About me

Hi I’m Jonas! I am a PhD student in Artificial Intelligence for Cyber-Physical Systems at the Helmut-Schmidt University in Hamburg, Germany. I am working at the chair of Computer Science in Mechanical Engineering, at the department of Mechanical Engineering.

My research focuses on messy planning problems that arise in the context of Cyber-Physical Systems. I am working on sub-symbolic algorithms that tackle such messy planning problems based on system observations, rather than system descriptions.

Apart from that, I am interested in Cognitive Science and Neuroscience. I love to draw inspiration from these domains for algorithmic solutions, encouraging a interdisciplinary view on real-life problems from those perspecitves.

Below, you can find some information on my education, experience and recent activity in the scientific community.

Education

     
logo-hsu   PhD Artificial Intelligence in Mechanical Engineering
from 2021 Helmut-Schmidt-University, Hamburg
logo-uva   MSc Information Studies - Data Science
2019 - 2020 University of Amsterdam, Amsterdam
logo-bayr   MSc Business Administration and Engineering
2017 - 2019 University of Bayreuth, Bayreuth
logo-bayr   BSc Business Administration and Engineering
2013 - 2017 University of Bayreuth, Bayreuth

Work experience

     
image   PhD Student - Artificial Intelligence in Mechanical Engineering
from 2021 Helmut-Schmidt-University, Hamburg
image   Student Research Assistant - Fraunhofer IPA
2015 - 2019 University of Bayreuth, Bayreuth

Activities

Here, you can find some information on my activities in the research community. For more information about my publications, visit my publications page.

2024

  • Program Committee IEEE Conference on Emerging Technologies and Factory Automation 2024, Padova.
  • Program Committee ML-DE (Machine Learning meets Differential Equations) Workshop at ECAI 2024, Santiage de Compostella: link
  • Program Committee HYDRA (Hybrid Models for Coupling Deductive and Inductive Reasoning) Workshop at ECAI 2024, Santiago de Compostella: link
  • Program Committee ML4CPS Conference 2024, Berlin: link
  • Invitee Dagstuhl Seminar 24031 - Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis: link
  • Organizing Committee CAIPI’24 Workshop - Planning for Cyber-Physical Systems @ AAAI 2024, Vancouver: link

2023

  • Local Committee ML4CPS Conference 2023, Hamburg: link

Teaching

Here, you can find some information on courses I tutored. For more information have a look at the teaching page.

2024

  • Labs: Data Science
  • Labs: Programming in C & Algorithms I

2023

  • Labs: Data Science
  • Labs: Programming in C & Algorithms I
  • Lecture: AI Crashcourse (individual lectures of the series)

2022

  • Labs: Embedded Systems
  • Labs: Programming in C & Algorithms I

2021

  • Labs: Embedded Systems