Dr. Adel Abusitta is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montreal. His main expertise lies in AI-powered Cybersecurity, IoT Security, and malware detection and analysis. He has made significant contributions to data-driven intrusion detection and analysis, leveraging advanced machine learning algorithms. Dr. Abusitta worked on designing and implementing AI-powered Data Analytics for Discerning Malware Intent in collaboration with Defence Research and Development Canada (DRDC). Additionally, he has been involved in designing and implementing novel methodologies, techniques, and models for the early detection, prevention, and mitigation of cyber-attacks. Before joining Polytechnique Montreal, Dr. Abusitta served as a data-driven cybersecurity researcher and consultant at the Institute for Data Valorization (IVADO). He has mentored graduate students, assisting them in developing innovative and practical research ideas on topics related to machine learning security and privacy. Furthermore, he has worked closely with industrial partners to identify best practices for synthesizing sensitive data while achieving privacy-preserving machine learning without compromising accuracy.