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Dr. Na Zhao is a tenure-track Assistant Professor at the Singapore University of Technology and Design (SUTD) since August 2022. Dr. Zhao completed her Ph.D. in Computer Science at the National University of Singapore (NUS) in March 2021, and her thesis focused on learning scene semantics in 3D point clouds. Notably, her work won the IMDA Excellence Prize, awarded for outstanding Ph.D. thesis in the School of Computing at NUS. Dr. Zhao's research primarily intersects computer vision and machine learning. She specializes in scene understanding, which includes object detection and semantic segmentation. Furthermore, she explores machine learning challenges such as data-efficient learning, out-of-distribution learning, multi-modal learning, continual learning, and robust learning. Her research has been showcased in numerous top-tier computer vision and artificial intelligence conferences and journals.
Singapore University of Technology and Design • Singapore
Teaching and researching in the field of computer vision and machine learning.
National University of Singapore • Singapore
Conducted research in computer vision and machine learning.
This applies to PhD programs in Architecture and Sustainable Design (ASD), Engineering Product Development (EPD), Engineering Systems and Design (ESD), Information Systems Technology and Design (ISTD), Science, Mathematics and Technology (SMT), and Humanities, Arts and Social Sciences (HASS).