RTMM 2024 

Seungchul Lee is an invited professor at the School of Computing, KAIST. He received his Ph.D. in computer science from KAIST in 2023. His research interest covers broad areas of mobile and IoT computing, pervasive computing, wearable and earable computing, and social computing. He is a recipient of the Best Demo Award in ACM MobiSys 2019 and a nominee of the Best Presentation Award in ACM UbiComp 2020.

Hyungchai Park is the Research Director at the Stanford Center at the Incheon Global Campus (SCIGC), Stanford University’s flagship research center in South Korea. SCIGC conducts interdisciplinary, university-wide research focused on achieving smart city implementation. Among the four research pillars of SCIGC, he leads the "Vehicle & Infrastructure Systems" pillar, which applies data-driven approaches to analyze urban systems and develops technologies for both vehicles and infrastructures with the goal of improving the efficiency, safety, and sustainability of the urban systems. He earned his Ph.D. in Mechanical Engineering from Stanford University in 2017. His doctoral thesis focused on developing integrated chassis control systems designed to improve vehicle stability and maneuverability under adverse driving conditions. Following his graduation, he worked as a Senior Control Engineer for an automotive startup in Silicon Valley, where he contributed to the development of vision analysis and advanced driver-assistance systems (ADAS).

François Rameau is an Assistant Professor at the CS department of the State University of New York (SUNY) in Korea. He received his Ph.D. in Vision and Robotics from the University of Burgundy (France) in 2014. Following his Ph.D., Dr. Rameau joined the Korea Advanced Institute of Science and Technology (KAIST) in South Korea, initially as a postdoctoral researcher and later as a Research Professor under the KRF fellowship program (2017-2023). His research interests focus on 3D Computer Vision, Machine Learning, and Collaborative Robotics. Dr. Rameau has a distinguished research track record, with numerous publications in top-tier venues.

Prof. Yoon-Seok Yang holds the position of assistant professor in the Department of Computer Science at SUNY Korea. He previously worked as a Tensor Processing Unit (TPU) silicon and research engineer at Google in Sunnyvale, California. Before joining Google, he served as a research scientist at the Neuromorphic Computing Lab at Intel Labs in Santa Clara, California from 2012 to 2022, with a research focus on neuromorphic computing systems and AI chip design. Prof. Yang holds a Ph.D. in electrical and computer engineering from Texas A&M University, College Station, USA. His research interests include neuromorphic computing, neuromorphic computing algorithms and applications, neuromorphic vision systems using event-based vision sensors, and neuromorphic chip design for on-device AI systems.

Sung-Ju Lee earned his Ph.D. in Computer Science from the University of California, Los Angeles (UCLA) in 2000. He started his industry career at the Hewlett-Packard Company, serving as a Principal Research Scientist and Distinguished Mobility Architect. Subsequently, he was a Principal Member of Technical Staff at the CTO Office of Narus, Inc. In 2015, Dr. Lee transitioned to KAIST, where he holds the KAIST Endowed Chair Professorship. His research spans the area of mobile computing, wireless networking, ubiquitous sensing, mobile AI, and human-computer interactions. His research has been presented in esteemed conference venues in diverse computing research fields, including MobiCom, MobiSys, NeurIPS, CVPR, EMNLP, CHI, INFOCOM, CoNext, SenSys, UbiComp, UIST, CSCW, ICDCS, NDSS, and IMC. Additionally, he holds 51 granted US patents. Dr. Lee received the HP CEO Innovation Award in 2010 for his pivotal role in bringing innovative products to market. He has also been honored with the test-of-time paper award at ACM WiNTECH 2016, the best paper awards at IEEE ICDCS 2015 and ACM CSCW 2021, and the methods recognition award at ACM CSCW 2021. Additionally, he received the Technology Innovations Award from KAIST. Dr. Lee was the General Chair of ACM MobiCom 2014 and co-TPC Chair of IEEE INFOCOM 2016 and ACM MobiCom 2021. He is an IEEE Fellow and an ACM Distinguished Scientist. 

Jun Han is an Associate Professor in the School of Computing at KAIST. He leads the Cyber-Physical Systems and Security (CyPhy) Lab. Prior to joining KAIST, he had an appointment at the Department of Computer Science, School of Computing at the National University of Singapore, and the School of Electrical and Electronic Engineering at Yonsei University. His research interests are in the intersection of sensing systems and security, and focus on utilizing contextual information for security applications in the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS). He obtained his Ph.D. in Electrical and Computer Engineering at Carnegie Mellon University. He received M.S. and B.S. degrees from the ECE Department at CMU in 2007 and 2006, respectively.

JeongGil Ko is an associate professor in the School of Integrated Technology, College of Computing and the Department of Biomedical Systems Informatics, College of Medicine at Yonsei University, Seoul, Korea. He is also an adjunct professor at the Pohang University of Science and Technology (POSTECH) Graduate School of Artificial Intelligence, and is a Guest Professor at Keio University Graduate School of Media and Governance, Japan. From 2022 to 2024, JeongGil has and served a two-year term as the Associate Vice President for Information and Communications at Yonsei University. JeongGil received his B.Eng. in Computer Science and Engineering from Korea University (2007) and received his Ph.D. in Computer Science from the Johns Hopkins University (2012) and was with the Department of Computer Science, Stanford University as a visiting researcher in 2010. Prior to joining Yonsei, he was a senior researcher at the Electronics and Telecommunications Research Institute (ETRI) from 2012 to 2015 and was an assistant professor at the Department of Software and Computer Engineering at Ajou University (2015-2019). He is a recipient of the Abel Wolman Fellowship awarded by the Whiting School of Engineering at the Johns Hopkins University and a senior member of the ACM and IEEE. JeongGil has served on the program committee for many top conferences in the mobile and ubiquitous computing field (ACM MobiCom, MobiSys, SenSys, IEEE PerCom in particular), was the technical program chair for ACM UbiComp 2022 and the general chair for ACM MobiSys 2024. He also serves on the editorial board for renown academic journals including the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) , IEEE Transactions on Mobile Computing (TMC), and IEEE Transactions on Quantum Engineering (TQE). JeongGil's research interests are in the general area of developing mobile/embedded sensing systems and applications with ambient intelligence.

Kang Min Bae is a postdoctoral researcher at the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), under the continued supervision of Professor Song Min Kim. He earned his Ph.D. in Electrical Engineering from KAIST in 2024. Dr. Bae won the ACM MobiSys Best Paper Award in both 2022 and 2024, with his work selected as SIGMOBILE Research Highlights. His research interests include Millimeter Wave Backscatter and Low-power Sensor Networks .