TBD

Oishee Hoque
UVA CS

Time: 2026-04-08, 12:00 - 13:00 ET
Location: Rice 540 and Zoom

Abstract

Bio: Oishee Bintey Hoque is a Ph.D. candidate in Computer Science at the University of Virginia, specializing in Knowledge-Guided Machine Learning, Multimodal Understanding, and Remote Sensing. Her research focuses on developing large-scale datasets and machine learning frameworks that integrate domain knowledge to improve model interpretability, scalability, and performance across complex real-world systems. She has also interned at the USDA-NIFA/NSF AI Institute for Next Generation Food Systems, where she contributed to geospatial data processing and model benchmarking for benchmarking for agricultural AI. She is a recipient of the UVA School of Engineering and Applied Science Endowed Fellowship, awarded to outstanding doctoral students for research excellence.

Prior to joining UVA, Oishee worked as a Software Engineer at Enosis Solutions in Bangladesh. She received her B.Sc. in Computer Science and Engineering from Ahsanullah University of Science and Technology, Bangladesh.