Herbert Wertheim College of Engineering
Rangarajan Lab
Led by Anand Rangarajan · Computer and Information Science and Engineering
What we study
The lab studies how computers can analyze medical images and improve machine learning. They use algorithms to process images and develop AI tools for healthcare.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 4
Recent papers, explained
- Error-Guaranteed Compression with Preservation of Downstream Quantities for Electron Microscopy
2026 · Microscopy and Microanalysis
Tests whether a new compression method can shrink electron microscopy data while keeping key features intact for analysis.
- Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
2025 · IEEE Transactions on Intelligent Transportation Systems
Develops a graph-based model to simulate traffic at intersections more accurately using real-world data.
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- CAESAR: A Unified Framework for Foundation and Generative Models for Efficient Compression of Scientific Data
2025 · Applied Sciences
Creates a framework using autoencoders and diffusion models to compress scientific data efficiently while maintaining quality.
- Scalable Hybrid Learning Techniques for Scientific Data Compression
2025 · IEEE Transactions on Parallel and Distributed Systems
Builds a GPU-based tool that combines machine learning and standard compression to preserve important data features in scientific datasets.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Anand Rangarajan hasn't set up this page yet. You can also look them up in the UF directory (search “Anand Rangarajan”).