Aug 2024 – Dec 2025
Visiting Lecturer
McNeese State University
Teaching introductory and advanced programming (Python, Java) and machine learning. Developing course materials, assignments and exams, and mentoring students.
Prithvi Raj Singh
Researcher, Informatics Research Institute · University of Louisiana at Lafayette
About
I am a researcher at the Informatics Research Institute at the University of Louisiana at Lafayette, working in computer vision and robotics. My work connects theoretical computer vision research with practical applications in robotics and edge computing.
I completed my MS in Computer Science at the University of Louisiana at Lafayette, co-advised by Dr. Raju Gottumukkala and Dr. Anthony S. Maida. My thesis focused on real-time detection and tracking of fast-moving small objects for a racquetball-playing robot, with all research carried out in the Department of Mechanical Engineering. Before that, I earned a BS in Computer Science with a minor in Mathematics from McNeese State University, where I served as President of the ACM chapter and was a founding member of the robotics club.
I am originally from Birgunj, Nepal. I grew up in a working-class family and spent much of my childhood in my ancestral village. After high school I came to the United States for my undergraduate degree, with plans to pursue a PhD. I am proud of how far I have come.
Research
My research advances 3D computer vision for robotics, particularly in challenging scenarios involving fast-moving small objects. I work at the intersection of classical computer vision, deep learning and physics-informed models to build robust perception systems that run efficiently on edge devices.
3D computer vision · Robotic perception · Scene understanding and reconstruction · Object detection and tracking · Edge computing and TinyML · Reinforcement learning
During my graduate work I developed a hybrid system that pairs a kinematic motion model with a YOLO detector to detect and track a tiny racquetball. This involved extensive experiments with detection architectures (YOLOv5–8, SSD, Faster R-CNN) and tracking algorithms (Kalman filter, SORT, DeepSORT) to handle motion blur and occlusion, and improved tracking accuracy for fast-moving small objects in 3D space.
I care about making advanced vision algorithms practical and deployable on resource-constrained devices such as the Jetson TX and Raspberry Pi.
Experience
Aug 2021 - July 2023
Associate Software Engineer
Louisiana Transportation Research Center (LTRC)
Built software for transportation researchers and geotechnical engineers in VB.NET and C#. Led development of GeoTechPileCPT for the Louisiana Department of Transportation. Worked with ASP.NET, Azure DevOps, and Windows and web applications.
Aug 2021 - July 2023
Research Assistant
Cyber-Physical and Human Systems Lab
Worked mainly on 3D localization and tracking of fast-moving tiny objects, and contributed to other lab projects and data collections. Mentored undergraduate students and helped with lab administration.
Teaching
At McNeese State University I teach courses from introductory programming to machine learning.
- CS 431Machine Learning
- CS 282Object-Oriented Design (Advanced Java)
- CS 281Introduction to Computer Science II (Java)
- CS 180Introduction to Computer Science I (Python)
Software
GeoTechPileCPT
Geotechnical analysis and pile foundation design software, built for the Louisiana Department of Transportation with Federal Highway Administration funding.
Contact
I'm always happy to talk about research, collaborations or PhD opportunities. The best way to reach me is by email.