Dr. Antonio Martini
Keynote Title: TBD
Keynote Abstract: TBD.
| Antonio Martini's Bio: Antonio Martini is a Professor at the University of Oslo, whose research lies at the intersection of Artificial Intelligence and Software Engineering. His recent work focuses on leveraging AI to advance software engineering practices—particularly in managing Technical Debt, improving software architecture, and enhancing engineering processes for AI systems. His broader research interests include technical leadership, agile software development, and software quality management. He is passionate about collaborating with software companies to bridge research and practice, striving to co-create innovative solutions that improve the state of the art and the state of practice in the software industry. His experience spans a wide range of contexts, including large embedded software organizations, small web-based companies, B2B enterprises, and startups. His expertise covers everything from technical programming and software architecture to agile methodologies and software business strategy. Dr. Martini has collaborated with numerous leading companies such as Ericsson, Volvo, Saab, Axis, Grundfos, Siemens, Bosch, Jeppesen, Visma, Knowit, and AKVA Group, among others. He has also led industrial projects on managing and visualizing technical debt, including initiatives with Ericsson EPG and Volvo IT. |
Dr. David Lo
Keynote Title: TBD
Keynote Abstract: TBD.
| David Lo's Bio: David Lo is the OUB Chair Professor of Computer Science and the founding Director of the Center for Research in Intelligent Software Engineering (RISE) at Singapore Management University. Championing the field of AI for Software Engineering (AI4SE) since the mid-2000s, he has demonstrated how AI — encompassing data mining, machine learning, information retrieval, natural language processing, and search-based algorithms — can transform software engineering data into actionable insights and automation. Through empirical studies, he has identified practitioners’ pain points, characterized the limitations of AI4SE solutions, and explored practitioners’ acceptance thresholds for AI-powered tools. He regularly contributes to the MSR conference and works on various MSR topics, including how MSR provides insight into the reliability of machine learning (ISSRE’12) and powers automated program repair (SANER’16). His contributions have led to over 20 awards, including two Test-of-Time awards and eleven ACM SIGSOFT/IEEE TCSE Distinguished Paper awards, and his work has garnered over 38,000 citations. An ACM Fellow, IEEE Fellow, ASE Fellow, and National Research Foundation Investigator (Senior Fellow), Lo has also served as the GC of MSR’22 and ASE’16, and as a PC Co-Chair for ASE’20, FSE’24, and ICSE’25. For more information, please visit: http://www.mysmu.edu/faculty/davidlo/. |
Justine Gehring
Keynote Title: TBD
Keynote Abstract: TBD.
| Justine Gering's Bio: Justine Gehring, a Mila Alumni and head of AI at Gologic, works across deterministic and non-deterministic approaches to remediate tech debt in all its forms, including legacy software, CI/CD gaps, infrastructure cost, IaC drift, observability, and security posture. She partners with medium and large enterprises, often in financial and manufacturing sectors, to apply AI to real operational bottlenecks faced by their IT teams, with a clear focus on productivity. For her, the right solution pairs AI agents with precise tools and guardrails so models act with traceability, reproducibility, and policy compliance you can trust. Because credible remediation requires proof, and she is still a researcher at heart, she also builds the evaluations: two datasets designed to test AI or non-AI solutions, including one accepted at a NeurIPS workshop. |
Dr. Margaret-Anne Storey
Keynote Title: TBD
Keynote Abstract: TBD.
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Margaret-Anne Storey's Bio: Margaret-Anne Storey is a Professor of Computer Science and a Canada Research Chair in Human and Social Aspects of Software Engineering. Together with her students and collaborators, she seeks to understand how software tools, communication media, data visualizations, and social theories can be leveraged to improve how software engineers and knowledge workers explore, understand, analyze and share complex information and knowledge. She has published widely on these topics and collaborates extensively with high-tech companies and non-profit organizations to ensure real-world applicability of her research contributions and tools. Dr. Storey currently advises companies that include Microsoft and DX on strategies to understand and improve developer productivity and developer experience. For more information, please visit: https://margaretstorey.com/. |