Proceedings of PReMI 2019 will be published by Springer in the Lecture Notes in Computer Science (LNCS), Volume Number: 11928.
Some of the extended versions of PReMI 2019 accepted papers will be published in the Topical Issue of Computational Biology and Biomedical Informatics, a Springer-Nature's Journal of Computer Science (SNCS).
|Professor Witold Pedrycz
Canada Research Chair,
IEEE Fellow, Fellow of the Royal Society of Canada,
Department of Electrical and Computer Engineering
University of Alberta, Edmonton, Canada
Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society.
His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data science, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing, and Software Engineering. He has published numerous papers in this area. He is also an author of 16 research monographs and edited volumes covering various aspects of Computational Intelligence, data mining, and Software Engineering.
Dr. Pedrycz is vigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Int. J. of Granular Computing (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.
|Professor Jayaram K. Udupa
Chief Professor of Radiological Science,
IEEE Fellow, Fellow of American Institute of Medical & Biological Engineering,
Perlman School of Medicine,
University of Pennsylvania, Philadelphia
Jayaram K Udupa is Chief Professor of Radiological Science at Perlman School of Medicine at the University of Pennsylvania. Udupa has been in the field of medical image science, image processing, and physics analysis of medical imaging and medical diagnostic procedures for over 30 years. Udupa was the first to transfer 3D visualization technology to the medical imaging industry. He is a Professor of Radiological Sciences and the Chief of the Medical Image Processing Group in the Department of Radiology at the University of Pennsylvania, Philadelphia. Udupa received his bachelor's degree in Electronics and Communications at Mysore University in Mysore, India and his Ph.D. in Computer Science at the Indian Institute of Science in Bangalore, India. He is known for his major contributions and MIPGs accomplishments in image processing (Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation) and its applications in various fields of science, medicine, and engineering. Dr. Udupa is vigorously involved in editorial activities. He is an Associate Editor of Computerized Medical Imaging and Graphics, IEEE Transactions on Information Technology in Biomedicine, and Area Editor of Computer Vision and Image Understanding.