About Me

I am a PhD student in Computer Science at the University of Maryland, Baltimore County, advised by Dr. Tejas Gokhale. I also closely collaborate with Dr. Kowshik Thopalli. My work spans continual learning, interpretable AI, and machine unlearning focusing on harnessing concept-based interpretability for adapting to novelty and variations. I have published in CVPR-W, AAAI, and 3DV.

I am open for collaborations, reach out to me with to catchup and discuss on cool ideas.

News

  • Summer 2025: Research Intern, Lawrence Livermore National Laboratory (Machine Intelligence Group).
  • June 2025: Program Committee — AAAI, CoLLAs; ELAMI workshop @ MICCAI (reviewer/service).
  • May 2025: SACK: Sequentially Acquiring Concepts to Guide Continual Learning — accepted to Workshop on Visual Concepts @ CVPR.
  • August 2024 Joined CVG @ UMBC as a PhD student.
  • January 2024: A benchmark grocery dataset of real-world point clouds from single view — accepted to 3DV.
  • Febraury 2024: Student abstract on novel class discovery for heritage data — AAAI.