Registered user since Mon 10 May 2021

Name:Hans-Martin Heyn

Bio:

Academic:

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

Interests

Safety Engineering
Fault Detection and Isolation
Bayesian Statistics and Machine Learning
Information Technology
Sensor Networks
Monitoring Systems

Country:Sweden

Affiliation:University of Gothenburg & Chalmers University of Technology

Personal website:https://www.chalmers.se/en/staff/Pages/heyn.aspx

Twitter:https://twitter.com/Martin_Heyn

Research interests:Information Theory, Bayesian Statistics, Functional Safety, Requirement Engineering for AI, Sensor Networks

Contributions

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