Prof Alex Jung obtained a Ph.D. (with sub auspiciis) in 2012 from Technical University Vienna. After Post-Doc periods at TU Vienna and ETH Zurich, he joined Aalto University as an Assistant Professor for Machine Learning in 2015. He leads the group “Machine Learning for Big Data,” which studies explainable machine learning in network structured data. Alex first-authored a paper that won a Best Student Paper Award at IEEE ICASSP 2011. He received an AWS Machine Learning Research Award and was the “Computer Science Teacher of the Year” at Aalto University in 2018. Currently, he serves as an associate editor for the IEEE Signal Processing Letters and as the chair of the IEEE Finland Joint Chapter on Signal Processing and Circuits and Systems (SP/CAS). His textbook “Machine Learning: The Basics” was published in 2022 by Springer, Singapore.
Dr Ivan Laptev is a senior researcher at INRIA Paris, team leader of the WILLOW project-team and head of scientific board at VisionLabs. He received a PhD degree in Computer Science from the Royal Institute of Technology in 2004 and a Habilitation degree from Ecole Normale Superieure in 2013. Ivan’s main research interests include visual recognition of human actions, objects and interactions, and more recently robotics. He has published over 100 technical papers most of which appeared in international journals and major peer-reviewed conferences of the field. He serves as an associate editor of IJCV, he has served as a program chair for CVPR’18, he will serve as a program chair of ICCV’23 and is a regular area chair for CVPR, ICCV and ECCV. He has co-organized several tutorials, workshops and challenges at major computer vision conferences. He has also co-organized a series of INRIA summer schools on computer vision and machine learning (2010-2013) and Machines Can See summits (2017-2021). He received an ERC Starting Grant in 2012 and was awarded a Helmholtz prize in 2017.
Prof Filiberto Pla received the B.Sc. and Ph.D. degrees in physics from the Universitat de Valencia, Spain, in 1989 and 1993, respectively. He is currently a Full Professor with the Departament de Llenguatges i Sistemes Informatics, University Jaume I, Castellon de la Plana, Spain. He has been a Visiting Scientist with the Silsoe Research Institute, the University of Surrey, the University of Bristol, U.K., CEMAGREF, France, the University of Genoa, Italy, the Instituto Superior Tecnico, Lisbon, Portugal, the Swiss Federal Institute of Technology, ETH-Zürich, the Idiap Research Institute, Switzerland, and the Technical University of Delft, The Netherlands. He is also a Faculty Member of the Institute of New Imaging Technologies, University Jaume I. His current research interests include color and spectral image analysis, visual motion analysis, 3-D image capture and visualization, and pattern recognition techniques applied to image processing. He is a member of the Spanish Association for Pattern Recognition and Image Analysis, which is a partner of the International Association for Pattern Recognition.
Prof Atanas Gotchev
Prof Alessandro Foi
Prof Mårten Sjöström
Dr Andreas Dahlin has experience both from the industry and academia, having worked in pharma for three years and becoming Assoc. Prof. at Uppsala University in 2017. During his time at Uppsala, Andreas got known as the go-to guy for illustrations, and started the Visualize Your Science course in 2011 due to popular demand. As interest in the course grew, Andreas saw an opportunity to teach full time, and left academia in 2016 to start his own company. Andreas is the resident expert in Blender and Affinity Designer.