Pavel Nedvedicky

Pavel Nedvedicky is a researcher at the Chair of Software Engineering (Prof. Stefan Wagner) within the Technical University of Munich's Informatics faculty. He focuses on enhancing safety in autonomous driving systems through scenario-based testing methodologies, system-theoretic analysis, and virtual simulation techniques. His work bridges academic research with industrial practice, particularly in addressing validation challenges for autonomous systems.

Research Interests:

• Safety of ADAS/ADS systems
• Scenario-based testing frameworks and critical scenario identification
• System-Theoretic Process Analysis (STPA)
• DevOps integration in continuous testing

He actively supervises student theses in these areas, emphasizing collaboration with industry partners. Current open topics include a survey on industrial adoption of scenario-based testing for autonomous driving systems. His research contributes to closing gaps between theoretical advancements and real-world deployment challenges in autonomous vehicle validation.