Affiliation: Institute of Smart Systems Technologies, University of Klagenfurt, Austria 

Bio: KYANDOGHERE KYAMAKYA is currently a full professor of TRANSPORTATION INFORMATICS and deputy director of the INSTITUTE FOR SMART SYSTEMS TECHNOLOGIES at Universitaet Klagenfurt in Austria. He is actively conducting research involving modeling, simulation, and test-bed evaluations for a series of concepts amongst others in the context of Intelligent Transportation Systems. In the research addressing transportation systems, a series of fundamental and theoretical tools from the fields of applied mathematics, electronics, and computer science is either extensively exploited or source of inspiration for innovative solutions and concepts, including nonlinear dynamics, systems science, machine learning / deep learning, nonlinear image processing, and neurocomputing. He has co-edited more than 6 books, has published more than 100 journal papers and some hundreds conference papers.

Website:  https://www.aau.at/en/team/kyamakya-kyandoghere/

Affiliation: Faculty of Science and Technology, Department of Data Science, Norwegian University of Life Sciences (NMBU), Norway 

Bio: Fadi Al Machot received the M.S. degree in computer science from the University of Potsdam, Potsdam, Germany,  in 2010, the PhD in computer science from the University of Klagenfurt, Klagenfurt, Austria, in 2013, and the Habilitation in applied computer science from the University of Lübeck, Lübeck, Germany, in 2020. From 2013 to 2016, he was a postdoctoral researcher at the University of Klagenfurt, Klagenfurt, Austria. From 2016 to 2020, he was a senior data scientist at Leibniz-Lung Center, Borstel (FZB), Germany. He works as an Associate Professor in machine learning at the Norwegian University of Life Sciences (NMBU), Norway. His research interests include deep learning, neural-symbolic learning, video understanding, cognitive modeling, and zero/few-shot learning. He patented and published more than 60 papers in peer-reviewed international conferences and journals. He actively reviews well-known IEEE, ACM, and Springer journals.

Website:  https://www.nmbu.no/ans/fadi.al.machot
Website:  https://my.visualcv.com/fadialmachot/ 

Affiliation: Faculty of Science and Technology, Norwegian University of Life Sciences (NMBU), Norway 

Bio:  HABIB ULLAH received the M.S. degree in electronics and computer engineering from Hanyang University, Seoul, South Korea, in 2009, and the Ph.D. degree in information and communication technology from the University of Trento, Trento. Italy, in 2015. From 2015 to 2016, he was an Assistant Professor of electrical engineering with COMSATS University Islamabad, Wah Campus, Pakistan. From 2016 to 2020, he was an Assistant Professor with the College of Computer Science and Engineering, University of Ha’il, Ha’il, Saudi Arabia. In 2020, he was a Postdoctoral Researcher with The Arctic University of Norway, Tromsø, Norway. He is currently an Associate Professor with the Norwegian University of Life Sciences, Ås, Norway. His research interests include computer vision and machine learning.

Website:   https://www.nmbu.no/ans/habib.ullah 

Affiliation: Department of Electrical Engineering and Computer Science, University i Stavanger, Norway

Bio:  Florenc Demrozi, PhD in computer science, IEEE and IFIP WG10-5 member, received the B.S. and M.E. degrees in Computer Science and Engineering from the University of Verona, Italy, respectively in 2014 and 2016, and the Ph.D. degree in Computer Science from University of Verona, Italy, in 2020. He is currently an Associate Professor in Biomedical Engineering at the Department of Electrical Engineering and Computer Science, University of Stavanger, Norway, working on Human Activity Recognition (HAR), Ambient Assisted Living (AAL), Internet of Medical Things (IoMT), Sensors and Measurements. 

Website:  https://www.uis.no/nb/profile/florenc-demrozi
Website:  https://sites.google.com/view/florencdemrozi