Fandi Bi
Scientific Staff

Technical University of Munich
Institute of Automation and Information Systems
Boltzmannstraße 15
D-85748 Garching bei München, Germany

Phone: +49-89-289-16445
Fax: +49-89-289-16410

Room: MW 0135

Email: fandi.bi@tum.de

 

Award of the Verein Deutscher Ingenieure (VDI) Prize 2019 in the category best master's thesis
Award of the TUM Faculty of Mechanical Engineering WITTENSTEIN Prize 2020 in the category best master's thesis.

Publications

2022

  • Sun, Xueyan; Vogel-Heuser, Birgit; Bi, Fandi; Shen, Weiming: A Deep Reinforcement Learning based Approach for Dynamic Distributed Blocking Flowshop Scheduling with Job Insertions. IET Collaborative Intelligent Manufacturing 1 (CIM212060), 2022, 15 more…

2021

  • Bi, Fandi; Vogel-Heuser, Birgit; Dettmering, Hendrik: Auswirkung und Folgen Technischer Schuld in mechatronischen Systemen und daraus resultierende Anforderungen. VDI-Kongress Automation (VDI KA), 2021 more…
  • Bi, Fandi; Vogel-Heuser, Birgit; Xu, Litong: Frequency and Impact of Technical Debt Characteristics in Companies Producing Mechatronic Products. 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), IEEE, 2021 more…
  • Vogel-Heuser, Birgit; Bi, Fandi: Interdisciplinary effects of technical debt in companies with mechatronic products — a qualitative study. Journal of Systems and Software 171, 2021, 110809 more…
  • Vogel-Heuser, Birgit; Bi, Fandi; Land, Kathrin; Trunzer, Emanuel: Transitions in Teaching Mechanical Engineering during COVID-19 Crisis. Interaction Design and Architecture (s) Journal 21 (2020), 2021, 27--47 more…

2020

  • Vogel-Heuser, Birgit; Land, Kathrin; Bi, Fandi: Challenges for Students of Mechanical Engineering Using UML - Typical Questions and Faults. ELED 2020 : 3rd IEEE Conference on E-Learning and innovation in EDucation, 2020 more…