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

Filter options
Filter options

Filter options Close

Role

Media

Opportunities Available

Research Areas

Impact Areas

Reset Filters

3 Group Results matching all criteria

3 Project Results matching all criteria

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. Now one of the main challenges is to make the system more usable and understandable for the user.
jisoomin
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
jisoomin
 
Jackson image

Daniel Jackson

5 People Results matching all criteria

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

21 Group Results

Research Group

Advanced Network Architecture Group

The challenge that motivates the ANA group is to foster a healthy future for the Internet. The interplay of private sector investment, public sector regulation and public interest advocacy, as well as the global diversity in drivers and aspirations, makes for an uncertain future.
+6
Clark

David Clark

Karen Sollins

Karen Sollins

Leads

Clark

David Clark

Karen Sollins

Karen Sollins

Research Areas

Security & Cryptography
Systems & Networking

Impact Areas

Wireless

Lead

Clark

David Clark

Karen Sollins

Karen Sollins

+6
 
Clark

David Clark

Karen Sollins

Karen Sollins

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.
+7

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

+7

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

57 Project Results

Project

Mavo: Creating Interactive Data-Driven Web Applications by Authoring HTML

Haystack Group
Theory of Computation Group
Mavo is a language that lets anyone turn a static HTML document into a fully functioning reactive web application with data presentation, editing, storage and lightweight computation, all without writing a single line of Javascript or other programming code.
Amy Zhang
Karger

David Karger

Lea Verou

Leads

Karger

David Karger

Lea Verou

Research Areas

Human-Computer Interaction
Programming Languages & Software Engineering
Amy Zhang
 
Karger

David Karger

Lea Verou

Project

Performance Engineering of Cache Profilers

Supertech Research Group
Theory of Computation Group
Our goal is to develop lightweight tools that allow programmers to better understand the cache performance of their applications. Tasks include designing profilers, performance engineering existing ones, and exploring different metrics for cache interactions.

Helen Xu

Professor Charles E. Leiserson

Charles E. Leiserson

Leads

Helen Xu

Professor Charles E. Leiserson

Charles E. Leiserson

Research Areas

Algorithms & Theory
Programming Languages & Software Engineering
 

Helen Xu

Professor Charles E. Leiserson

Charles E. Leiserson

Project

Pervasive Parallelism with the Swarm Architecture

Computation Structures Group
Our research aims to scale hard-to-parallelize applications through new programming models and multicore architectures. Our goal is to enable
programmers to write efficient and scalable parallel programs as easily as they
write sequential programs today.
+3
sanchez-headshot

Daniel Sanchez

Leads

sanchez-headshot

Daniel Sanchez

Research Areas

Computer Architecture
Programming Languages & Software Engineering
Systems & Networking
+3
 
sanchez-headshot

Daniel Sanchez

Project

Privacy-Preserving Decentralized Optimization

To enable privacy preservation in decentralized optimization, differential privacy is the most commonly used approach. However, under such scenario, the trade-off between accuracy (even efficiency) and privacy is inevitable. In this project, distributed numerical optimization scheme incorporated with lightweight cryptographic information sharing are explored. The affect on the convergence rate from network topology is considered.

Hanshen Xiao

Leads

Hanshen Xiao

Research Areas

Algorithms & Theory
AI & Machine Learning
Security & Cryptography

Impact Areas

Cybersecurity
Wireless
 

Hanshen Xiao

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

Program Performance Prediction with Deep Learning

Programming Systems Group
Commit Group
Predicting the number of clock cycles a processor takes to execute a block of assembly instructions in steady-state (the throughput) is important for both compiler designers and performance engineers.

However, building an analytical model to do so is especially complicated in modern x86-64 Complex Instruction Set Computer (CISC) machines with sophisticated processor microarchitectures in that it is tedious, error-prone, and must be performed from scratch for each processor generation.

Ithemal is the first tool that learns to predict the throughput of a set of instructions. It does so more accurately than state-of-the-art hand-written tools currently used in compiler backends and static machine code analyzers. In particular, Ithemal has less than half the error of state-of-the-art analytical models (LLVM's llvm-mca and Intel's IACA).
Michael Carbin
Amarasinghe

Thirimadura Charith Mendis

Leads

Thirimadura Charith Mendis

Research Areas

Programming Languages & Software Engineering

Impact Areas

Big Data
Michael Carbin
Amarasinghe
 

Thirimadura Charith Mendis

47 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
RM 32-G534
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.

Henry Lieberman

Research Scientist
Henry Lieberman is a Research Scientist at MIT CSAIL, in AI and HCI.
Henry Lieberman is a Research Scientist at MIT CSAIL, in AI and HCI.

35 News Results

Ai policy congress 3
Security & Cryptography

AI Policy Congress – Part 1 Governance Challenges

On January 15, 2019, the MIT Internet Policy Research Initiative (IPRI) and Quest for Intelligence (QI) hosted the first MIT AI Policy Congress. The conference brought together global policymakers, technical experts, and industry executives to discuss the impact of AI across sectors, with panels on transportation and safety, manufacturing and labor, healthcare, criminal justice and fairness, national security and defense, and international perspectives.

AI Policy Congress – Part 1 Governance Challenges

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