Experts on machine learning
Machine learning is a branch of artificial intelligence that enables computers to learn by processing large volumes of data, to detect patterns in data, and to even make predictions and decisions without human intervention. WPI experts on machine learning can comment on how this powerful tool is being put to use in fields as diverse as education, healthcare, materials engineering, and robotics. Understanding traumatic brain injuries, directing robot swarms, and optimizing learning in K-12 classrooms are just a few of the ways WPI researchers are applying machine learning in their work.

Emmanuel O. Agu
- Professor Computer Science

Berk Calli
- Associate Professor Robotics Engineering
Gregory S. Fischer
- Professor Robotics Engineering

Fatemeh Ganji
- Assistant Professor Electrical & Computer Engineering

Neil Heffernan
- Professor Computer Science

Songbai Ji
- Professor Biomedical Engineering

Rodica Neamtu
- Professor of Teaching Computer Science

Randy Clinton Paffenroth
- Associate Professor Mathematical Sciences

Carlo Pinciroli
- Associate Professor/Graduate Coordinator Robotics Engineering

Elke A. Rundensteiner
- Professor, Computer Science, Program Head, Data Science Computer Science

Erin Solovey
- Associate Professor Computer Science

Andrew C Trapp
- Professor The Business School

Alexander Wyglinski
- Associate Dean of Graduate Studies Electrical & Computer Engineering

Eric Mosher Young
- Associate Professor-Engineering Chemical Engineering

Haichong Zhang
- Associate Professor Robotics Engineering