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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.
Dr. Nordling joined the Department of Applied Physics and Electronics at Umeå University in Umeå, Sweden as Senior Lecturer in January 2020 and the Dept. of Mechanical Engineering at the National Cheng Kung University in Tainan, Taiwan as Assistant Professor in September 2015. Previously he has done a PostDoc at the Dept. of Immunology, Genetics and Pathology at Uppsala University in Sweden. 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 also studied Agricultural Production Economics and Management at the University of Helsinki in Finland and Royal Veterinary and Agricultural University in Denmark, as well as entrepreneurship at Stockholm School of Entrepreneurship in Sweden and innovation management at Copenhagen Business School in Denmark.
He is the founder and former CEO of Nordron AB—an investment company and data analytics consultancy. He has co-founded Jagah Systems AB, an award winning indoor geolocalisation startup. Jagah Systems received SEK 2.75M in non-diluting soft-money investments from various Swedish agencies and an investment offer of EUR 100k from Caixa capital. The later as a part of winning the Smart Cities and Industrial Technologies track of Building Global Innovators—IUL MIT Portugal Caixa Capital Accelerator in 2014. He has co-founded and been the CEO of Aukoti AB—a high-tech company developing Internet of Things technology—formerly Deep Sensing, which received the Best Business Idea award in Venture Cup Öst 2010 in Sweden. He is an angel investor and advisor to Darmiyan Inc. and Unity Chain Inc. in the U.S.A. and yTranslate Ltd. in the U.K.
He has co-authored more than 25 peer-reviewed full-length articles published in international journals (SCI IF 1.5-25) or conference proceedings and given more than 60 invited lectures, oral conference, or poster presentations. He was the co-advisor of Dr. Andreas Tjärnberg and Dr. Daniel Morgan, who defended their PhD theses at Stockholm University 2015-11-12 and 2019-04-05, respectively. He has specialised in Mathematical Modelling, System Identification, and Machine Learning with applications in Biology and Medicine. He has developed both new theory and methodology, most notably, for Robust Network Inference and Robust Variable Selection. His research is currently focused on Artificial Intelligence, Data Science, Network Inference, Feature Selection, and Biomarker Discovery.