جستجوی استاد راهنمای دانشگاهی

Stefan Wagner is a full professor of software engineering at the Technical University of Munich (TUM), where he leads the Chair of Software Engineering within the Informatics Heilbronn 3 department. He earned his PhD in computer science from TUM and has established himself as a leading researcher in software engineering with a unique interdisciplinary background combining computer science and psychology. Dr. Wagner's research spans multiple areas of software engineering including software quality, human factors, AI-based software engineering, automotive software, and empirical studies. His work often bridges theoretical foundations with practical applications, particularly in the automotive domain and AI-assisted development. He has published over 130 peer-reviewed scientific articles and authored the book 'Software Product Quality Control.' His recent publications demonstrate a growing focus on AI integration in software engineering, with particular attention to large language models, empirical validation of AI-assisted development practices, and the human aspects of these emerging technologies. There's also a strong thread of research on automotive software systems, technical debt, and software quality measurement. 2022 Class of IEEE Computer Society Distinguished Contributors Senior member of IEEE and ACM Best Full Paper Award, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement 2020 Best Paper Award, EAI International Conference on Cognitive Computing and Cyber Physical Systems 2020 Keynote at the International Conference on Software Quality 2020 Google Research Award 2009 Dr. Wagner actively mentors students and early-career researchers, with several frequent co-authors on his publications likely representing his advisees. His research has been supported by various funding sources enabling his work on automotive software, AI in software engineering, and empirical studies. He serves on the editorial boards of IEEE Software, Empirical Software Engineering, and the Journal of Systems and Software, contributing significantly to the academic community. His research group appears to focus on several key areas including AI-assisted software development, automotive software systems, and empirical software engineering methods. The group maintains active collaborations with industry partners, particularly in the automotive sector, and engages in interdisciplinary research bridging computer science with psychology and human factors.

• Software Quality
• AI-Supported Software Engineering
• Empirical Studies
• +۳ مورد دیگر

Ajitha Rajan is a Professor (Personal Chair of Software Testing & Verification) at the School of Informatics, University of Edinburgh. She joined the university in December 2012 as a Reader (equivalent to Associate Professor in American terms) and was promoted to Professor in 2024. Prior to her position at Edinburgh, she held postdoctoral positions at Oxford University and Laboratoire d'Informatique de Grenoble in France. She earned her PhD in Computer Science from the University of Minnesota in August 2009 under Professor Mats Heimdahl. Her research focuses on two primary directions: Automated Software Testing (including test input generation, test oracles, and coverage measurement) and Biomedical AI (particularly cancer survival models and interpretability for biological sequences and medical images). Her work has applications in safety-critical systems, blockchains, embedded systems, and medical diagnostics. She has made significant contributions to explainable AI for healthcare applications, especially in lung cancer detection and cancer survival analysis. Her recent publications demonstrate a strong trend toward interdisciplinary research at the intersection of software engineering and biomedical applications. She has numerous publications in top venues including ICSE, ASE, and healthcare-focused conferences. Her work increasingly focuses on making AI systems more interpretable and trustworthy, particularly in medical contexts where model decisions can have life-or-death consequences. ACM SIGSOFT Distinguished Reviewer Award, ISSTA 2025 Best Paper Award at ICHI 2025 Promoted to Professor (Chair in Software Testing & Verification) 2024 SICSA Best Supervisor Award 2024 ACM Distinguished Paper Award 2008 Professor Rajan actively supervises PhD students in both software testing and biomedical AI domains. She leads several funded projects including MANIFEST (a cancer immunotherapy response research platform), a Huawei Joint Lab project on RobustCheck, a Royal Society Industry Fellowship on AutoTest, and the KATY project on clinical knowledge for personalized medicine. Her research group includes current PhD students working on explainable AI for medical image analysis, scenario-based testing for autonomous driving, and protein design applications.

• Software Testing
• Software Verification
• Test Automation
• +۶ مورد دیگر

Peter Wessel Hansen serves as an Archivist and Guest Researcher at the SAXO-Institute within the Faculty of Humanities at the University of Copenhagen. His scholarly work focuses on poverty systems, complaint cultures, and urban dynamics in early modern Denmark, particularly examining social stratification and honor systems in 18th-century Copenhagen through micro-analytical approaches. Hansen's research interests converge at the intersection of cultural history, social history, and urban studies, with emphasis on how marginalized groups navigated autocratic systems. As co-Principal Investigator of the Copenhagen Complains project, he investigates complaint mechanisms as tools for shaping urban order in eighteenth-century Europe, analyzing how citizens used petitions to influence governance without formal representation. His methodology combines archival analysis with life-writing studies to reconstruct social experiences. Recent publications demonstrate consistent thematic focus on complaint culture as a lens for understanding social agency, with recurring exploration of poverty narratives, bodily materiality, and urban governance. This body of work reveals sophisticated analysis of how ordinary citizens negotiated power structures through documented grievances, contributing significantly to historical sociology and urban studies. Hansen actively collaborates within research networks, notably with U. Langen and L. V. Perner on the Copenhagen Complains initiative. His work integrates historical complaint records with spatial analysis to map social interactions in premodern Copenhagen, revealing patterns of citizen-state negotiation that reshape understanding of urban development in autocratic contexts.

• Poverty and Poor Relief in Early Modern Denmark
• Private Charity and Philanthropy in the 18th-19th Centuries
• Urban History of Copenhagen
• +۴ مورد دیگر