Hans-Martin Heyn

Registered user since Mon 10 May 2021

Name:Hans-Martin Heyn


  • 2010: B.Sc. Electrical Engineering and Applied Computer Engineering RWTH Aachen University, Germany
  • 2013: M.Sc. Electrical Engineering and Applied Computer Engineering RWTH Aachen University, Germany
  • 2016: M.Sc. Business Administration and Economics, RWTH Aachen University, Germany
  • 2019: PhD Marine Cybernetics NTNU Trondheim, Norway
  • 2021: PostDoc Software Engineering, Gothenburg University, Sweden

Work Experience:

  • 2013 - 2014: Project Manager, E.ON Energy Research Centre, Aachen, Germany
  • 2018 - ongoing: Functional Safety Engineer, Volvo Groups Trucks Technology, Gothenburg, Sweden


  • Safety Engineering
  • Fault Detection and Isolation
  • Bayesian Statistics and Machine Learning
  • Information Technology
  • Sensor Networks
  • Monitoring Systems
Affiliation:University of Gothenburg & Chalmers University of Technology
Research interests:Information Theory, Bayesian Statistics, Functional Safety, Requirement Engineering for AI, Sensor Networks


REFSQ 2023 Presenter of An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications within the Research Papers-track
Discussant of A Requirements Engineering Perspective to AI-based Systems Development: A Vision Paper within the Research Papers-track
Author of Requirements Engineering for Automotive Perception Systems within the Research Papers-track
Requirements Engineering 2023 Organizer of Requirements Analysis and Decomposition for Distributed Systems based on Deep Learning within the Tutorials-track
Committee Member in Program Committee within the RE@Next! Papers-track
CAIN 2023 Author of Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges within the Papers-track
Requirements Engineering 2022 Co-chair of AIRE 2022 - 9th International Workshop on Artificial Intelligence and Requirements Engineering within the Workshops-track
CAIN 2022 Author of Structural Causal Models as Boundary Objects in AI System Development within the CAIN 2022-track
REFSQ 2022 Author of Setting AI in context: A case study on defining the context and operational design domain for automated driving within the Research Papers-track
Requirements Engineering 2021 Virtualization Co-Chair in Organizing Committee
WAIN'21 Author of Requirement engineering challenges for AI-intense distributed systems within the WAIN'21-track