KeynotesCASCON 2025
Foutse Khomh
Bio: Foutse Khomh is a Full Professor of Software Engineering at Polytechnique Montréal, a Canada Research Chair Tier 1 on Trustworthy Intelligent Software Systems, a Canada CIFAR AI Chair on Trustworthy Machine Learning Software Systems, an NSERC Arthur B. McDonald Fellow, an Honoris Genius Prize Laureate, and an FRQ-IVADO Research Chair on Software Quality Assurance for Machine Learning Applications. He received a Ph.D. in Software Engineering from the University of Montreal in 2011, with the Award of Excellence. He also received a CS-Can/Info-Can Outstanding Young Computer Science Researcher Prize for 2019, the Excellence in Research and Innovation Award of Polytechnique Montréal, and the prestigious IEEE CS TCSE New Directions Award in 2025. His work has received four ten-year Most Influential Paper (MIP) Awards, eight Best/Distinguished Paper Awards at major conferences, and two Best Journal Paper of the Year Awards. He initiated and co-organized the Software Engineering for Machine Learning Applications (SEMLA) symposium and the RELENG (Release Engineering) workshop series. He also co-organized the FM+SE Summit series (https://fmse.io/), a platform where leading industrial and academic experts discuss and reflect on the challenges associated with the adoption of foundation and large models in software engineering. He is co-founder of the NSERC CREATE SE4AI: A Training Program on the Development, Deployment, and Servicing of Artificial Intelligence-based Software Systems and one of the Principal Investigators of the DEpendable Explainable Learning (DEEL) project. He is also a co-founder of Quebec’s initiative on Trustworthy AI (Confiance IA Quebec) and Scientific co-director of the Institut de Valorisation des Données (IVADO). He is on the editorial board of multiple international software engineering journals (e.g., TOSEM, IEEE Software, EMSE, SQJ, JSEP) and is a Senior Member of IEEE.
Shin Hwei Tan
Bio: Shin Hwei Tan is an Associate Professor (Gina Cody Research Chair) in Concordia University. Before moving to Concordia University, she was an Assistant Professor in Southern University of Science and Technology in Shenzhen, China. She obtained her PhD degree from National University of Singapore and her B.S (Hons) and MSc degree from University of Illinois at Urbana-Champaign. Her main research interests are in automated program repair, software testing and open-source development. She is an Associate Editor for TOSEM and the Guest Editors-in-Chief for the New Frontier in Software Engineering track in TOSEM. She has also served as PCs for top-tier software engineering conferences, where she won 3 best reviewers award (FSE 2020, ASE 2020, ICSE 2022 NIER-track). She is also the general chair of FSE26 which will be held in Concordia University. She recently won the 2025 ACM-W Rising Star Award, ACM SIGSOFT Distinguished Paper award for ICSE 2025 and IEEE Distinguished Paper Award for ICST 2025.
Jie M. Zhang
Bio: Dr. Jie M. Zhang is a lecturer of computer science at King’s College London. Her main research interests are the trustworthiness of software engineering, AI, and LLMs. She has published numerous papers in top-tier venues including ICML, ACL, NeurIPS, ICLR, ICSE, FSE, ASE, ISSTA, TSE, and TOSEM. She is a steering committee member of conferences IEEE ICST and ACM AIware. She is the general chair of AIware 2025, the area chair of ICSE 2026 and ASE 2025, and the program chair of many events such as AIware 2024, Internetware 2024, and ISSTA 2025 Doctoral Symposium. Over the last three years, she has been invited to give over 30 talks at conferences, universities, and IT companies. In recognition of her influence, she was named one of the Top 15 Global Chinese Female Young Scholars in Interdisciplinary AI (2023). Her research has won the FSE 2025 distinguished paper award, the 2022 IEEE Transactions on Software Engineering Best Paper award, and the ICLR 2022 spotlight paper award. She is also the winner of 2025 ACM Sigsoft Early Research Award, one of the most prestigious honours for early-career researchers in the software engineering community.