Authored or co-authored around 100 papers in international conferences and journals, involving industrial and open-source projects
Received multiple best paper awards or nominations
Co-authored the book "Roadmap for DevOps in Cyber-physical Systems: Challenges and Future Directions"
Contributed two book chapters to "Large Language Models in Cybersecurity and Cyberdefense": "Vulnerabilities Introduced by LLMs through Code Suggestions" and "Enhancing Security Awareness and Education for Large Language Models"
Selected in 2021 as one of the top-20 most impactful SE researchers worldwide by the JSS journal
Ranked in the top 2% of researchers in his sub-field in 2022, 2023, and 2025 according to Stanford University’s standardized citation metrics author database
Serves or has served on program committees of major international conferences (e.g., ICSE, ICST, ISSTA, ASE, FSE, ICSME)
Background
Passionate Computer Science Researcher at the University of Bern (UniBe)
Main research goal is to conduct industrial research involving both industrial and academic collaborations to support the Internet of Things (IoT) vision, focusing on AI-enabled smart systems (e.g., drones and cyber-physical systems) in future smart cities
Deeply interested in interdisciplinary research bridging computer science and life sciences, integrating software engineering, AI/ML, and domain-specific expertise
Research interests include Software Engineering (SE), Data Science (DS), Life Engineering (LE), and Cloud Computing (CC), specifically DevOps, ML applied to SE, software maintenance and evolution (especially for cloud, mobile, AI-based, and cyber-physical applications), and mobile computing
Promoting research on summarization techniques for code, changes, and testing