Scholar
Suraj Kothawade
Google Scholar ID: epbGOYkAAAAJ
Google
Citations & Impact
Citations
750
H-index
13
i10-index
16
Publications
20
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at NeurIPS 2024, WACV 2024, ACL 2023 (Long Paper), ECCV 2022, ICML 2022, etc.; presented a demo at IEEE Intelligent Vehicles Symposium IV 2022; awarded the Jan Van der Ziel Fellowship; dissertation titled 'Data Exploration and Targeted Learning' was runner-up at the 3-Minute-Thesis (3MT) competition hosted by UT Dallas.
Research Experience
- Worked with the Tensorflow Model Garden team at Google on Optimizing Vision Transformer Architectures in Summer 2022; worked with the Autonomous Vehicles (AV) team at NVIDIA on improving Object Detection models deployed in AVs via Targeted Learning in Summer 2020 and 2021.
Education
- Ph.D. in Computer Engineering from the University of Texas at Dallas, supervised by Prof. Rishabh Iyer and Prof. Lakshman Tamil.
Background
- Senior Software Engineer focusing on Generative Media Models and personalized image generation. Research interests include targeted data subset selection, Active Learning, Submodular subset selection, and visual data summarization.
Miscellany
- Enjoys playing Badminton and Runescape, loves traveling and exploring new places.
