Plenary and Keynote Speakers
8th International Conference on Machine Vision and Machine Learning (MVML’22)
We are pleased to announce our Plenary and Keynote Speakers for 8th International Conference on Machine Vision and Machine Learning (MVML'22):
Dr. Garrison W. Cottrell
University of California, San Diego, USA
Garrison W. (Gary) Cottrell is a Professor of Computer Science and Engineering and the Director of the Interdisciplinary Ph.D. Program in Cognitive Science at UC San Diego. He was a founding PI of the Perceptual Expertise Network, and directed the Temporal Dynamics of Learning Center, an NSF-sponsored Science of Learning Center comprised of 40 PIs at 18 institutions in 4 countries. Professor Cottrell’s research is strongly interdisciplinary. His main interest is Cognitive Science and Computational Cognitive Neuroscience. He focuses on building working models of cognitive processes, and using them to explain psychological, developmental or neurological processes. In recent years, he has focused on anatomically-inspired deep learning models of the visual system. He has also worked on unsupervised feature learning (modeling precortical and cortical coding), face & object processing, visual salience, and visual attention. His other interest is applying AI to problems in other areas of science or engineering. Most recently he has been using deep learning to elucidate the structure of small (natural product) molecules from their NMR spectra in collaboration with Bill Gerwick at the Scripps Institute of Oceanography. He received his PhD in 1985 from the University of Rochester under James F. Allen (thesis title: A connectionist approach to word sense disambiguation). He then did a postdoc with David E. Rumelhart at the Institute of Cognitive Science at UCSD until 1987, when he joined the CSE Department.
Topic of Keynote: The Model 2.0: An Anatomically-Inspired Model of the Primate Visual System
Dr. KC Santosh
University of South Dakota, USA
Professor KC Santosh, Ph.D. is Chair of the Department of Computer Science at the University of South Dakota (USD). He also serves International Medical University as an Adjunct Professor (Full). Before joining USD, he worked as Research Fellow at the US National Library of Medicine (NLM), National Institutes of Health (NIH). He was Postdoctoral Research Scientist at the Loria Research Centre (with industrial partner, ITESOFT (France)). He has demonstrated expertise in artificial intelligence, machine learning, pattern recognition, computer vision, image processing, and data mining with applications- such as medical imaging informatics, document imaging, biometrics, forensics and speech analysis. His research projects are funded (of more than $2m) by multiple agencies, such as SDCRGP, Department of Education, National Science Foundation, and Asian Office of Aerospace Research and Development. He is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD, 2021), the President’s Research Excellence Award (USD, 2019), and the Ignite from the U.S. Department of Health & Human Services (2014). More info.: http://kc-santosh.org
Topic of Keynote: AI For Medical Imaging Informatics: Where Have We Missed Explainability?
Dr. Gerhard Wunder
Freie Universität Berlin, Germany
Gerhard Wunder studied electrical engineering and received his graduate degree in electrical engineering (Dipl.-Ing.) from TU Berlin with highest honors in 1999. He received the PhD degree (Dr.-Ing.) with distinction (summa cum laude) in 2003 from TU Berlin and became a research group leader at the Fraunhofer Heinrich-Hertz-Institut in Berlin. In 2007, he also received the habilitation degree (venia legendi) and became a Privatdozent (Associate Professor). In this period, he was a visiting professor at the Georgia Institute of Technology (Prof. Jayant) in Atlanta (USA, GA), and the Stanford University (Prof. Paulraj) in Palo Alto/USA (CA). In 2009 he was a consultant at Alcatel-Lucent Bell Labs (USA, NJ), both in Murray Hill (Prof. Stolyar) and Crawford Hill (Dr. Valenzuela). In 2015, he has become Heisenberg Fellow, granted for the first time to a communication engineer, and extraordinary professor heading the Heisenberg Communications and Information Theory (Heisenberg CIT Group) at the FU Berlin. Since 2021 he is a professor for Cybersecurity and AI at FU (Stiftungsprofessur Bundesdruckerei GmbH). Very recently, he has been nominated together with Dr. Müller (BOSCH Stuttgart) and Prof. Paar (Ruhr University Bochum) for the Deutscher Zukunftspreis 2017 on behalf of the PROPHYLAXE project.
Topic of Keynote: How to Provably Generate Differentially-Private Synthetic Data