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 Computer Science

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

Neil Heffernan
- Professor Computer Science

Songbai Ji
- Professor- Engineering Biomedical Engineering

Randy Clinton Paffenroth
- Associate Professor Mathematical Sciences

Carlo Pinciroli
- Assistant Professor of Robotics Engineering and Assistant Professor of Fire Protection Engineering Robotics Engineering

Elke A. Rundensteiner
- Professor Computer Science

Erin Solovey
- Associate Professor Computer Science

Andrew C Trapp
- Associate Professor The Business School

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

Eric Mosher Young
- Assistant Professor Chemical Engineering

Haichong Zhang
- Assistant Professor Robotics Engineering