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

Saman Amarasinghe

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

Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science, [CS]

(617) 253-8879

Office: 32G-744

Research Areas

Artificial Intelligence + Machine Learning
Computer Architecture
Programming Languages and Software Engineering
Security and Cryptography
Systems and Networking

Latest News

September 17, 2025

2025-26 EECS Faculty Award Roundup

This ongoing listing of awards and recognitions won by our faculty is added to all year, beginning in September.

February 3, 2025

User-friendly system can help developers build more efficient simulations and AI models

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

October 4, 2024

Modeling relationships to solve complex problems efficiently

Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.

December 2, 2021

2021 EECS Awards

It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by...

EECS Celebrates: Honoring the department’s outstanding contributors

The EECS community came together to celebrate faculty, student, and staff achievements over the past year.

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