Prof. Jo, Kang-Hyun,
University of Ulsan, South Korea
Title: Deep learning model development for aerial drones, 8.07.2021, 12.45
Prof. Jo, Kang-Hyun, Ph.D., is with the University of Ulsan as the professor in charge of Intelligent Systems Laboratory. He has served as the vice dean of e-Vehicle Graduate Institute and of College of Engineering, and currently the faculty dean of School of Electrical Engineering. He has cooperated with many universities and served as a director of societies like: ICROS, KMMS (Korea), SICE (Japan), and IEEE IES AdCom member and the secretary until 2019. He has been contributing as an (associate or guest) editor for a few renowned international journals like IJCAS, TCCI, IEEE IES TII, etc. Until now, he has published more than hundred technical papers with peer reviews. His research interests cover many practical applications of neural networks (including deep models) mainly in the area of video surveillance, human and object detection and classification from land and aerial vehicles, etc.
Dr. Sebastian Raschka
Title: Designing Generative Adversarial Networks for Privacy-enhanced Face Recognition, 8.07.2021, 18.15
Sebastian Raschka is an Assistant Professor of Statistics at UW-Madison focusing on machine learning and deep learning research (http://www.stat.wisc.edu/~sraschka/ ). Some of his recent research methods have been applied to solving problems in the field of biometrics for imparting privacy to face images. Other research focus areas include the development of methods related to model evaluation in machine learning, deep learning for ordinal targets, and applications of machine learning to computational biology. Among Sebastian’s other works is his book “Python Machine Learning,” which introduced people to the practical and theoretical aspects of machine learning around the globe with translations into German, Korean, Chinese, Japanese, Russian, Polish, and Italian.
Prof. Stamatis Karnouskos
Title: Sociotechnical Challenges in the era of Artificial Intelligence Systems, 9.07.2021, 12.45
Bio: Stamatis Karnouskos is with SAP in Germany, dealing with technology foresight, especially in the scope of industrial technologies and enterprise systems. He has extensive experience in industrial research and technology management. For more than twenty years, Stamatis has led efforts in several European Commission and industry-funded innovation projects related to industrial automation, smart cities, cloud-based services and architectures, software agents, security, and mobility. Stamatis has co-authored/edited several books relevant to the Industrial Internet of Things and Industrial Cyber-Physical Systems.
Dr. Ron Boring
Idaho National Laboratory, USA
Dr. Ronald L. Boring is a Distinguished Human Factors Scientist at Idaho National Laboratory, where he has led research projects for the U.S. Nuclear Regulatory Commission, NASA, the U.S. Department of Energy, the Canadian Nuclear Safety Commission, the Department of Defense, and the Norwegian Research Council. He first came to INL in 2003, then in 2008 went to Sandia National Laboratories, where he served as a senior member of the technical staff, Risk and Reliability Analysis department. He returned to INL in March 2010 and became manager of the Human Factors & Reliability Department in October 2019. He holds a doctorate in cognitive science from Carleton University in Ottowa, Canada, a master’s in experimental psychology from New Mexico State University and a bachelor’s in experimental psychology and German from University of Montana. He was a Fulbright Graduate Scholar in 1993-94 at Heidelberg University, where he did research on the cultural assimilation of eastern Germans following German reunification. He has broad experience as a lecturer and speaker, most recently in February 2020 as Invited President’s Forum Speaker at Embry-Riddle University.