Dr. Mohd Saqib is a researcher specializing in explainable artificial intelligence (XAI), machine learning, and cybersecurity. He completed his Ph.D. at McGill University, where his research focused on developing interpretable models for malware analysis in collaboration with Defence Research and Development Canada (DRDC). He holds a Bachelor of Science (B.Sc.) and a Master of Computer Applications (MCA) in Computer Science from Aligarh Muslim University, as well as a Master of Technology (M.Tech.) in Data Analytics from the Indian Institute of Technology (ISM) Dhanbad. Dr. Saqib has authored several high-impact Q1 journal publications, including a comprehensive survey on explainable AI for malware analysis published in ACM Computing Surveys (Impact Factor 23.8), as well as research articles in IEEE Transactions on Fuzzy Systems. He has filed four U.S. patents related to AI-driven technologies through his research collaborations with BlackBerry and Zayed University. In addition to his research contributions, Dr. Saqib has served as a Teaching Assistant for courses in cybersecurity, ethical hacking, and artificial intelligence at McGill University. He is a recipient of the Graduate Excellence Award at McGill University and the prestigious FRQNT scholarship. His research interests span interpretable and trustworthy AI, malware detection and analysis, and the application of AI to cyber and critical infrastructure security.