Praneet Singh
Ph.D. Candidate @ Purdue University, Advised by Dr. Amy R. Reibman
About Me
Hi 👋, I am a researcher passionate about redefining possibilities in the image and video domain.
I am actively seeking research opportunities in the industry starting May 2025 to contribute to impactful innovations and help shape the future of image and video technology.
Research Interests
- Task-aware Video Analytics and Compression
- Image Quality Assessment
- End-to-end Computer Vision Systems
- Multimodal Neural Field Representations
- 3D/4D Gaussian Splatting
Tech Stack
- Programming Languages: Python, C++, MATLAB
- ML Libraries & Frameworks: PyTorch, Tensorflow, Keras, MXNet
- Video Coding Frameworks: AVC, HEVC, VVC
- Architectures: CNNs, Neural Fields, Gaussian Splats, Transformers, Autoencoders
- Relevant Tools: AWS, GitHub, Docker, NginX, FFmpeg, OpencCV, NumPy, SciPy, Pandas
Work Experience
- Purdue University
- Dolby Laboratories
- Apple Inc.
- Indian Institute of Science