Summary
Mohd Saqib is an Assistant Professor and AI/cybersecurity researcher with nine years of experience, currently at KFUPM and affiliated with IRC-ISS, specializing in explainable AI, malware analysis, and applied deep learning. He holds a PhD in AI from McGill, an MTech in Data Analytics from IIT (ISM) Dhanbad, and earlier degrees from Aligarh Muslim University, and his work has appeared in top venues including ACM Computing Surveys and IEEE transactions. Saqib’s research blends trustworthy AI, digital forensics, and software security, with practical emphasis on making opaque models interpretable for real-world malware and forensic applications. A recipient of the FRQNT scholarship and listed among Stanford–Elsevier’s Global Top 2% Scientists, he also brings international experience from a visiting research stint in the UAE and editorial service in geomatics. Outside academia he is an ML/AI practicalist with computer vision and NLP interests, active on GitHub under the nickname Starr and known for engaging technical outreach like the StarrAI YouTube presence.
9 years of coding experience
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at McGill University School of Information Studies
Master of Technology - MTech, Data Analytics, Master of Technology - MTech, Data Analytics at Indian Institute of Technology (Indian School of Mines), Dhanbad
Master of Computer Applications - MCA, Computer Science, Master of Computer Applications - MCA, Computer Science at Aligarh Muslim University
English, Urdu, Arabic, Hindi