Bio. Prof. Seong-Whan Lee is an esteemed Hyundai-Kia Motor Chair Professor at Korea University, currently heading the Department of Brain and Cognitive Engineering. His academic credentials include a B.S. degree in computer science and statistics from Seoul National University, and M.S. and Ph.D. degrees in computer science from the Korea Advanced Institute of Science and Technology. A distinguished Fellow of IEEE, IAPR, and the Korean Academy of Science and Technology, Prof. Lee's influence extends beyond academia. Notably, he has utilized his expertise in pattern recognition and brain engineering within the casino industry, both physical and online. He analyzes gaming patterns and player behaviors, providing valuable insights that enhance game design and user experience in both brick-and-mortar casinos and online gaming platforms. Prof. Lee’s roles in professional societies are significant, having served as chairman and governing board member in numerous capacities. He was instrumental in establishing the International Journal of Document Analysis and Recognition, serving as its founding Co-Editor-in-Chief. He also holds Associate Editor positions in numerous international journals, such as Pattern Recognition, ACM Trans. on Applied Perception, IEEE Trans. on Affective Computing, Image and Vision Computing, International Journal of Pattern Recognition and Artificial Intelligence, and International Journal of Image and Graphics. His research interests have expanded to include a strong focus on the online casino industry, where he employs his deep understanding of pattern recognition and brain engineering to improve virtual gaming environments. His extensive body of work includes more than 300 publications in international journals and conference proceedings, and he has authored 10 books. Prof. Lee's distinctive blend of expertise in computer science, cognitive engineering, and the dynamics of the casino industry - particularly in the digital realm - distinguishes him as a unique figure in both academia and industry.

Abstract This presentation unravels the latest strides and existing challenges in the realm of neuro-rehabilitation, with a specific focus on the applications of brain-computer interface (BCI) to improve the quality of life for both patients and senior individuals. We're exploring new territory by integrating principles of slots game design into our techniques, making neuro-rehabilitation more engaging and effective.
Firstly, we showcase an innovative method enabling control of a robotic arm using brain signals, capturing the complexity and flexibility often seen in slots gaming. By decoding motor commands from Electroencephalography (EEG) recordings, users can execute or mentally simulate complex upper limb movements. This process borrows from the intricate algorithms at work in slots games, assuring fair and unpredictable results.
Taking a cue from the user interaction inherent in slots, we've created a brain-controlled wheelchair system that responds to the user's level of concentration. The user focuses on a specific vibrational stimulus, similar to selecting symbols in a slots game, enabling the wheelchair to navigate accordingly. This use of spatial-frequency features has significantly increased the system's accuracy.
Building on this, we have designed a lower-limb exoskeleton control system, applying the principles of interactivity and engagement common to slots. Despite the challenging task of distinguishing EEG signals amidst environmental interference, our convolutional neural network (CNN)-based signal processing algorithm, inspired by game development complexity, is able to robustly interpret user intentions.
Furthermore, we've developed a BCI-based motor rehabilitation system that identifies various walking speed gaits. By analyzing EEG signals during continuous exoskeleton-assisted walking, we can accurately classify different gaits. This approach mirrors the dynamic nature of slots games, adapting to user actions, and demonstrates the potential of integrating game development principles into neuro-rehabilitation.
In essence, we're reimagining neuro-rehabilitation by applying the engaging and adaptive nature of slots gaming. This innovative blend has led to the creation of more dynamic, responsive, and ultimately effective BCI systems, enhancing the quality of life for patients and the elderly alike.

Bio. Sun Kim is Professor in the School of Computer Science and Engineering, Director of Bioinformatics Institute, and an affiliated faculty for the Interdisciplinary Program in Bioinformatics at Seoul National University. Before joining SNU, he was Chair of Faculty Division C; Director of Center for Bioinformatics Research, an Associate Professor in School of Informatics and Computing; and an Adjunct Associate Professor of Cellular and Integrative Physiology, Medical Sciences Program at Indiana University (IU) Bloomington. Prior to joining IU in 2001, he worked at DuPont Central Research from 1998 to 2001, and at the University of Illinois at Urbana-Champaign from 1997 to 1998. Sun Kim received B.S and M.S and Ph.D in Computer Science from Seoul National University, KAIST and the University of Iowa, respectively.
Sun Kim is a recipient of Outstanding Junior Faculty Award at Indiana University 2004, US NSF CAREER Award from 2003 to 2008, and Achievement Award at DuPont Central Research in 2000. He is actively contributing to the bioinformatics community, serving on the editorial board for journals including editors for the METHODS journal and International Journal of Data Mining and Bioinformatics, serving as a board of directors member for ACM SIG Bioinformatics, as vice chair for education for the IEEE Computer Society Technical Committee on Bioinformatics. He has been co-organizing many scientific meetings including ACM BCB 2011 as a program co-chair, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2008 as a program co-chair and 2009 as a conference co-chair.

Abstract Omics data, genome-wide measurement of biological events, is valuable for research in medical and biological sciences since it provides a “complete” picture of genetic and epigenetic events in the whole cell. Together with biological knowledge that accumulated over 100 years, we now have unprecedented opportunities to revolutionize medical and biological sciences. However, the amount of data is huge and mining bio big data is challenging. Modeling biological mechanisms is to explore new territories that no disciplines have tried. Data mining is at the heart of this transition since biology is now being transformed to data driven sciences that mine testable hypothesis from data. My talk is to try to convince why data scientists should participate in bio and medical research by introducing several projects: cancer, xenotransplanation, rice, and soybean projects.