Keynotes
Quantum Artificial Intelligence for Regression Testing of Cyber-Physical Systems
Shaukat Ali (Simula Research Laboratory, Norway)
Abstract
Cyber-physical systems (CPS) are increasingly large-scale and complex, with artificial intelligence components being integrated, making them more computationally expensive to test. To this end, this keynote will discuss the applications of emerging quantum artificial intelligence (QAI) techniques to support and enhance regression testing of CPS, including test optimization and automated test oracles. It will demonstrate these applications through real-world case studies, illustrating practical benefits, current limitations, and implementation challenges.
Finally, the keynote will present insights from a research agenda on QAI for classical software engineering, highlighting how emerging QAI can enhance and complement classical software engineering.
Shaukat Ali
Bio
Shaukat Ali is a Chief Research Scientist, Research Professor, and Head of Department at Simula Research Laboratory in Oslo, Norway.
He also serves as director of the Norwegian Quantum Software Center.
His research focuses on developing advanced methods for engineering cyber-physical systems using artificial intelligence, digital twins, and quantum computing. He has led numerous national and European research projects in software testing, search-based software engineering, model-based systems engineering, and quantum software engineering. Dr. Ali is a co-founder of several key initiatives in the emerging field of quantum software, including the International Workshop on Quantum Software Engineering (held at ICSE), the International Conference on Quantum Software, and the QC+AI Workshop (held at AAAI). He also represents Simula in multiple national and international quantum computing research and industry networks.
Ways to Evolve as a Knowledge Worker in an AI-era. One of them is a Trap!
Anita Sarma (Oregon State University, USA)
Abstract
It starts as the illusion of fluency. AI hands back work that reads clean and feels finished, and that polish passes for your own competence. Some delegation is healthy. The trap is handing off the part of the work that was your craft once. Do that, and the skill stops evolving, so the next task leaves you more dependent than the last. We call it the cognitive debt cycle, and it compounds: every handoff feels like progress while your ability to work without help erodes.
This talk draws on what we have heard from thousands of developers, students, and open-source contributors. What counts as meaningful work? What happens to our professional identity and skills when the craft gets handed off? What happens to our community when we turn to bots? And what about the people just starting out?
Anita Sarma
Bio
Anita Sarma is a Professor in Electrical Engineering and Computer Science at Oregon State University, where she also serves as Associate Head and directs the EPIC Lab.
Her research sits at the intersection of human-centered software engineering, AI and STEM education, with a long-running focus on cognitive diversity, developer experience, and the sustainability of open source communities. Her recent work studies what habitual AI reliance does to how people think, learn, and contribute, drawing on empirical studies of developers, students, and open source contributors across multiple institutions. She has sustained research partnerships with Google, Microsoft, GitHub, the Apache Foundation, and the Linux Foundation. She has advised numerous PhD students into faculty and research careers.