KEYNOTE SPEAKERS

Prof. Jo, Kang-Hyun,

University of Ulsan, South Korea

Title: Deep learning model development for aerial drones, 8.07.2021, 12.45

Bio: 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

UW-Madison, USA

Title: Designing Generative Adversarial Networks for Privacy-enhanced Face Recognition, 8.07.2021, 18.15

Bio: 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

SAP, Germany

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

Title: Has HSI Outgrown the Human? Toward the Future of Human-Centric Intelligent Interfaces, 9.07.2021, 18.15

Abstract: With rapid advances in intelligent user interfaces, machine learning, and automation, system developers are reaching the point where we are able to design the human out of the system. This poses an existential challenge for the field of human-system interaction, when the role of the human user is displaced by technology. The gradual mechanization of human tasks is as ancient as our species, but the ubiquitous elimination of the human user is a new phenomenon. Is there still a need for human-system interfaces when there is no need for the human? What should future interfaces look like? What functions do interfaces serve? In this talk, Dr. Ron Boring, a cognitive scientist from Idaho National Laboratory, will present a human-centric view of the need for humans to remain in the loop even as technology advances. The human interface will emerge as the grand challenge of intelligent systems.

Bio: Ronald Laurids Boring, Ph.D., FHFES, is a Distinguished Scientist and Department Manager for the Human Factors and Reliability Department at Idaho National Laboratory. Dr. Boring 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 previously worked as a human reliability researcher at Sandia National Laboratories, a usability engineer for Microsoft Corporation and Expedia Corporation, a guest researcher in human-computer interaction at the National Research Council of Canada, and a visiting human factors scientist at OECD Halden Reactor Project. He and his research team developed the Guideline for Operational Nuclear Usability and Knowledge Elicitation (GONUKE) for conducting human factors in support of nuclear technologies, the Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) dynamic human reliability framework, and the Advanced Nuclear Interface Modeling Environment (ANIME) for prototyping digital interfaces in nuclear power environments. He is the founder of the Human Systems Simulation Laboratory. Dr. Boring has a Ph.D. in Cognitive Science from Carleton University.  He was a Fulbright Academic Scholar to the University of Heidelberg, Germany.  He has published over 300 research articles in a wide variety of human reliability, human factors, and human-computer interaction forums.  He is the Chair for the Annual Meeting of the Human Factors and Ergonomics Society.

Host and Moderator: Prof. Milos Manic, FIEEE

Dr. Manic is a Professor with Computer Science Department at Virginia Commonwealth University. He has over 20 years of academic and industrial experience. His previous positions include tenured positions with University of Idaho, director of the Computer Science Program at Idaho Falls, University of Nis, Serbia, and a Fellow of the Brain Korea 21 Program. He has completed over 30 research efforts in the area of data mining and machine learning applied to energy optimization, resilient control, and human-machine interaction. Dr. Manic has given over 30 invited talks around the world, authored over 180 refereed articles in international journals, books, and conferences, holds several U.S. patents and has won 2018 R&D 100 Award. Dr. Manic is an IEEE Industrial Electronics Society (IES) Officer and is a member of various standing and technical committees and boards of this Society. He is also involved in various capacities in Technical Committees on Education, Industrial Informatics, Factory Automation, Smart Grids, Standards, and Web and Information Committee, and is a co-founder and past chair of Technical Committee on Resilience and Security in Industry, and a general chair of IEEE IECON 2018, IEEE HSI 2019, and a general co-chair of IEEE HSI 2021.