Prof. Antanas Verikas,
Halmstad University, Sweden
About Prof. Antanas Verikas: He was awarded a PhD degree in pattern recognition from Kaunas University of Technology, Lithuania. Currently he is holding a professor position at both Halmstad University Sweden, where he leads the Department of Intelligent Systems, and Kaunas University of Technology, Lithuania. His research interests include image processing, computer vision, pattern recognition, learning systems, classification, fuzzy logic, and visual media technology. He published more than 150 peer reviewed articles in international journals and conference proceedings and served as Program committee member in numerous international conferences. He is a member of the International Pattern Recognition Society, European Neural Network Society, International Association of Science and Technology for Development, and a member of the IEEE.
Prof. Petia Radeva,
University of Barcelona, Spain
Dr. Petia Radeva (PhD 1993, Universitat Autonoma de Barcelona, Spain) is a senior researcher and associate professor at UB. She received her Ph.D. degree from the Universitat Autonoma de Barcelona in 1998. Her present research interests are on development of learning-based approaches (in particular, statistical methods) for computer vision. She has led one EU project and 12 Spanish projects, 14 patents in the field of computer vision and medical imaging applied to health. Dr. Petia Radeva has published more than 80 SCI-indexed articles and more than 150 international publications. She has an H-index of 29 with 3166 citations. Dr. Petia Radeva was awarded the prize of "Antoni Caparros" for best technology transfer project of University of Barcelona (2013) and the prize of "Jaume Casademont" (2012) for her research activities in the field of lifelogging.
Prof. Dr. Petra Perner (IAPR Fellow)
Institute of Computer Vision and Applied Computer
Petra Perner is the director of the Institute of
Computer Vision and Applied Computer Sciences in
Leipzig, Germany. Under her leadership the institute
developed to one of the leading institutes in basic and
applied research in computer vision, data mining,
machine learning, case-based reasoning and image
She received a diploma degree in electrical engineering and a PhD degree in computer science. Her PhD thesis is about "Data Reduction Methods for Industrial Robots with Direct Teach-in-Programing" and her habilitation thesis is about "A Methodology for the Development of Knowledge-Based Image-Interpretation Systems".
Under her guidance highly qualified national and international personnel got trained in the above mentioned high-technology fields through research projects and education programs.
The tutorial on Data Mining ( www.data-mining-tutorial.de) is a recognized tutorial among the domain experts and is especially designed for training industrial people on hot topics in data mining. She gave courses on Data Mining and Image Interpretation at different universities in various countries.
For her contributions to image interpretation by developing methods for case-based reasoning, machine learning and data mining, she was awarded as IAPR Fellow in 2006.
More on: http://www.ibai-research.de/vita.php
Russia Academy of Science, Russia
Dmitry Nikolaev was born in Moscow, Russia. He obtained his Master degree (in physics) in 2000 and Ph.D. degree (in computational methods of image processing) in 2004 from Moscow State University. Since 2007 he is a head of the Vision Systems Lab. at the Institute for Information Transmission Problems, RAS. His research activities are in the areas of computer vision with primary application to color image understanding. Since 2005 he gives a course “Image processing” in the Moscow Institute of Physics and Technology, take up an appointment of Assoc. Prof in 2008. At 2015 he has more than 120 publications.
Prof. Alexander Bernstein,
Skolkovo Institute of Science and Technology (Skoltech),
Moscow, Russia Federation