Research

  • Research Areas
  • Impact Areas

Algorithms & Theory

Foundational work that includes complexity, parallel computing and game theory

AI & Machine Learning

Spanning natural language processing, deep-learning, computer vision and more

Computational Biology

Understanding disease via epigenomics, gene regulation and bioinformatics

Computer Architecture

How CPUs, memory and other systems are designed and organized

Graphics & Vision

Teaching computers to interpret, create and animate visual data

Human-Computer Interaction

Software and hardware that let us naturally interact with technology

Programming Languages & Software Engineering

From compilers and verification to software design and engineering

Robotics

Vision, actuation, sensing and manipulation of machines

Security & Cryptography

Developing technologies to prevent and recover from cyber-attacks

Systems & Networking

From distributed systems and databases to wireless

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10 Group Results matching all criteria

Research Group

Complexity Theory Group

Our interests span quantum complexity theory, barriers to solving P versus NP, theoretical computer science with a focus on probabilistically checkable proofs (PCP), pseudo-randomness, coding theory, and algorithms.

Leads

Goldwasser

Shafi Goldwasser

Rubinfeld

Ronitt Rubinfeld

Sipser

Michael Sipser

RWilliams-headshot

Ryan Williams

VWilliams-headshot

Virginia Vassilevska Williams

Research Areas

Algorithms & Theory

Impact Areas

Big Data
Cybersecurity

Lead

Goldwasser

Shafi Goldwasser

Rubinfeld

Ronitt Rubinfeld

Sipser

Michael Sipser

RWilliams-headshot

Ryan Williams

VWilliams-headshot

Virginia Vassilevska Williams

Research Group

Theory of Computation Group

Theory research at CSAIL covers a broad spectrum of topics, including algorithms, complexity theory, cryptography, distributed systems, parallel computing and quantum computing.

Leads

Berger

Bonnie Berger

Daskalakis

Costis Daskalakis

Erik Demaine

Erik Demaine

Edelman

Alan Edelman

Goemans

Michael Goemans

Goldwasser

Shafi Goldwasser

Indyk

Piotr Indyk

Karger

David Karger

Jonathan Kelner

Jonathan Kelner

Leighton

Tom Leighton

Professor Charles E. Leiserson

Charles E. Leiserson

Lynch

Nancy Lynch

Madry-headshot

Aleksander Madry

Meyer

Albert R. Meyer

Micali

Silvio Micali

Moitra-headshot

Ankur Moitra

Rivest

Ronald Rivest

Rubinfeld

Ronitt Rubinfeld

shavit-headshot

Nir Shavit

Shor

Peter Shor

vaikuntanathan-headshot

Vinod Vaikuntanathan

RWilliams-headshot

Ryan Williams

VWilliams-headshot

Virginia Vassilevska Williams

Research Areas

Algorithms & Theory

Impact Areas

Big Data
Cybersecurity

Lead

Berger

Bonnie Berger

Daskalakis

Costis Daskalakis

Erik Demaine

Erik Demaine

Edelman

Alan Edelman

Goemans

Michael Goemans

Goldwasser

Shafi Goldwasser

Indyk

Piotr Indyk

Karger

David Karger

Jonathan Kelner

Jonathan Kelner

Leighton

Tom Leighton

Professor Charles E. Leiserson

Charles E. Leiserson

Lynch

Nancy Lynch

Madry-headshot

Aleksander Madry

Meyer

Albert R. Meyer

Micali

Silvio Micali

Moitra-headshot

Ankur Moitra

Rivest

Ronald Rivest

Rubinfeld

Ronitt Rubinfeld

shavit-headshot

Nir Shavit

Shor

Peter Shor

vaikuntanathan-headshot

Vinod Vaikuntanathan

RWilliams-headshot

Ryan Williams

VWilliams-headshot

Virginia Vassilevska Williams

Research Center

Internet Policy Research Initiative

Our mission is to work with policy makers and cybersecurity technologists to increase the trustworthiness and effectiveness of interconnected digital systems.
+3

Leads

Weitzner

Daniel Weitzner

Abelson

Hal Abelson

Clark

David Clark

Kagal-headshot

Lalana Kagal

Karen Sollins

Karen Sollins

Gerald Sussman

Gerald Sussman

Research Areas

AI & Machine Learning
Human-Computer Interaction
Security & Cryptography

Impact Areas

Big Data
Cybersecurity
Internet of Things
Transportation

Lead

Weitzner

Daniel Weitzner

Abelson

Hal Abelson

Clark

David Clark

Kagal-headshot

Lalana Kagal

Karen Sollins

Karen Sollins

Gerald Sussman

Gerald Sussman

+3

4 Project Results matching all criteria

Project

PrivacyML - A Privacy Preserving Framework for Machine Learning

Decentralized Information Group
We are developing a general framework that enforces privacy transparently enabling different kinds of machine learning to be developed that are automatically privacy preserving.
Kagal-headshot

Lalana Kagal

Vaikkunth

Vaikkunth Mugunthan

Leads

Kagal-headshot

Lalana Kagal

Vaikkunth

Vaikkunth Mugunthan

Research Areas

AI & Machine Learning
Security & Cryptography

Impact Areas

Big Data
Cybersecurity
Education
Energy
Entertainment
Health Care
Internet of Things
Manufacturing
Transportation
 
Kagal-headshot

Lalana Kagal

Vaikkunth

Vaikkunth Mugunthan

Project

Alloy

Software Design Group
Alloy is a language for describing structures and a tool for exploring them. It has been used in a wide range of applications from finding holes in security mechanisms to designing telephone switching networks. Hundreds of projects have used Alloy for design analysis, for verification, for simulation, and as a backend for many other kinds of analysis and synthesis tools, and Alloy is currently being taught in courses worldwide.
Jackson image

Daniel Jackson

Leads

Jackson image

Daniel Jackson

Research Areas

Human-Computer Interaction
Programming Languages & Software Engineering
Security & Cryptography

Impact Areas

Big Data
Cybersecurity
Education
Transportation
Wireless
 
Jackson image

Daniel Jackson

16 People Results matching all criteria

R. David Edelman

R. David Edelman

Director, Project on Technology, Economy & National Security
Machine learning, cybersecurity, governance
R. David Edelman
T 258-6389
Machine learning, cybersecurity, governance
Gregory Falco

Gregory Falco

Postdoctoral Associate
Dr. Falco is a hacker and expert in IoT and IIoT cybersecurity.
Gregory Falco
Dr. Falco is a hacker and expert in IoT and IIoT cybersecurity.
Rus

PI
Core/Dual

Daniela Rus

Director
CSAIL director, robotics, AI, data science, privacy
Rus
T 258-7567
RM 32/ 32-368/ 374

Lead

Distributed Robotics Laboratory
Social Network Extraction from GPS Datasets with Coresets
Safety Standards for Autonomous Vehicles
Soft Contact Modeling
Practical Secure Computation
Self-Driving Vehicles
Robust Learning for Autonomous Vehicles
Brain-Controlled Robots
Planning in Congestion for Autonomous Vehicles
Socially-Compliant Behavior for Autonomous Driving
Coresets for Machine Learning Algorithms
M-Blocks Modular Robotics
Robot Compiler
Distributed Robot Garden
Route and Motion Planning for Mobility-on-Demand with Rules of the Road

Member

Social Network Extraction from GPS Datasets with Coresets
Task-Driven Co-Optimization Of Articulated Robots
Wearable Blind Navigation
Drones that Drive
Better Models for Ride-Sharing
SoFi - The Soft Robotic Fish
CSAIL director, robotics, AI, data science, privacy

5 News Results matching all criteria

CSAIL1
Algorithms & Theory Computer Architecture Big Data Cybersecurity Health Care Internet of Things Manufacturing

MIT hosts workshop on theoretical foundations of deep learning

Last week MIT’s Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop aimed at tackling the underlying theory behind deep learning. Led by MIT professor Aleksander Madry, the event focused on a number of research discussions at the intersection of math, statistics, and theoretical computer science.

MIT hosts workshop on theoretical foundations of deep learning

bbva1
Algorithms & Theory Security & Cryptography Big Data Cybersecurity Education Entertainment Health Care Internet of Things Manufacturing

Goldwasser, Micali, and Rivest win BBVA Foundation Frontiers of Knowledge Awards

This week it was announced that MIT professors and CSAIL principal investigators Shafi Goldwasser, Silvio Micali, Ronald Rivest, and former MIT professor Adi Shamir won this year’s BBVA Foundation Frontiers of Knowledge Awards in the Information and Communication Technologies category for their work in cryptography.

Goldwasser, Micali, and Rivest win BBVA Foundation Frontiers of Knowledge Awards

Daniel Jackson was awarded the Outstanding Research Award and Impact Paper Award (photo credit Sharona Jacobs)
Algorithms & Theory AI & Machine Learning Big Data Cybersecurity

CSAIL's Daniel Jackson receives two ACM awards

This week the Association for Computer Machinery presented CSAIL principal investigator Daniel Jackson with the 2017 ACM SIGSOFT Outstanding Research Award for his pioneering work in software engineering. (This fall he also received the ACM SIGSOFT Impact Paper Award for his research method for finding bugs in code.)An EECS professor and associate director of CSAIL, Jackson was given the Outstanding Research Award for his “foundational contributions to software modeling, the creation of the modeling language Alloy, and the development of a widely used tool supporting model verification.”

CSAIL's Daniel Jackson receives two ACM awards

34 Group Results

Research Group

Complexity Theory Group

Our interests span quantum complexity theory, barriers to solving P versus NP, theoretical computer science with a focus on probabilistically checkable proofs (PCP), pseudo-randomness, coding theory, and algorithms.

Leads

Goldwasser

Shafi Goldwasser

Rubinfeld

Ronitt Rubinfeld

Sipser

Michael Sipser

RWilliams-headshot

Ryan Williams

VWilliams-headshot

Virginia Vassilevska Williams

Research Areas

Algorithms & Theory

Impact Areas

Big Data
Cybersecurity

Lead

Goldwasser

Shafi Goldwasser

Rubinfeld

Ronitt Rubinfeld

Sipser

Michael Sipser

RWilliams-headshot

Ryan Williams

VWilliams-headshot

Virginia Vassilevska Williams

Research Group

Cryptography and Information Security Group

We seek to develop techniques for securing tomorrow's global information infrastructure by exploring theoretical foundations, near-term practical applications, and long-range speculative research.

Leads

Goldwasser

Shafi Goldwasser

Micali

Silvio Micali

Rivest

Ronald Rivest

vaikuntanathan-headshot

Vinod Vaikuntanathan

Lampson

Butler Lampson

Research Areas

Algorithms & Theory
Security & Cryptography

Impact Areas

Cybersecurity
Wireless

Lead

Goldwasser

Shafi Goldwasser

Micali

Silvio Micali

Rivest

Ronald Rivest

vaikuntanathan-headshot

Vinod Vaikuntanathan

Lampson

Butler Lampson

Research Center

Internet Policy Research Initiative

Our mission is to work with policy makers and cybersecurity technologists to increase the trustworthiness and effectiveness of interconnected digital systems.
+3

Leads

Weitzner

Daniel Weitzner

Abelson

Hal Abelson

Clark

David Clark

Kagal-headshot

Lalana Kagal

Karen Sollins

Karen Sollins

Gerald Sussman

Gerald Sussman

Research Areas

AI & Machine Learning
Human-Computer Interaction
Security & Cryptography

Impact Areas

Big Data
Cybersecurity
Internet of Things
Transportation

Lead

Weitzner

Daniel Weitzner

Abelson

Hal Abelson

Clark

David Clark

Kagal-headshot

Lalana Kagal

Karen Sollins

Karen Sollins

Gerald Sussman

Gerald Sussman

+3

55 Project Results

Project

Alloy

Software Design Group
Alloy is a language for describing structures and a tool for exploring them. It has been used in a wide range of applications from finding holes in security mechanisms to designing telephone switching networks. Hundreds of projects have used Alloy for design analysis, for verification, for simulation, and as a backend for many other kinds of analysis and synthesis tools, and Alloy is currently being taught in courses worldwide.
Jackson image

Daniel Jackson

Leads

Jackson image

Daniel Jackson

Research Areas

Human-Computer Interaction
Programming Languages & Software Engineering
Security & Cryptography

Impact Areas

Big Data
Cybersecurity
Education
Transportation
Wireless
 
Jackson image

Daniel Jackson

Project

Automated Attack Tree Generation for Critical Infrastructure

Model-Based Embedded and Robotics Systems Group
Using AI methods, we are developing an attack tree generator that automatically enumerates cyberattack vectors for industrial control systems in critical infrastructure (electric grids, water networks and transportation systems). The generator can quickly assess cyber risk for a system at scale.
Howard Shrobe

Howard Shrobe

Leads

Howard Shrobe

Howard Shrobe

Research Areas

Security & Cryptography

Impact Areas

Cybersecurity
 
Howard Shrobe

Howard Shrobe

Project

Automatic Speech Recognition

Spoken Language Systems Group
Automatic speech recognition (ASR) has been a grand challenge machine learning problem for decades. Our ongoing research in this area examines the use of deep learning models for distant and noisy recording conditions, multilingual, and low-resource scenarios.

Leads

Hao Tang

Hao Tang

weining_hsu

Wei-Ning Hsu

Harwath-headshot

David Harwath

MIT CSAIL Spoken Language Systems PhD student

Sameer Khurana

Di-Chia Chueh Profile Image

Di-Chia Chueh

Jim Glass

Jim Glass

Research Areas

AI & Machine Learning
Human-Computer Interaction

Impact Areas

Big Data
Education
Entertainment
Health Care
Internet of Things

83 People Results

Chlipala-headshot

PI
Core/Dual

Adam Chlipala

Associate Professor
Programming languages, formal methods, security & privacy, systems
Chlipala-headshot
T 324-8439
RM 32-G842

Lead

Kami: A Modular Deductive Hardware Verification Platform
Compilation Using Correct-by-Construction Program Synthesis
Programming Languages & Verification
Hemiola: Structural Design and Proof of Cache-Coherence Protocols

Member

Compilation Using Correct-by-Construction Program Synthesis
Programming with spaces
Computation Structures Group
FSCQ: File-system verification
Programming languages, formal methods, security & privacy, systems
R. David Edelman

R. David Edelman

Director, Project on Technology, Economy & National Security
Machine learning, cybersecurity, governance
R. David Edelman
T 258-6389
Machine learning, cybersecurity, governance
Gregory Falco

Gregory Falco

Postdoctoral Associate
Dr. Falco is a hacker and expert in IoT and IIoT cybersecurity.
Gregory Falco
Dr. Falco is a hacker and expert in IoT and IIoT cybersecurity.

34 News Results

CSAIL1
Algorithms & Theory Computer Architecture Big Data Cybersecurity Health Care Internet of Things Manufacturing

MIT hosts workshop on theoretical foundations of deep learning

Last week MIT’s Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop aimed at tackling the underlying theory behind deep learning. Led by MIT professor Aleksander Madry, the event focused on a number of research discussions at the intersection of math, statistics, and theoretical computer science.

MIT hosts workshop on theoretical foundations of deep learning

gtown law2
Security & Cryptography Cybersecurity

MIT engineering students team up with Georgetown lawyers-in-training on internet privacy legislation

Every spring, engineering students from MIT and law students from Georgetown University overcome the distance between their institutions and disciplines in a semester-long flurry of virtual classroom meetings and late-night Google hangout sessions, culminating in presentations to policy experts in DC.

MIT engineering students team up with Georgetown lawyers-in-training on internet privacy legislation

bbva1
Algorithms & Theory Security & Cryptography Big Data Cybersecurity Education Entertainment Health Care Internet of Things Manufacturing

Goldwasser, Micali, and Rivest win BBVA Foundation Frontiers of Knowledge Awards

This week it was announced that MIT professors and CSAIL principal investigators Shafi Goldwasser, Silvio Micali, Ronald Rivest, and former MIT professor Adi Shamir won this year’s BBVA Foundation Frontiers of Knowledge Awards in the Information and Communication Technologies category for their work in cryptography.

Goldwasser, Micali, and Rivest win BBVA Foundation Frontiers of Knowledge Awards