I am a PhD student in the Computational Imaging Lab at Rice University.
I am interested in developing methods for imaging systems or visual display systems using ideas from Image and Signal Processing, Computer Vision, Optics, Deep Learning. I aspire to gain “full-stack knowledge” of imaging systems and use it for novel applications - and in process solve sensing problems in healthcare, robotics, autonomous navigation, AR/VR, etc. [See Research]
I am currently researching on imaging and vision problems to help and aid in surgery and surgical robotics.
I am interested in new and exciting opportunities, and happy to talk to people about the same.
You can reach out to me on LinkedIn or at bhargav.ghanekar@rice.edu.
Updates
Jan 2025: Our paper, “Video-Based Surgical Tool-Tip and Keypoint Tracking Using Multi-Frame Context-Driven Deep Learning Models” got accepted at IEEE ISBI 2025! Stay tuned for updates. Link
Feb 2024: Our paper, “Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging”, a joint work between Rice and IIT Madras, has been accepted for CVPR 2024! Read about it here
Nov 2023: Our research-in-progress abstract “Vision-based tooltip tracking for automated surgical skill assessment in robotic surgery” got accepted for poster presentation at the 2024 ACS Surgeons and Engineers Meeting
Aug 2022: Happy to announce that our paper, “PS2F: Polarized Spiral PSF for Single-shot 3D sensing” won the Best Paper Award at ICCP 2022!