, publishing research in high-impact journals, and collaborating with industry and academic partners. Passionate about leveraging AI for sustainability and global impact. Site: https://sites.google.com/view/mahfuz-al-hasan/home
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