Dr. Hadi Hemmati is a distinguished computer scientist renowned for his innovative contributions to software engineering and trustworthy artificial intelligence. Currently serving as an Associate Professor at York University's Department of Electrical Engineering and Computer Science, he brings extensive academic and practical expertise to his field. Following his doctoral studies in Software Engineering at the University of Oslo, Norway (2007-2011), Dr. Hemmati conducted postdoctoral research at both Queen's University and the University of Waterloo. His academic career has spanned multiple prestigious Canadian institutions including previous faculty appointments at the University of Calgary and the University of Manitoba. Holding the P.Eng professional engineering designation, he uniquely bridges theoretical knowledge with real-world engineering practice.
Dr. Hemmati's research program centers on advancing automated software engineering through rigorous empirical investigation of practical solutions for large-scale systems. He has made seminal contributions to software testing, debugging, and repair methodologies while pioneering new approaches to building robust and explainable AI systems. His work has directly impacted numerous industry sectors including IT, aviation, insurance, urban development, and fintech through multiple industry-funded research projects where he served as principal investigator. Dr. Hemmati's distinctive approach emphasizes not only theoretical soundness but also practical applicability, ensuring his innovations can be effectively deployed in real-world environments. This commitment to pragmatic solutions has established him as a leading voice in developing evidence-based practices for modern software development.
Extending his academic work, Hadi Hemmati has held the position of Researcher at Google Research since 2025, concurrently with his role as Associate Professor at York University, creating a vital connection between cutting-edge academic research and industry implementation. His collaborative research model has fostered strong partnerships across academia and industry, accelerating the translation of theoretical advances into practical tools and methodologies. As a dedicated mentor, he trains the next generation of computer scientists, equipping students with expertise in both foundational software engineering principles and emerging AI techniques. Dr. Hemmati continues to expand his research into new frontiers where machine learning can enhance software quality assurance processes while maintaining rigorous standards of reliability. With his unique blend of academic rigor and practical insight, he remains at the forefront of shaping the future of trustworthy software systems in an increasingly AI-driven world.
