Hi, I'm Ripon Saha
Final Year Ph.D. Student
Computer Engineering at Arizona State University
My research expertise lies at the intersection of deep learning and computational imaging, where I develop solutions for complex computer vision challenges. I specialize in designing neural architectures for image restoration, object detection, and generative modeling, with a particular focus on real-world applications in challenging atmospheric conditions.
I've gained valuable industry experience through internships at Kitware Inc. (transformer-based video understanding), Alphacore Inc. (physics-informed deep learning), and Lightsense Technology Inc. (AI for Covid-19 detection using spectral signatures). My work combines classical computer vision with modern deep learning techniques for robust real-world solutions.

Areas of Expertise
Computer Vision
- • Atmospheric Turbulence Mitigation
- • Low-light Image Enhancement
- • Multi-frame Capture & Processing
- • Object Segmentation in Degraded Videos
- • Medical Image Analysis
- • Real-time Video Processing
Machine Learning
- • Deep Learning Model Development
- • CNN, RNN, LSTM Architectures
- • Physics-based Deep Learning
- • Transfer Learning & Fine-tuning
- • Multimodal Learning
Computational Photography
- • RAW Image Processing
- • HDR Imaging
- • Super-Resolution
- • Astrophotography
- • Automated Photo Enhancement
- • Multi-Camera System Analysis
Intelligent Systems
- • Biomedical Image Processing
- • Spectral Data Analysis
- • AI-assisted Diagnostics
- • Environmental Monitoring Systems
- • Long-range Observation Systems
AI Research & Development
- • Novel Algorithm Design
- • Research Paper Publication
- • Experimental Setup & Data Collection
- • Performance Optimization
- • Cross-disciplinary AI Applications
High-Performance Computing
- • GPU-accelerated Computing
- • Parallel Processing
- • Large-scale Data Analysis
- • Optimization for Real-time Applications
- • Cloud Computing Integration
Technical Skills
Programming Languages
Frameworks & Libraries
Machine Learning & AI
Data Visualization
High-Performance Computing
Other Tools
Recent Publications
MetaVIn: Meteorological and Visual Integration for Atmospheric Image Degradation Estimation
Saha, Ripon Kumar, Mccloskey S, Jayasuriya S
WACV 2025
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
Ripon Kumar Saha, Qin D, e J, Li N, and Jayasuriya S
CVPR 2024
Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence
Qin D, Saha, Ripon Kumar, Jayasuriya S, Ye J, and Li N
ECCV 2024
Awards & Recognition
University Grant Fellowship
Arizona State University ECEE
Research Excellence Award ($12,000)
2025
Graduate Research Day Award
Arizona State University
Winner in Information Sciences (PhD Category)
2024
1st Place Winner
BuildwithAI Hackathon
Out of 4,000 participants from over 70 countries
2020