Machine learning and data-driven technologies have shown great potential in bringing intelligent

autonomy to many Internet-of-Things and cyber-physical systems, such as self-driving cars, drones,

robotics, and industrial automation. For safe and correct operation in the real world, these new

capabilities require real-time guarantees: each intelligent task and their complex interactions must be

performed in a timely manner with predictable responses. Doing so effectively calls for innovative

approaches to real-time system design. To deal with high computational demands, heterogeneous

embedded hardware resources should be utilized more efficiently than before. Performance metrics like

throughput, latency, and energy consumption should be optimized by taking into account the temporal

relationship between tasks and exploiting application-level requirements. Real-time guarantees should

be preserved even under dynamic and uncertain environments. This talk will introduce our research

efforts to address challenges arising from intelligent data-driven workloads. I will provide an

illustration of our technical accomplishments and their potential in the context of autonomous systems.

Hyoseung Kim is an Associate Professor in the Department of Electrical and Computer Engineering at the

University of California, Riverside (UCR). He is also serving as the Chair of the Computer Engineering

Program at UCR. He received the PhD degree in Electrical and Computer Engineering from Carnegie

Mellon University in 2016, and the MS and BS degrees in Computer Science from Yonsei University,

Korea, in 2007 and 2005, respectively. His research interests are in real-time embedded and cyber-

physical systems, especially at the intersection of systems software, parallel computing platforms, and

analytical techniques. His lab aims to enable safe, predictable, and efficient computing under uncertain

environments, which is critical for the continued innovation and widespread usability of intelligent

autonomous technologies including self-driving cars, smart healthcare, and smart agriculture. His

research projects have been supported by NSF, ONR, DoD, DoJ, USDA/NIFA, etc. He is a recipient of the

NSF CAREER Award and the Fulbright Scholarship Award. His research contributions have been

recognized with Best Paper Awards at RTAS and RTCSA, and Best Paper Nominations at EMSOFT and

ICCPS. For more information, please visit https://www.ece.ucr.edu/~hyoseung/.