3M Scientist | Computer Vision Specialist | AI Researcher | Ph.D. Louisiana State University
Distinguished AI researcher and Computer Vision specialist at 3M with a remarkable track record in solving physics-based vision problems. Pioneered breakthrough research in underwater image distortion removal and fluid surface reconstruction (CVPR Oral < 2%), while contributing to cutting-edge industrial applications resulting in multiple patents.
Currently driving innovation at the intersection of robotics, physical systems modeling and deep learning, with extensive experience spanning both academic research (100+ citations) and industry applications. Core team member of the 3M Finesse-it Robotic Paint Repair Solutions — the first-ever complete automotive solution powered by physics-based computer vision algorithms, robotic planning, 3M tools, repair recipes, and 3M consumables.
Louisiana State University, Baton Rouge (Fall 2017 – Fall 2021)
Louisiana State University, Baton Rouge (Fall 2015 – Fall 2017)
Tribhuvan University, Kathmandu, Nepal (Aug 2009 – Dec 2013)
3M, Greater Minneapolis Area, MN (Sep 2023 - Present)
3M, Greater Minneapolis Area, MN (Oct 2021 - Sep 2023)
OPPO US Research Center, Palo Alto, CA (Summer 2021)
Futurewei Technologies, Santa Clara, CA (Summer 2020)
Experimental Statistics on Machine Learning Mosquito Analysis - LSU and St. Tammany Mosquito Abatement District Project (Summer 2019)
Deerwalk Inc., Lexington, MA | Kathmandu, Nepal (Jan 2015 – Jul 2015)
Deerwalk Inc., Lexington, MA | Kathmandu, Nepal (Nov 2013 – Jan 2015)
Louisiana State University, Baton Rouge, LA (Fall 2015 – Fall 2021)
Louisiana State University, Baton Rouge, LA (Fall 2015 – Fall 2021)
CSC 2463 Programming Digital Media (Spring 2018 - Spring 2021)
Teaching Report 2021 |
Teaching Report 2020 |
Teaching Report 2019
"Learning to Remove Refractive Distortions from Underwater Images"
S. Thapa, N. Li, and J. Ye
IEEE/CVF International Conference of Computer Vision (ICCV 2021)
"Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation"
N. Li, S. Thapa, C. Whyte, A. Reed, S. Jaysuriya, and J. Ye
IEEE/CVF International Conference of Computer Vision (ICCV 2021)
"Dynamic Fluid Surface Reconstruction Using Deep Neural Network"
S. Thapa, N. Li, and J. Ye
IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2020 ORAL < 2%
[GitHub]
[PDF]
"Dynamic Fluid Surface Reconstruction Using Deep Neural Network"
S. Thapa, N. Li, and J. Ye
IEEE International Conference on Computational Photography (ICCP), 2020
[Poster Presentation]
"Interactive Web-Based Visualization of Atomic Position-Time Series Data"
S. Thapa and B. B. Karki
American GeoPhysical Union (AGU), 2017
[Poster Presentation]
"WO2024141859A1 Robotic Surface Modification Systems and Methods"
Rudy M Lawler, Sarah A. Medley, Robert A. Knutson, Jonathan B. Arthur, S. Thapa, and Alireza Ghaderi
World wide Application PCT/IB2023/062953, 3M Innovative Properties Company
[PDF]
"WO2024141858A1 Robotic Surface Modification Systems and Methods"
Rudy M Lawler, Sarah A. Medley, Robert A. Knutson, Jonathan B. Arthur, S. Thapa, and Alireza Ghaderi
World wide Application PCT/IB2023/062938, 3M Innovative Properties Company
[PDF]
Discover Grant Winner - New Project Initiative - Team Award - Global 3M
2023 3M Circle of Technical Excellence and Innovation - Team Award - Global 3M
2022 Outstanding PhD Dissertation, College of Engineering - Louisiana State University
2022 3M Circle of Technical Excellence and Innovation - Individual Award - Global 3M
Professional Service:
IEEE/CVPR Paper Reviewer 2022, 2023, 2024, 2025
IEEE/ICCV Paper Reviewer 2022, 2023, 2024, 2025
3M - FANUC Robot Collaboration
First-Ever Robotic Paint Repair Solution on a Moving Automotive Line
3M - General Motors Collaboration
3M and GM Partner on First-Ever Robotic Paint Repair System on Moving Assembly Line