Program Committee
Morten Goodwin
Professor and Director of CAIR, University of Agder
Morten Goodwin received the B.Sc. and M.Sc. degrees from the University of Agder, Norway, in 2003 and 2005, respectively, and the Ph.D. degree from Aalborg University Department of Computer Science, Denmark, in 2011, on applying machine learning algorithms on eGovernment indicators which are difficult to measure automatically.
He is a Professor with the Department of ICT, the University of Agder, deputy director for Centre for Artificial Intelligence Research, a public speaker, author, and an active researcher.
His main research interests include machine learning, including swarm intelligence, deep learning, and adaptive learning in medicine, games, and chatbots. He has more than 100 peer reviews of scientific publications. He has supervised more than 110 student projects, including Master and Ph. D. theses within these topics, and more than 90 popular science public speaking events, mostly in Artificial Intelligence, and recently authored the popular science book “AI. Myten om maskinene»
Ana Ozaki
Associate Professor, University of Bergen
Ana Ozaki is an associate professor at the University of Bergen, Norway. She is an AI researcher in the field of knowledge representation and reasoning and in learning theory. Ozaki is interested in the formalisation of the learning phenomenon so that questions involving learnability, complexity, and reducibility can be systematically investigated and understood. Her research focuses on learning logical theories formulated in description logic and related formalisms for knowledge representation. She is the principal investigator of the project Learning Description Logic Ontologies funded by RCN.
Anne Håkansson
Professor, UiT The Arctic University in Norway
Anne Håkansson is professor in computer science with a focus on Artificial Intelligence, UiT The Arctic University of Norway. She is also Professor II at NTNU, Trondheim, Norway and docent in computer science at KTH Royal Institute of Technology Sweden. Professor Håkansson has more than 25 years of experience in the AI field, giving her broad knowledge in several AI areas. Her research interests lie in decision-making and reasoning strategies, and visualizing and explanation, in particular, negotiation between systems and agents. She has worked with KBS, meta-agents in MAS, and is currently working with CPS in the transportation sector, Industry 4.0 and Smart Cities and Societies with automated smart products and services. Anne Håkansson is the chair of Computational Analytics and Intelligence (CAI) research group at UiT, Tromsø which includes several different groups as UiT, Norway. She is working in the gender balance project at NTNU, Trondheim, Norway and KTH Live-In Lab project at KTH, Stockholm. She is the author and co-author of several books, proceedings and international publications and serves in technical program committees of international top conferences IJCAI and AAAI as well as general track chair for KES international conferences. She is a frequently engaged speaker for Artificial Intelligence and popular science and has been an ambassador for Uppsala municipality, Sweden.
Katalin Blix
Research Fellow, UiT The Arctic University of Norway
Katalin Blix received a B.Sc. degree in Geosciences (2010) from the Western Norway University of Applied Sciences, and a Civil engineer/ M.Sc. (2014) and Ph.D. (2019) degrees from the Department of Physics and Technology at the UiT the Arctic University of Norway. She is currently a research fellow at the Department of Physics and Technology, UiT the Arctic University of Norway.
Blix’s research interests include machine learning algorithm development for regression, classification and feature relevance extraction; kernel machines, Bayesian statistics, and applications to remotely sensed data, such as bio-geochemical and sea ice parameter retrievals.
Blix is an active member of the Sentinel-3 validation team (since 2016) and Association of Polar Early Career Scientists (since 2019). She was the recipient of the 2017 Arctic Frontiers Outstanding Poster Award Overall Winner, the CIRFA 2017 Best Poster Award and the International Ocean Color Science (IOCS) 2019 travel grant awarded by EUMETSAT.
Klaus Johannsen
Chief Scientist, NORCE
Klaus Johannsen received his master's degree in theoretical physics from University of Hamburg, Germany in 1992 and his PhD in applied mathematics from Heidelberg University, Germany in 1999. During his PhD period and his post-doc time until 2006 he worked in the interdisciplinary field of scientific computing with environmental scientists from ETH Zurich, Switzerland, TU Delft, Netherland, TU Eindhoven, Netherlands and UT Austin, TX, USA. In 2005 he obtained his professorial degree (habilitation) from Heidelberg University. In 2005 and 2006, he has been assistant professor for mathematics at the Heidelberg University, during 2006 until 2009 adjunct professor for mathematics at Bergen University, Norway. From 2006 until 2019 he worked for the research company Uni Research AS in different roles (chief scientist, group leader, department director). In 2015 he created the Center for Big Data Analysis at Uni Research and operated it until 2019. Since 2019 he is chief researcher at the Norwegian Research Center AS. He is author of 40 scientific publications and supervised 2 master, 2 PhD students and one post-doctoral fellow. He is currently active in the field of data science and machine learning, with focus on uncertainty estimation.
Mina Farmanbar
Associate Professor at the University of Stavanger
Mina Farmanbar is an associate professor in Computer Science with the focus on Machine Learning applications at the University of Stavanger (UiS), Norway. She received the M.Sc. and PhD degrees from the Eastern Mediterranean University, Cyprus, in 2012 and 2016, respectively, on information and network security and biometrics. She has been an active researcher at UiS and Akershus University Hospital since 2017. Currently, her research interests lie in data science, machine learning applications in particular, time series analysis and load forecasting.
Stefano Nichele
Professor in the Machine Learning group at the Østfold University College
Stefano Nichele holds a PhD in Computer Science from the Norwegian University of Science and Technology (NTNU). Currently, he is a Professor in the Machine Learning group at the Østfold University College (Halden) and an Adjunct Professor at the Oslo Metropolitan University (Oslo). Nichele’s research interests are at the intersection of Artificial Intelligence (AI), Complex Systems (CS), and Artificial Life (ALife). He is IEEE Senior Member.