Academics
Research
People
Community & Belonging
News & Events
- News
- Events
About

Contact
Engage

Electrical
Engineering
Computer
Science
Artificial Intelligence +
Decision-making

Search for:

Contact
Engage

MENU

Academics
Research
- Electrical Engineering
  
  Electrical Engineers design systems that sense, process, and transmit energy and information. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity.
- Computer Science
  
  Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day.
- Artificial Intelligence + Decision-making
  
  Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.
- Explore all research areas
People
- Faculty Directory
Community & Belonging
- Thriving Stars
News & Events
- News
- Events
About

Home
People

Phillip Isola

People
Faculty
Faculty AI+D
Faculty CS
Faculty EE
Faculty Emeritus
Lecturers
Leadership
Staff
Instructors

Class of 1948 Career Development Professor; Associate Professor, [AI+D]

phillipi@mit.edu

(617) 768-7983

Office: 45-741D

Research Areas

Artificial Intelligence + Machine Learning
Graphics and Vision
Robotics

Latest News

November 13, 2025

Understanding the nuances of human-like intelligence

Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society.

The tenured engineers of 2025

Eleven faculty members have been granted tenure in six units across MIT’s School of Engineering.

Department of EECS Announces Promotions

The Department of EECS is proud to announce the following promotions to Associate Professor with tenure, all effective July 1, 2025

December 10, 2024

Can robots learn from machine dreams?

MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data.

With “Foundations of Computer Vision”, Antonio Torralba, Phillip Isola, and William Freeman take a closer look at a changing field

The three EECS professors have authored a comprehensive and holistic introduction to the complex topic.

MIT Electrical Engineering &
Computer Science Department

77 Massachusetts Ave.
Room 38-401
Cambridge, MA 02139

EECS INTERNAL RESOURCES
Admin Login
Accessibility

Linkedin
Facebook
Twitter

© 2026 Massachusetts Institute of Technology