Researcher working at the intersection of malware analysis, explainable AI, digital forensics, and applied deep learning.
Dr. Saqib is currently working as an Assistant Professor in the Information and Computer Science (ICS) Department at KFUPM, and associated with the Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS). He is an AI and cybersecurity researcher whose work focuses on explainable AI, malware analysis, and applied deep learning. He received his PhD from McGill University, Canada, his M.Tech in Data Analytics from IIT (ISM) Dhanbad, India, and his earlier academics from Aligarh Muslim University, India. His research has appeared in leading venues, including ACM Computing Surveys, IEEE Transactions on Fuzzy Systems, IEEE ICDE, and ECML PKDD. He is a recipient of the FRQNT scholarship and has been listed in the Stanford–Elsevier Global Top 2% Scientists ranking. His broader research interests include trustworthy AI, digital forensics, and software security.
Research on malware understanding, detection, and security-focused analytical methods.
Developing interpretable machine learning approaches that make model decisions more transparent.
Studying forensic methods for cyber investigations, evidence analysis, and trustworthy interpretation.
Designing deep learning systems for practical problems in cybersecurity and intelligent data analysis.
Research focused on explainable AI for malware analysis.
Graduate study in data analytics with strong emphasis on machine learning and intelligent systems.
Advanced academic training in computer science and software systems.
Foundation in computing, programming, and applied software development.
Research project hosted at Yıldız Technical University and funded by TÜBİTAK 1001, focused on advanced ransomware detection and intelligent security analysis.
Research work on cyber threat intelligence for predicting and counteracting cyber threats, supported by BlackBerry and Defence Research and Development Canada.
Time series and AI-driven research for seismic prediction carried out through international collaboration and supported by SERB and DST in India.
Cloud-based software solution for hybrid vehicle charging under a government-funded project focused on smart energy systems.
Current faculty position in intelligent and secure systems, teaching and research in AI and cybersecurity.
Supported graduate teaching in information security, cryptography, software exploitation and defence, and network and endpoint security.
Worked on explainable AI for digital forensics and malware-related cyber forensic research.
Led development of web-based community software solutions using modern web technologies and cloud tools.
Recognized among the global top 2% scientists in Information and Communication Technologies.
Recipient of the Quebec provincial doctoral scholarship.
Received for strong academic and research performance.
Recognition for publishing in an A* conference venue.
Supporting journal-related academic coordination and activities.
Represented doctoral students and supported communication across the school community.
Featured in news related to receiving the FRQNT scholarship.
Media coverage related to debate participation and public discussion.
Featured for developing a search platform for blood donor support.