Scholar
Akshay Kulkarni
Google Scholar ID: VGztDcYAAAAJ
PhD student, UC San Diego
Citations & Impact
Citations
451
H-index
9
i10-index
8
Publications
17
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Publications: CVPR 2025, ECCV 2024, ICCV 2021, ICML 2022, ECCV 2022, NeurIPS 2022, TMLR 2025, ICCV 2023, AAAI 2022, WACV 2024, etc.; Awards: UCSD GPSA Travel Grant for CVPR 2025, CVPR Broadening Participation Travel Grant for CVPR 2025, Recognized as one of the Best Reviewers for AISTATS 2025; Reviewer Experience: Reviewer for multiple top computer vision and machine learning conferences and journals.
Research Experience
- Summer 2024: Intern at Lawrence Livermore National Laboratory (LLNL), mentored by Dr. Kowshik Thopalli and Dr. Vivek Narayanaswamy, working on interpretability for vision-language models; Summer 2023: Research Intern at Sony R&D Center, Tokyo, working on Labeled Dataset Generation using Generative AI models; Before MS: Project Assistant at Video Analytics Lab, IISc, Bangalore, working with Prof. R. Venkatesh Babu and his Ph.D. student Jogendra Nath Kundu, focusing on Domain Adaptation.
Education
- PhD: University of California, San Diego (UCSD), advisor Prof. Tsui-Wei (Lily) Weng; MS: University of California, San Diego (UCSD), advisor Prof. Weng; B. Tech.: Visvesvaraya National Institute of Technology, Nagpur (2016-2020).
Background
- Research Interests: Interpretable and Trustworthy Machine Learning. Background: First-year PhD student at UCSD, advised by Prof. Tsui-Wei (Lily) Weng.
Miscellany
- Personal Interests: Not specified
