Lab Director: Prof. Saurabh Prasad
Research Thrusts
The research focus of our lab is advancing the state-of-the-art in machine learning and image processing for challenging applications such as geospatial imaging and biomedical data analysis. Our current research focus entails development of machine learning and image processing techniques for robust analysis of multi-sensor, high dimensional data.
Machine Learning
Machine Learning with Limited and Noisy Ground Truth, Sparse Deep Learning, Active, Semi-Supervised and Self-Supervised Machine Learning, Multi-Modal Data Fusion, Transfer Learning.
Applications: Geospatial Imaging
Analysis of passive optical imagery, multi-scale image analysis (e.g. seamless learning across UAVs, manned aircraft and satellites), Multi-sensor fusion, etc.
Signal Processing
Sparse representation based machine learning, denoising, super-resolution, image enhancement, image registration etc.
Applications: Biomedicine
Analysis of EEG/EMG data for Brain Machine Interface, Analysis of microscopy imagery etc.
Applications
The theory and algorithms we develop are tailored to address the unique challenges posed by multi-sensor, multi-channel imagery data for geospatial and biomedicine applications.
