I am a Ph.D. student in Electrical & Computer Engineering at Johns Hopkins University, where I work in the AIEM Lab with Bloomberg Distinguished Professor Rama Chellappa. I work on 3D and 2D computer vision, broadly on robust 3D reconstruction, registration, and visual localization, and on real-time tracking and identification. I am interested in how physics and deep learning can work together for perception in the real world.

My research is supported by two IARPA programs. Under WRIVA, I work on large-scale 3D reconstruction from images captured across diverse cameras and varying altitudes; my recent paper, CAM3R, on camera-agnostic reconstruction, grew out of this work. Under VideoLINCS, I work on real-time tracking and identification of people and objects in video. I am also starting to explore agentic AI in my research and pipelines, and I am drawn to applications in autonomy, robotics, surveillance, and healthcare.

I collaborate closely with Prof. Cheng Peng (UVA), Prof. Vishal Patel (JHU), Prof. Anand Bhattad (JHU), Dr. Abhay Yadav (JHU), and Chandrakanth Gudavalli (Mayachitra).

News

  • [Jun, 2026] Paper “CAM3R: Camera-Agnostic Model for 3D Reconstruction” accepted at ECCV 2026! 🎉
  • [Jun, 2026] Attended CVPR 2026 in person in Denver, USA. Happy to connect!
  • [Jul, 2025] Patent “System and Method for Image Analysis and Summarization” (No. 201941033734) granted by the Indian Patent Office.
  • [Nov, 2024] Paper “Serum metabolites relate to mucosal and transmural inflammation in paediatric Crohn disease” accepted in the Journal of Crohn's and Colitis.
  • [Jun, 2024] Started a new chapter in the AIEM Lab under Prof. Rama Chellappa.
  • [Jan, 2024] Joined Johns Hopkins University for my Ph.D. with an ECE Departmental Fellowship.
  • [Dec, 2023] Attended IEEE BIBM 2023 in Istanbul, Turkey and presented “A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction”.
  • [Oct, 2023] Paper “A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction” accepted at IEEE BIBM 2023.
  • [Sep, 2023] Defended my M.Sc. thesis (advisors Dr. Nilanjan Ray and Dr. Gilbert Bigras, Cross Cancer Institute).
  • [Mar, 2023] Paper “Identifying the Most Important Predictors to Correlate Serum Metabolites with MRE Changes in Pediatric Crohn Disease” accepted in the Journal of the Canadian Association of Gastroenterology.
  • [Feb, 2023] Received Ph.D. admission offer from Johns Hopkins University.
  • [Jan, 2021] Joined the University of Alberta for my M.Sc. in Computing Science (deferred due to COVID-19 border restrictions).
  • [Oct, 2020] Received my B.E. from VTU as a Gold Medalist, advised by Dr. Sejal Nimbhorkar.
  • [Feb, 2020] M.Sc. thesis based admission offer (fully funded plus stipend) from the University of Alberta.
  • [Feb, 2020] FKCCI Manthan business plan finalist: “Emotion Recognition for CCTV Surveillance and Video Summarization.”
  • [Oct, 2019] Attended IEEE TENCON 2019 in Kochi, India and presented “Action based Video Summarization”.
  • [Aug, 2019] Patent “System and Method for Image Analysis and Summarization” (No. 201941033734) filed at the Indian Patent Office.
  • [Aug, 2019] Paper “Action based Video Summarization” accepted at IEEE TENCON 2019.
  • [Aug, 2019] Smart India Hackathon finalist: “Emotion Recognition for CCTV Surveillance and Video Summarization.”
  • [Jun, 2019] Data Science Intern at Vision Digital India.
  • [Sep, 2018] Built Lifeline ERV to aid Bangalore traffic police, funded by the BNMIT E-Cell.
  • [Aug, 2016] Joined BNMIT (VTU) for my B.E. in Computer Science.
  • [May, 2016] Received Pre University diploma (State Rank 6, Karnataka).
  • [Aug, 2014] Joined Deeksha (SGPTA) for Pre University.
  • [May, 2014] Completed ICSE high school at Carmel School, Bangalore (93%).

Selected Publications

* Equal contribution.

Patents

* Equal contribution.

Thesis / Dissertation

Projects

Teaching

Teaching Assistant, Johns Hopkins University

  • EN.520.650 Machine Intelligence (Spring 2025, Spring 2026)

Teaching Assistant, University of Alberta

  • CMPUT 466/566 Introduction to Machine Learning (Fall 2022)
  • CMPUT 366 Intelligent Systems (Fall 2021, Winter 2023)
  • CMPUT 302 Human Computer Interaction (Winter 2022)

Education

Experience

Honors & Awards

  • 2024JHU ECE Departmental Fellowship
  • 2021University of Alberta thesis based tuition waiver & stipend
  • 2020VTU Gold Medalist (Class of 2020)
  • 2020FKCCI Manthan, top 5% business plan proposal
  • 2019IEDC, Govt. of India grant (â‚ą2,00,000), Image Analysis & Summarization
  • 2019IEDC, Govt. of India grant (â‚ą2,00,000), LifeLine ERV ambulance app
  • 2019Smart India Hackathon (Hardware) finalist, team lead, “The Neural Soldiers”

Mentoring

  • Alethea Nagahara, Undergraduate, USC

Service

Reviewer

  • IEEE BIBM (conference)
  • International Journal of Computer Vision (IJCV)

Languages

  • English, native / bilingual
  • Kannada, native / bilingual
  • Hindi, full professional
  • French, Sanskrit, Spanish, elementary

Tools

Python · C++ · PyTorch · OpenCV · Docker · Kubernetes · AWS