Dr. John W Fisher

Senior Research Scientist

Primary DLC

Computer Science and Artificial Intelligence Laboratory

MIT Room: 32-D468

Areas of Interest and Expertise

Information Theory
Nonparametric Statistics
Machine Learning
Pattern Recognition
Distributed Inference and Learning in Sensor Networks
Multi-Modal Data Fusion and Functional Imaging
Source Separation
Computer Vision
Parameter Estimation
Big Data

Research Summary

Lately Fisher has been working on signal level approaches to multi-modal data fusion, distributed inference under resource constraints, resource management in sensor networks, and analysis of seismic and radar images.

Through a collaboration with Sandy Wells (affiliated with CSAIL and the Surgical Planning Lab at Brigham and Women's Hospital), Fisher is working on nonparametric approaches to functional imaging (particularly fMRI) and image registration. However, he is generally interested in statistical and information theoretic approaches to machine learning, signal processing, and computer vision - or any combination thereof.

Some recent work Fisher has done was with Erik Learned-Miller (former CSAIL Ph.D. student, now a professor at UMass Amherst) is a an ICA algorithm called RADICAL.

Recent Work