Prof. Andrew Barto (University of Massachusetts, USA)

Andrew Barto is Professor Emeritus of Computer Science, University of Massachusetts, Amherst, having retired in 2012. He served as Chair of the UMass Department of Computer Science from 2007 to 2011. He received his B.S. with distinction in mathematics from the University of Michigan in 1970, and his Ph.D. in Computer Science in 1975, also from the University of Michigan. He joined the Computer Science Department of the University of Massachusetts Amherst in 1977 as a Postdoctoral Research Associate, became an Associate Professor in 1982, and has been a Full Professor since 1991. He is Co-Director of the Autonomous Learning Laboratory and an Associate Member of the Neuroscience and Behavior Program of the University of Massachusetts. His research centers on learning in natural and artificial systems, and he has studied machine learning algorithms since 1977, contributing to the development of the computational theory and practice of reinforcement learning. He currently serves as an associate editor of Neural Computation, as a member of the Advisory Board of the Journal of Machine Learning Research, and as a member of the editorial boards Adaptive Behavior and Frontiers in Decision Neuroscience. Professor Barto is a Fellow of the American Association for the Advancement of Science, a Fellow and Senior Member of the IEEE, and a member of the Society for Neuroscience. He received the 2004 IEEE Neural Network Society Pioneer Award for contributions to the field of reinforcement learning, and the IJCAI-17 Award for Research Excellence for groundbreaking and impactful research in both the theory and application of reinforcement learning. He has published over one hundred papers or chapters in journals, books, and conference and workshop proceedings. He is co-author with Richard Sutton of the book "Reinforcement Learning: An Introduction," MIT Press 1998, which has received over 24,000 citations.

Prof. Leo Joskowicz (Hebrew University of Jerusalem, Israel)

Leo Joskowicz is a Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel. He is the founder and director of the Computer-Aided Surgery and Medical Image Processing Laboratory (CASMIP Lab). Prof. Joskowicz is a Fellow of the IEEE and ASME and is the recipient of the 2010 Maurice E. Muller Award for Excellence in Computer Assisted Surgery by the International Society of Computer Aided Orthopaedic Surgery and the 2007 Kaye Innovation Award. He has published over 250 technical works including conference and journal papers, book chapters, and editorials. He is a member of the Board of Directors of the MICCAI Society (Medical Image Processing and Computer Aided Intervention) and has served on numerous related program committees. He is on the Editorial Boards of six journals, including Medical Image Analysis, Int. J. of Computer Aided Surgery, Computer Aided Surgery, and Nature Scientific Reports. He is the Co-Chair of the MICCAI 2020 conference in Lima, Peru.

Prof. Reinhard Klette (Auckland University of Technology, New Zealand)

Prof. Reinhard Klette (Auckland University of Technology, Fellow of the Royal Society of New Zealand) made significant contributions to digital geometry and computer vision. He is the director of the Centre for Robotics & Vision (CeRV). In 2003 he co-authored the first comprehensive monography on digital geometry. He has become internationally renouned for his work in vision-based driver assistance since 2006, with important contributions on performance evaluation and improvements of correspondence algorithms (for stereo matching and optical flow) on real-world video data, supporting, for example, 3D scene reconstruction from a mobile platform. In 2008 he co-authored a research monograph on panoramic vision, in 2011 a research monograph on shortest paths in Euclidean spaces, and in 2017 a research monograph on vision-based driver assistance. His book entitled “Concise Computer Vision” has been published by Springer, London (UK), in 2014. He was an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence between 2001 and 2008. He is a steering committee member of the biennial conferences on Computer Analysis of Images and Patterns and of the Pacific-Rim Symposium on Image and Video Technology. Professor Klette supervised 27 PhD students (several of those from China) to the successful completion of their PhD program.

Jesús Savage Carmona, PhD (Bio-Robotics Laboratory, Mexico)

Ph.D., Electrical Engineering, University of Washington, Seattle, WA, 1995.
M.S., Electrical Engineering, National Autonomous University of Mexico,UNAM, 1990.
Master Thesis Developed at The University of California, Santa Barbara, CA.
B.S., Computer Engineering, National Autonomous University of Mexico,UNAM, 1985.
Full time Professor, Dept. of Electrical Engineering, National Autonomous University of Mexico, UNAM.
Chair of the Signal Processing Department, UNAM, from 2004-2009.
Chair of the Eng. Computer Department, UNAM, from 1996 to 2004.
Research Associated in the Human Interface Technology Laboratory (HITL) University of Washington, Seattle, WA, 1991-1995
1993-1995 Teacher Assistant, Dept. of Electrical Engineering, University of Washington, Seattle, WA.
1983-1989 Graduate Research Assistant, Dept. of Electrical Engineering, University of Mexico, UNAM.
Founder of the Bio-Robotics Laboratory at the UNAM (2003) in which research on Human Machine Interfaces (speech and vision), Mobile Robots and their simulations using virtual environments,
President of the Robotics Mexican Federation from 2010 to 2012.
Chair of RoboCup 2012 in Mexico City.
Fulbright scholar from 1990 to 1995.

Prof. Sajjad Mohsin (University of Islamabad, Pakistan)

Sajjad Mohsin is the Dean at Faculty of Computing and Technology, University of Islamabad, Pakistan. Over 30 years of experience in the field of IT, with the rare combination of Industry and Academia. He has over 16 years of experience in the field of Artificial Intelligence. Some of the AI techniques that he has developed/supervised/implemented are: Learning (Supervised, Unsupervised, Reinforce and Deep Learning), Genetic Algorithms, Fuzzy Clustering, Particle Swarm Optimization and Artificial Bee Colony. He has intelligently applied these in the area of Pattern Recognition, Prediction, Optimization, Gamification, Image Processing and Face Recognition. He has developed, coordinated and implemented the curricula for Computer Science Course accredited by Lancaster University, UK Academic Board and taught at Pakistan. Initiated, changed and drafted the CS & Software Engineering Curricula for ABET Accreditation across the seven campuses of COMSATS Institute of Information Technology, Pakistan. He Introduced the MS degree in Health Informatics (the first ever in Pakistan), developed its curricula and launched the project that is running successfully for the last 7 years. He has experience in grants, their management, and project management. He did manage over 1000+ personal including professors, and technical staff. He is also adjunct professor at Austin Community College Texas USA.