Aayam K. Shrestha is a researcher specializing in humanoid robotics and reinforcement learning with a focus on multi-modal integration for physical intelligence. He received his Ph.D. in Computer Science from Oregon State University in 2024 under the supervision of Alan Fern, and his B.S. in Computer Engineering from Tribhuvan University in 2016 as valedictorian. His research lies at the intersection of high-level reasoning and low-level control in humanoid robotics, developing robust control architectures that enable robots to learn from and work alongside humans.
Chanho Kim is an Assistant Professor (Senior Research) in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on computer vision with applications to real-world robotics. In particular, he is interested in 3D world modeling by learning physics from real-world videos and applying it to robotic systems. He received his Ph.D. from Georgia Tech, where he worked on multi-object tracking in videos, and later continued at Oregon State as a postdoctoral scholar and research associate developing 3D point cloud models.
Matthew earned B.S. degrees in Computer Engineering and Mathematics from the University of Nebraska–Lincoln in 2020, followed by an M.S. in Telecommunications Engineering in 2022. He went on to complete his Ph.D. in Engineering, specializing in Computer Engineering, while also developing Ecampus ECE courses for Oregon State. His teaching and course development experience includes embedded systems, circuit board design, computer networks, assembly language programming, and firmware development.
Sangmin Yoo received his B.S. in Semiconductor Systems Engineering from Sungkyunkwan University in South Korea in 2016 and his Ph.D. in electrical and computer engineering from the University of Michigan at Ann Arbor in 2024. He joined the School of EECS in Oregon State University in March 2025. Before joining Oregon State University, he was with Samsung Semiconductor Research from 2016 to 2019 and imec USA from 2024 to 2025. His research interest spans AI hardware and systems for in-memory computing, neuromorphic computing, and machine learning.
To speed up diagnosis of rare diseases and expedite access to treatment, a team of Oregon State University students and faculty, and a rare disease expert at the Institute for Systems Biology in Seattle, have created a chatbot for medical professionals. Instead of spending hours poring over journal articles, doctors can ask the chatbot to provide a succinct answer backed up by verified sources.
