Vedang Bhupesh Shenvi Nadkarni

Pronouns: he/him

PhD student, Faculty of Engineering, Free University of Bozen

Intern, MAASAI team, INRIA

Undergrad student, Department of Physics, BITS Pilani, Birla Institute of Technology and Science

  • Joined October 2023

Names

Vedang Bhupesh Shenvi Nadkarni (Preferred)
,
Vedang Nadkarni

Emails

****@gmail.com (Confirmed)
,
****@pilani.bits-pilani.ac.in (Confirmed)
,
****@tuebingen.mpg.de (Confirmed)
,
****@ub.edu (Confirmed)
,
****@intel.com
,
****@inria.fr (Confirmed)
,
****@student.unibz.it (Confirmed)

Career & Education History

PhD student
Faculty of Engineering, Free University of Bozen (unibz.it)
2025Present
 
Intern
MAASAI team, INRIA (inria.fr)
20242025
 
Undergrad student
Department of Physics, BITS Pilani, Birla Institute of Technology and Science (pilani.bits-pilani.ac.in)
20202025
 
Researcher
Departament de Matemàtiques i Informàtica, Universitat de Barcelona (ub.edu)
20242024
 
Intern
Robust Machine Learning group, Max Planck Institute for Intelligent Systems, Max-Planck Institute (tuebingen.mpg.de)
20232023
 
Intern
Emerging Visual AI Systems Lab, Intel (intel.com)
20222022
 

Advisors, Relations & Conflicts

PhD Advisor
2025Present
 
Thesis Advisor
20242024
 

Expertise

Temporal Vision, Physics informed machine learning, Physics simulation, 3D modelling, X-ray Computational Tomography
2025Present
 
Diffusion, Image Generation, Visual data imputation, Visual knowledge injection
20242025
 
Underwater object detection, Image enhancement, Object detection, Metric uncertainty, Aleatoric uncertainty
20242025
 
Image segmentation, Semantic segmentation, Object detection, YOLO
20212025
 
3D reconstruction, 3D Humans, Human clothing, Cloth dynamics, Human pose, Computer Vision
20242024
 
3D LiDAR, Pointclouds, 3D segmentation, 3D Classification, LiDAR SLAM, Robotics, Computer Vision
20232024
 
Robotics, SLAM, Path finding, Stereo-vision, Uncertainty mapping, Drone simulation
20212023
 
Software defined Hardware optimization, AutoML for hardware confirguration optimization, Deep Recommendation systems, DLRM
20222022