Programkomité
Morten Goodwin
Professor, Universitetet i 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
Førsteamanuensis, Universitetet i 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.
Klaus Johannsen
Sjefsforsker, 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.
Samia Touileb
Førsteamanuensis, Universitetet i Bergen
Leonora O. Bergsjø
Førsteamanuensis, Universitetet i Agder
Stefano Nichele
Professor, Høgskolen i Østfold
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.
Mina Farmanbar
Førsteamanuensis, Universitetet i 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.