Sewoong Oh
About
Sewoong Oh is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Previous to joining University of Washington in 2019, he was at the department of Industrial and Enterprise Systems Engineering at University of Illinois at Urbana-Champaign since 2012. He received his Ph.D. from the department of Electrical Engineering at Stanford University in 2011, under the supervision of Andrea Montanari. Following his Ph.D., he worked as a postdoctoral researcher at Laboratory for Information and Decision Systems (LIDS) at MIT, under the supervision of Devavrat Shah. Sewoong’s research interest is in foundations of machine learning in topics including differential privacy, secure and robust machine learning, and federated learning. He was co-awarded the ACM SIGMETRICS best paper award in 2015, NSF CAREER award in 2016, ACM SIGMETRICS rising star award in 2017, and GOOGLE Faculty Research Awards in 2017 and 2020.
Research Performance Summary
First Recorded Paper
High dynamic range image encoding for BrightSide display
Year: 2006
Citations: 8
Venue: Stanford Univ. Report, see http://www. stanford. edu/~ swoh/courses/PSYCH221
Latest Recorded Paper
Position: Can OpenAI be Truly" Open"? Open, Monetizable, and Loyal (OML) AI Is What You Need in a Fair and Sustainable Next-Generation AI Ecosystem
Year: 2025
Citations: 0
Venue: N/A
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.