Principal Investigator, 2015-09-07 to present
Academic affiliation: Associate Professor, Dept. of Mechanical Engineering, National Cheng Kung University
ORCID: 
https://orcid.org/0000-0003-4867-6707
Dr. Torbjörn Nordling obtained both his Ph.D. in Automatic Control (2013) and his M.Sc. in Engineering Physics (2005) from KTH Royal Institute of Technology in Stockholm, Sweden. He has specialised in Mathematical Modelling, System Identification, and Machine Learning with applications mainly in Biology, Medicine, and Material Science. He has developed both new theory and methodology, most notably, for Robust Network Inference and Robust Variable Selection.
He is currently an Associate Professor in Automatic Control at the Dept. of Mechanical Engineering at the National Cheng Kung University in Tainan, Taiwan since Feb. 2024. Previously, he was a part-time Senior Lecturer/Associate Professor in Media Technology at the Dept. of Applied Physics and Electronics at Umeå University in Umeå, Sweden, 2020-2021, and Assistant Professor in Automatic Control at the Dept. of Mechanical Engineering at the National Cheng Kung University from Sept. 2015 to Jan. 2024. He also was joint faculty of Miin Wu School of Computing, National Cheng Kung University in Tainan from its establishment 2020-06-03 to 2022-07-31, and associated with Stockholm Bioinformatics Center at the Science for Life Laboratory in Sweden. He did a PostDoc at the Dept. of Immunology, Genetics and Pathology at Uppsala University in Sweden 2013-2015. He has been a visiting researcher at Telethon Institute of Genetics and Medicine in Naples, Italy and ERATO Kitano Symbiotic Systems Project at Japan Science and Technology Agency in Tokyo, Japan.
He has co-founded several companies, including Nordron AB—a startup specialised in data analysis, and Jagah Systems AB—an award-winning indoor geolocalisation startup. He has been the CEO of the former for almost two years. He is an angel investor and/or advisor of e.g. Darmiyan Inc.—a U.S. MedTech company developing a virtual microscopy technique for early detection and monitoring of Alzheimer’s disease; Virtual Internship Partners Ltd.—a U.K. Digital work company that already is the global leader providing virtual internships to college students; Howbout Ltd.-a U.K. social calendar that is growing in popularity; Alpha 311 Ltd.—a U.K. Renewable energy company making vertical axis turbines; Unity Chain, Inc.—a U.S. Block chain venture studio creating the multi-helix technology powering Supra-Oracles, the flagship project of the Entropy Foundation. These companies are also backed by Y Combinator, 500 Global, Techstars, Eisai Innovation, or Sequoia Capital.
He has co-authored more than 30 peer-reviewed articles, and given more than 70 invited keynotes, seminar, or oral presentations. His research is currently focused on applications of Artificial Intelligence, Data Science, Network Inference, and Feature Selection.
Teaching
- Electronics
- Adaptive control
- Model Selection and Network Inference of Complex Systems
- Professional skills for engineering the third industrial revolution
- Scientific information gathering and processing for engineering research
- Introduction to Artificial Intelligence and Deep Learning for Engineers and Scientists
- Deep Learning: Computing and Application
- Implications and Forecasting of Automation Technology
- Introduction to Innovation and Entrepreneurship