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