Research

Impact Areas

Lead

Lalana Kagal

Tim Berners-Lee

Lalana Kagal

Tim Berners-Lee

Research Group

Sussman Lab

We focus on understanding the problem-solving strategies used by scientists and engineers, with the goals of automating parts of the process and formalizing educational methods.

Gerald Sussman

Leads

Gerald Sussman

Research Areas

Impact Areas

Manufacturing

Lead

Gerald Sussman

Research Group

Tidor Lab

We focus on the analysis of complex biological systems at both the molecular level and the systems level.

Bruce Tidor

Leads

Bruce Tidor

Research Areas

Impact Areas

Lead

Bruce Tidor

Research Group

Weiss Laboratory for Synthetic Biology

The Weiss Lab seeks to create integrated biological systems capable of autonomously performing useful tasks, and to elucidate the design principles underlying complex phenotypes.

Leads

Research Areas

Impact Areas

Research Group

Led by Web inventor and Director, Tim Berners-Lee and CEO Jeff Jaffe, the W3C focus is on leading the World Wide Web to its full potential by developing standards, protocols and guidelines that ensure the long-term growth of the Web

Leads

Tim Berners-Lee

Jeffrey Jaffe

Judy Brewer

Research Areas

Impact Areas

Lead

Tim Berners-Lee

Jeffrey Jaffe

Judy Brewer

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.

David Clark

Karen Sollins

Leads

David Clark

Karen Sollins

Research Areas

Impact Areas

Lead

David Clark

Karen Sollins

David Clark

Karen Sollins

Research Group

Computation Structures Group

Our mission is fostering the creation and development of high-performance, reliable and secure computing systems that are easy to interact with.

+21

Leads

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

Research Areas

Impact Areas

Lead

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

Research Group

Networks at MIT

We build new protocols and architectures to improve the robustness and performance of computer networks. We develop practical solutions in wireless networks, network security, traffic engineering, congestion control, and routing.

Dina Katabi

Leads

Dina Katabi

Research Areas

Impact Areas

Lead

Dina Katabi

Research Group

Networks and Mobile Systems

We conduct research in many areas of networking: wireless networks, Internet architecture and protocols, overlay and peer-to-peer networks, sensor networks, network security, and networked systems.

Mohammad Alizadeh

Hari Balakrishnan

Leads

Mohammad Alizadeh

Hari Balakrishnan

Research Areas

Impact Areas

Lead

Mohammad Alizadeh

Hari Balakrishnan

Mohammad Alizadeh

Hari Balakrishnan

Research Group

Parallel and Distributed Operating Systems

We at PDOS build and investigate software systems for parallel and distributed environments.

Leads

Frans Kaashoek

Robert Morris

Nickolai Zeldovich

Adam Belay

Research Areas

Impact Areas

Lead

Frans Kaashoek

Robert Morris

Nickolai Zeldovich

Adam Belay

Research Group

Supertech Research Group

We investigate the technologies that support scalable high-performance computing, including hardware, software, and theory.

Charles E. Leiserson

Neil Thompson

Leads

Charles E. Leiserson

Neil Thompson

Research Areas

Impact Areas

Lead

Charles E. Leiserson

Neil Thompson

Charles E. Leiserson

Neil Thompson

Research Group

Usable Programming Group

We design and study systems that improve the learnability, efficiency, and safety of software development.

Rob Miller

Leads

Rob Miller

Research Areas

Impact Areas

Lead

Rob Miller

Research Group

Multicore Algorithmics

We develop techniques for designing, implementing, and reasoning about multiprocessor algorithms, in particular concurrent data structures for multicore machines and the mathematical foundations of the computation models that govern their behavior.

Nir Shavit

Leads

Nir Shavit

Research Areas

Impact Areas

Energy

Lead

Nir Shavit

Research Group

MIT App Inventor

MIT App Inventor is an intuitive, visual programming environment that allows everyone – even children – to build fully functional apps for smartphones and tablets.

Hal Abelson

Leads

Hal Abelson

Research Areas

Impact Areas

Lead

Hal Abelson

Research Group

Lecturers

Lecturers in CSAIL

Leads

Research Areas

Impact Areas

Community of Research

Systems Community of Research

The Systems CoR is focused on building and investigating large-scale software systems that power modern computers, phones, data centers, and networks, including operating systems, the Internet, wireless networks, databases, and other software infrastructure.

+21

Sam Madden

Leads

Sam Madden

Research Areas

Impact Areas

Lead

Sam Madden

Sam Madden

Community of Research

Cognitive AI Community of Research

This CoR aims to develop AI technology that synthesizes symbolic reasoning, probabilistic reasoning for dealing with uncertainty in the world, and statistical methods for extracting and exploiting regularities in the world, into an integrated picture of intelligence that is informed by computational insights and by cognitive science.

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Impact Areas

Lead

Howard Shrobe

Community of Research

Computing & Society Community of Research

This community is interested in understanding and affecting the interaction between computing systems and society through engineering, computer science and public policy research, education, and public engagement.

Daniel Weitzner

Leads

Daniel Weitzner

Research Areas

Impact Areas

Lead

Daniel Weitzner

Community of Research

Vertical AI Community of Research

This CoR takes a unified approach to cover the full range of research areas required for success in artificial intelligence, including hardware, foundations, software systems, and applications.

Martin Rinard

Leads

Martin Rinard

Research Areas

Impact Areas

Lead

Martin Rinard

Research Group

Data Systems Group

We conduct research on all areas of database systems and information management.

+15

Leads

Sam Madden

Michael Stonebraker

Tim Kraska

Research Areas

Impact Areas

Lead

Sam Madden

Michael Stonebraker

Tim Kraska

+15

46 Project Results matching all criteria

Project

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

Vision Group

We are studying how best to implement bilateral control and make it acceptable to drivers

Berthold Horn

Leads

Berthold Horn

Research Areas

Impact Areas

Model-Based Embedded and Robotics Systems Group

Berthold Horn

Project

RADMAX

This project focuses on holistic decision making for network optimization.

Brian Williams

Howard Shrobe

Leads

Brian Williams

Howard Shrobe

Research Areas

Natural Language Processing Group

Brian Williams

Howard Shrobe

Project

Aspect-Augmented Adversarial Networks for Domain Adaptation

We propose a novel aspect-augmented adversarial network for cross-aspect and cross-domain adaptation tasks. The effectiveness of our approach suggests the potential application of adversarial networks to a broader range of NLP tasks for improved representation learning, such as machine translation and language generation.

Regina Barzilay

Tommi Jaakkola

Leads

Regina Barzilay

Tommi Jaakkola

Research Areas

Regina Barzilay

Tommi Jaakkola

Project

Predictive Modeling for Database Elasticity

This project shows that we can successfully use predictive modeling to enable a database cluster to elastically expand or contract in anticipation of changes in the workload.

Michael Stonebraker

Leads

Michael Stonebraker

Research Areas

Michael Stonebraker

Project

Noria: a new data-flow system for web applications

We're developing a flexible, high-performance storage architecture for database-backed applications, based on a dynamic set of queries specified by the developer which Soup automatically optimizes.

Jon Gjengset

Malte Schwarzkopf

Leads

Jon Gjengset

Malte Schwarzkopf

Research Areas

Impact Areas

Jon Gjengset

Malte Schwarzkopf

Project

Solid: Social Linked Data

Solid aims to radically change the way Web applications work today, resulting in true data ownership as well as improved privacy.

Tim Berners-Lee

Lalana Kagal

Leads

Tim Berners-Lee

Lalana Kagal

Research Areas

Impact Areas

Tim Berners-Lee

Lalana Kagal

Project

AdaptDB: Adaptive Partitioning for Distributed Joins

Our goal is to develop an adaptive storage manager for analytical database workloads in a distributed setting. It works by partitioning datasets across a cluster and incrementally refining data partitioning as queries are run.

Leads

Research Areas

Impact Areas

Project

FSCQ: File-system verification

FSCQ is the first file system with a machine-checkable proof (in the Coq proof assistant) that its implementation meets its specification and whose specification includes behavior under crashes.

Tej Chajed

Leads

Tej Chajed

Research Areas

Networks and Mobile Systems

Tej Chajed

Project

Neural Adaptive Bitrate Streaming using Reinforcement Learning

Reinforcement Learning and Neural Networks are used for boosting bitrate adaptation performance in video streaming, which outperforms state-of-the-arts algorithms by 13.1% - 25.0%.

Leads

Research Areas

Project

Aurum: Large Scale Data Discovery

Aurum is a data discovery system that works at large scale, helping people find relevant data.

Sam Madden

Michael Stonebraker

Leads

Sam Madden

Michael Stonebraker

Research Areas

Impact Areas

Sam Madden

Michael Stonebraker

Project

System that Learns From IoT

Learn valuable knowledge especially anomalies from Internet of Thing with real time responsiveness

Sam Madden

Leads

Sam Madden

Research Areas

Networks and Mobile Systems

Sam Madden

Project

Aggregate Congestion Control

Develop a method for sending persistently backlogged traffic on the Internet while adapting to link conditions dynamically.

Akshay Narayan

Francis Cangialosi

Leads

Akshay Narayan

Francis Cangialosi

Research Areas

Impact Areas

Akshay Narayan

Francis Cangialosi

Project

The Car Can Explain!

Developing techniques to allow self-driving cars and other AI-driven systems to explain behaviors and failures.

Gerald Sussman

Lalana Kagal

Leads

Gerald Sussman

Lalana Kagal

Research Areas

Impact Areas

Computational Connectomics Group

Gerald Sussman

Lalana Kagal

Project

Reconstructing Neural Circuits from Mammalian Brain

We develop algorithms, systems and software architectures for automating reconstruction of accurate representations of neural tissue structures, such as nanometer-scale neurons' morphology and synaptic connections in the mammalian cortex.

Yaron Meirovitch

Nir Shavit

Leads

Yaron Meirovitch

Nir Shavit

Research Areas

Impact Areas

Model-Based Embedded and Robotics Systems Group

Yaron Meirovitch

Nir Shavit

Project

Securing IoT

IoT devices primarily use free embedded Linux which has many security flaws. We are conducting penetration tests on IoT and developing a secure version of embedded Linux.

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Impact Areas

Howard Shrobe

Project

Secure Public-Key Distribution

Our work aims to ensure nobody's listening in on your online activities, whether you are doing online banking or texting your friends via WhatsApp.

Leads

Research Areas

Impact Areas

Project

Denial of Service Mitigation through Protocol Design

We aim to better understand the features of network protocols that facilitate denial of service attacks, in order to design more robust protocols and architectures in the future and evaluate existing designs more accurately.

Karen Sollins

Leads

Karen Sollins

Research Areas

Impact Areas

Karen Sollins

Project

Scaling Filesystems To Many Cores

This project aims at improving filesystem performance on modern multi-core systems, by rethinking filesystem design to enable concurrent operations to scale with the number of cores, while maintaining durability and crash-safety.

Frans Kaashoek

Nickolai Zeldovich

Leads

Frans Kaashoek

Nickolai Zeldovich

Research Areas

Frans Kaashoek

Nickolai Zeldovich

Project

Pervasive Parallelism with the Swarm Architecture

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.

Daniel Sanchez

Victor Ying

Leads

Daniel Sanchez

Victor Ying

Research Areas

Daniel Sanchez

Victor Ying

Project

BlueDBM: Distributed Flash Storage for Big Data Analytics

BlueDBM is an architecture of computer clusters consisting of fast distributed flash storage and in-storage accelerators, which often outperforms larger and more expensive clusters in applications such as graph analytics.

Leads

Research Areas

Impact Areas

Project

Tiramisu Compiler

Commit Group

A polyhedral compiler for expressing image processing, DNN, and linear/tensor algebra applications

Saman Amarasinghe

Leads

Saman Amarasinghe

Research Areas

Impact Areas

Saman Amarasinghe

Project

Data Civilizer

Data scientists universally report that they spend at least 80% of their time finding data sets of interest, accessing them, cleaning them and assembling them into a unified whole.

Michael Stonebraker

Sam Madden

Leads

Michael Stonebraker

Sam Madden

Research Areas

Impact Areas

Michael Stonebraker

Sam Madden

Project

Database Design

The conventional wisdom described in all text books for performing database design is never followed in practice.

Michael Stonebraker

Leads

Michael Stonebraker

Research Areas

Impact Areas

Michael Stonebraker

Project

Data Warehouse Construction

Historically, DBMSs in the warehouse space partitioned their data across a shared nothing
cluster.

Michael Stonebraker

Leads

Michael Stonebraker

Research Areas

Impact Areas

Michael Stonebraker

41 People Results matching all criteria

Venkat Arun

Graduate Student

Congestion control, applied cryptography

E venkatar@MIT.EDU

Congestion control, applied cryptography

Anish Athalye

Graduate Student

PhD student in PDOS

E aathalye@mit.edu

RM 32-G978A

PhD student in PDOS

Jonathan Behrens

Graduate Student

E behrensj@mit.edu

RM 32-G978B

Member

PI
Core/Dual

Adam Belay

Assistant Professor

Operating systems, networking, systems security, and performance

E abelay@CSAIL.MIT.EDU

T 253-0004

Lead

Member

Operating systems, networking, systems security, and performance

Laurent Bindschaedler

Postdoctoral Fellow

Systems for Big Data and ML. ML for Systems.

E bindscha@mit.edu

Member

Systems for Big Data and ML. ML for Systems.

Tej Chajed

Graduate Student

PhD student in systems

E tchajed@csail.mit.edu

RM 32-G978B

Lead

Member

Kami: A Modular Deductive Hardware Verification Platform

PhD student in systems

PI
Core/Dual

Adam Chlipala

Associate Professor

Programming languages, formal methods, security & privacy, systems

E adamc@csail.mit.edu

T 324-8439

Lead

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

Taco: The Tensor Algebra Compiler

Programming languages, formal methods, security & privacy, systems

InHo Cho

Graduate Student

E inhocho@csail.mit.edu

RM 32-G978B

Stephen Chou

Graduate Student

E s3chou@csail.mit.edu

Member

Commit Group

Valentin Churavy

Graduate Student

#JuliaLang, #GPU, #HPC

E vchuravy@MIT.EDU

Member

Julia Lab

Adversarial Cyber Security

#JuliaLang, #GPU, #HPC

PI
Core/Dual

David Clark

Senior Research Scientist

Internet architectures, communications policy, security

E ddc@csail.mit.edu

T 253-6003

Lead

Member

Internet architectures, communications policy, security

Gregory Falco

Research Affiliate

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

E gfalco@mit.edu

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

PI
Core/Dual

Manya Ghobadi

Assistant Professor

Networks, Systems, Hardware

E ghobadi@mit.edu

Member

Networks, Systems, Hardware

Jon Gjengset

Graduate Student

Working on data-flow databases, concurrency, and distributed systems

E jon@thesquareplanet.com

RM 32-G978A

Lead

Member

Cryptography and Information Security Group

Working on data-flow databases, concurrency, and distributed systems

PI
Core/Dual

Shafi Goldwasser

Professor

Theory, cryptography, cybersecurity, complexity

E shafi@csail.mit.edu

T 253-5914

Lead

Complexity Theory Group

Member

Computational Connectomics Group

Theory, cryptography, cybersecurity, complexity

PI
Core/Dual

Frans Kaashoek

Professor

Systems, networks, architectures

E kaashoek@csail.mit.edu

T 253-7149

Lead

Scaling Filesystems To Many Cores

Member

Systems, networks, architectures

PI
Core/Dual

Lalana Kagal

Principal Research Scientist

Privacy, web decentralization, distributed data

E lkagal@csail.mit.edu

T 253-5845

Lead

The Car Can Explain!

Solid: Social Linked Data

PrivacyML - A Privacy Preserving Framework for Machine Learning

Member

Privacy, web decentralization, distributed data

PI
Core/Dual

David Karger

Professor

Helping people manage information

E karger@csail.mit.edu

T 258-6167

Lead

Haystack Group

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

Algorithms Group

Wikum: Bridging Discussion Systems and Wikis with Collective Summarization

Squadbox: Combating Online Harassment using Friendsourced Moderation

Eyebrowse: Social and Public Web Browsing

Talkademic: Motivating Online Academic Discourse

Member

Human-Computer Interaction Community of Research

EQ-Radio: Emotion Recognition using Wireless Signals

Helping people manage information

PI
Core/Dual

Dina Katabi

Professor

Wireless, networks, machine learning

E dina@csail.mit.edu

T 324-6027

Lead

Networks at MIT

Member

Wireless, networks, machine learning

PI
Core/Dual

Tim Kraska

Associate Professor

Systems for ML, ML for Systems, Interactive Data Exploration

E kraska@mit.edu

Lead

Member

Systems for ML, ML for Systems, Interactive Data Exploration

PI
Core/Dual

Sam Madden

Professor

Systems for processing and manipulating data

E madden@csail.mit.edu

T 258-6643

Lead

System that Learns From IoT

Data Civilizer

Autonomous Vehicle Databases

Building a Scalable Database for Autonomous Vehicles

Chameleon: Using Machine Learning to Make Databases Faster!

Data Discovery

Starling: Query Optimization for Cloud Services

Video Data Querying

Member

Systems for processing and manipulating data

Ryan Marcus

Postdoctoral Associate

Machine learning for systems

E ryanmarcus@csail.mit.edu

Member

Machine learning for systems

William Moses

Graduate Student

E wmoses@mit.edu

Lead

Tapir

Seo Jin Park

Postdoctoral Assoicate

E seojin@mit.edu

32 News Results matching all criteria

Systems & Networking

December 03 '20

Hari Balakrishnan awarded Infosys Prize for 2020

The prestigious 2020 Infosys Prize in Engineering and Computer Science was awarded to Hari Balakrishnan, the Fujitsu professor of Electrical Engineering and Computer Science, co-leader of the Networks and Mobile Systems Group within CSAIL, and co-director of MIT’s Center for Wireless Networks and Mobile Computing, for his outstanding contributions to science and research.

Hari Balakrishnan awarded Infosys Prize for 2020

Systems & Networking Big Data

August 10 '20

Data systems that learn to be better

Storage tool adapts to what its datasets’ users want to search.

Data systems that learn to be better

Algorithms & Theory Systems & Networking

July 29 '20

Looking into the black box

Recent advances give theoretical insight into why deep learning networks are successful.

Looking into the black box

Graphics & Vision Programming Languages & Software Engineering Systems & Networking

July 17 '20

Wu receives ACM Doctoral Dissertation Honorable Mention award

ACM, the Association for Computing Machinery announced this week that MIT CSAIL PhD student ‘19 Jiajun Wu was selected for an honorable mention for his dissertation “Learning to See the Physical World.”

Wu receives ACM Doctoral Dissertation Honorable Mention award

AI & ML Security & Cryptography Systems & Networking Health Care

April 09 '20

Automated Covid-19 contact tracing - while preserving privacy

New system uses Bluetooth signals from your smartphone, with the goal of automating Covid-19 contact tracing while preserving privacy

Automated Covid-19 contact tracing - while preserving privacy

Carbin and Mueller named 2020 Sloan Research Fellows 1

Human-Computer Interaction Systems & Networking

February 14 '20

Carbin and Mueller named 2020 Sloan Research Fellows

An MIT-invented algorithm automatically produces a “portamento” effect — a pitch sliding from one note to another — between any two audio signals in real time. The algorithm finds the optimal way to move pitches from one signal into another to produce a smooth transition between sounds (shown here).

AI & ML Graphics & Vision Systems & Networking Entertainment

September 27 '19

Using math to blend musical notes seamlessly

Algorithm enables one audio signal to glide into another, recreating the “portamento” effect of some musical instruments.

Using math to blend musical notes seamlessly

Algorithms & Theory AI & ML Graphics & Vision Programming Languages & Software Engineering Systems & Networking Entertainment Manufacturing

August 05 '19

Computer-aided knitting

New CSAIL research uses machine learning to customize clothing designs

Computer-aided knitting

Algorithms & Theory AI & ML Computational Biology Computer Architecture Graphics & Vision Human-Computer Interaction Programming Languages & Software Engineering Robotics Security & Cryptography Systems & Networking Cybersecurity Education Energy Entertainment Health Care Manufacturing Transportation Wireless

June 27 '19

CSAIL hosts first-ever TEDxMIT

Speakers — all women — discuss everything from gravitational waves to robot nurses

CSAIL hosts first-ever TEDxMIT

AI & ML Graphics & Vision Systems & Networking Health Care Manufacturing

June 18 '19

Teaching artificial intelligence to connect senses like vision and touch

MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

Teaching artificial intelligence to connect senses like vision and touch

Human-Computer Interaction Systems & Networking

April 29 '19

Better email automation

CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.

Better email automation

Algorithms & Theory Graphics & Vision Systems & Networking Health Care

November 29 '18

Higher-res models for creating structures with complex features

Computer scientists often develop mathematical models to understand how animals move, enabling breakthroughs in designing things like microrobotic wings and artificial bone structures.

Higher-res models for creating structures with complex features

Systems & Networking Health Care Wireless

October 18 '18

A step toward personalized, automated smart homes

System that automatically identifies people moving around indoors could enable self-adjusting homes.

A step toward personalized, automated smart homes

Algorithms & Theory Systems & Networking Health Care

May 15 '18

Removing health-care barriers and boundaries

MIT’s Amar Gupta and his wife Poonam were on a trip to Los Angeles in 2016 when she fell and broke both wrists. She was whisked by ambulance to a reputable hospital. But staff informed the couple that they couldn’t treat her there, nor could they find another local hospital that would do so. In the end, the couple was forced to take the hospital’s stunning advice: return to Boston for treatment.

Removing health-care barriers and boundaries

Programming Languages & Software Engineering Systems & Networking Education

April 05 '18

Using friends to fight online harassment

CSAIL’s “Squadbox” uses “friendsourcing” to better support targets of cyberbullying.

Using friends to fight online harassment

Systems & Networking Wireless

April 04 '18

MIT professor wins Association for Computing Machinery Prize in Computing

CSAIL researcher is honored for her contributions to wireless systems

MIT professor wins Association for Computing Machinery Prize in Computing

AI & ML Systems & Networking Health Care Wireless

January 31 '18

Tracking patients’ progress with radio signals and machine learning

Novartis researchers leverage in-house startup initiative to begin digital technology research collaboration.

Tracking patients’ progress with radio signals and machine learning

Algorithms & Theory Programming Languages & Software Engineering Systems & Networking Cybersecurity

December 11 '17

Goldwasser gives briefing on cryptography to Congress

Last week CSAIL principal investigator Shafi Goldwasser spoke about cryptography and privacy as part of the annual congressional briefing of the American Mathematical Society (AMS) and the Mathematical Sciences Research Institute (MSRI).

Goldwasser gives briefing on cryptography to Congress

A new machine-learning system analyzes successful repairs to buggy software and learns how to repair new bugs.

Programming Languages & Software Engineering Systems & Networking

September 29 '17

Bug-repair system learns from example

Anyone who’s downloaded an update to a computer program or phone app knows that most commercial software has bugs and security holes that require regular “patching.” Often, those bugs are simple oversights. For example, the program tries to read data that have already been deleted. The patches, too, are often simple — such as a single line of code that verifies that a data object still exists.

Bug-repair system learns from example

AI & ML Systems & Networking Health Care

August 21 '17

Using machine learning to improve patient care

Doctors are often deluged by signals from charts, test results, and other metrics to keep track of. It can be difficult to integrate and monitor all of these data for multiple patients while making real-time treatment decisions, especially when data is documented inconsistently across hospitals. In a new pair of papers, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) explore ways for computers to help doctors make better medical decisions.

Using machine learning to improve patient care

CSAIL’s open-source Mavo language lets you edit a website right in your browser

Human-Computer Interaction Systems & Networking

May 17 '17

Creating interactive websites, apps with HTML

Ever wish your website could be edited right from the browser?A CSAIL team has developed “Mavo,” a language that lets you create and edit interactive websites and apps with nothing more than HTML.

Creating interactive websites, apps with HTML

At the Usenix Symposium on Networked Systems Design and Implementation, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory will present a new system for allocating bandwidth in data center networks.

Systems & Networking Internet of Things Wireless

March 28 '17

Faster page loads

A webpage today is often the sum of many different components. A user’s home page on a social-networking site, for instance, might display the latest posts from the users’ friends; the associated images, links, and comments; notifications of pending messages and comments on the user’s own posts; a list of events; a list of topics currently driving online discussions; a list of games, some of which are flagged to indicate that it’s the user’s turn; and of course the all-important ads, which the site depends on for revenues.

Faster page loads

Left to right: PhD student Fadel Adib, PhD student Mingmin Zhao, and Professor Dina Katabi pose with their EQ-Radio device, which can detect emotion using wireless signals.

Systems & Networking Wireless

September 20 '16

Detecting emotions with wireless signals

As many a relationship book can tell you, understanding someone else’s emotions can be a difficult task. Facial expressions aren’t always reliable: a smile can conceal frustration, while a poker face might mask a winning hand.But what if technology could tell us how someone is really feeling?Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “EQ-Radio,” a device that can detect a person’s emotions using wireless signals.

Detecting emotions with wireless signals

Humans and machines were given an image of a novel character (top) and asked to produce new versions. A machine generated the nine-character grid on the left.

AI & ML Graphics & Vision Systems & Networking

December 10 '15

Computer drawings fool human judges, pass “visual Turing test”

Researchers at CSAIL, New York University, and the University of Toronto have developed a computer system whose ability to produce a variation of a character in an unfamiliar writing system, on the first try, is indistinguishable from that of humans. That means that the system in some sense discerns what’s essential to the character — its general structure — but also what’s inessential — the minor variations characteristic of any one instance of it.

Computer drawings fool human judges, pass “visual Turing test”

20 Group Results

Research Group

Advanced Network Architecture Group

David Clark

Karen Sollins

Leads

David Clark

Karen Sollins

Research Areas

Impact Areas

Lead

David Clark

Karen Sollins

David Clark

Karen Sollins

Community of Research

Cognitive AI Community of Research

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Impact Areas

Lead

Howard Shrobe

Research Group

Computation Structures Group

Our mission is fostering the creation and development of high-performance, reliable and secure computing systems that are easy to interact with.

+21

Leads

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

Research Areas

Impact Areas

Lead

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

Community of Research

Computing & Society Community of Research

Daniel Weitzner

Leads

Daniel Weitzner

Research Areas

Impact Areas

Lead

Daniel Weitzner

Research Group

Data Systems Group

We conduct research on all areas of database systems and information management.

+15

Leads

Sam Madden

Michael Stonebraker

Tim Kraska

Research Areas

Impact Areas

Lead

Sam Madden

Michael Stonebraker

Tim Kraska

+15

Research Group

Decentralized Information Group

We are investigating decentralized technologies that affect social change.

Lalana Kagal

Tim Berners-Lee

Leads

Lalana Kagal

Tim Berners-Lee

Research Areas

Impact Areas

Lead

Lalana Kagal

Tim Berners-Lee

Lalana Kagal

Tim Berners-Lee

Research Group

Lecturers

Lecturers in CSAIL

Leads

Research Areas

Impact Areas

Research Group

MIT App Inventor

MIT App Inventor is an intuitive, visual programming environment that allows everyone – even children – to build fully functional apps for smartphones and tablets.

Hal Abelson

Leads

Hal Abelson

Research Areas

Impact Areas

Lead

Hal Abelson

Research Group

Multicore Algorithmics

Nir Shavit

Leads

Nir Shavit

Research Areas

Impact Areas

Energy

Lead

Nir Shavit

Research Group

Networks at MIT

Dina Katabi

Leads

Dina Katabi

Research Areas

Impact Areas

Lead

Dina Katabi

Research Group

Networks and Mobile Systems

We conduct research in many areas of networking: wireless networks, Internet architecture and protocols, overlay and peer-to-peer networks, sensor networks, network security, and networked systems.

Mohammad Alizadeh

Hari Balakrishnan

Leads

Mohammad Alizadeh

Hari Balakrishnan

Research Areas

Impact Areas

Lead

Mohammad Alizadeh

Hari Balakrishnan

Mohammad Alizadeh

Hari Balakrishnan

Research Group

Parallel and Distributed Operating Systems

We at PDOS build and investigate software systems for parallel and distributed environments.

Leads

Frans Kaashoek

Robert Morris

Nickolai Zeldovich

Adam Belay

Research Areas

Impact Areas

Lead

Frans Kaashoek

Robert Morris

Nickolai Zeldovich

Adam Belay

Research Group

Supertech Research Group

We investigate the technologies that support scalable high-performance computing, including hardware, software, and theory.

Charles E. Leiserson

Neil Thompson

Leads

Charles E. Leiserson

Neil Thompson

Research Areas

Impact Areas

Lead

Charles E. Leiserson

Neil Thompson

Charles E. Leiserson

Neil Thompson

Research Group

Sussman Lab

We focus on understanding the problem-solving strategies used by scientists and engineers, with the goals of automating parts of the process and formalizing educational methods.

Gerald Sussman

Leads

Gerald Sussman

Research Areas

Impact Areas

Manufacturing

Lead

Gerald Sussman

Community of Research

Systems Community of Research

+21

Sam Madden

Leads

Sam Madden

Research Areas

Impact Areas

Lead

Sam Madden

Sam Madden

Research Group

Tidor Lab

We focus on the analysis of complex biological systems at both the molecular level and the systems level.

Bruce Tidor

Leads

Bruce Tidor

Research Areas

Impact Areas

Lead

Bruce Tidor

Research Group

Usable Programming Group

We design and study systems that improve the learnability, efficiency, and safety of software development.

Rob Miller

Leads

Rob Miller

Research Areas

Impact Areas

Lead

Rob Miller

Community of Research

Vertical AI Community of Research

This CoR takes a unified approach to cover the full range of research areas required for success in artificial intelligence, including hardware, foundations, software systems, and applications.

Martin Rinard

Leads

Martin Rinard

Research Areas

Impact Areas

Lead

Martin Rinard

Research Group

Weiss Laboratory for Synthetic Biology

The Weiss Lab seeks to create integrated biological systems capable of autonomously performing useful tasks, and to elucidate the design principles underlying complex phenotypes.

Leads

Research Areas

Impact Areas

Research Group

World Wide Web Consortium

Leads

Tim Berners-Lee

Jeffrey Jaffe

Judy Brewer

Research Areas

Impact Areas

Lead

Tim Berners-Lee

Jeffrey Jaffe

Judy Brewer

46 Project Results

Project

[Inactive] T-1000: A Thousand-Core Coherent Shared Memory System

(This project is no longer active.) The T-1000, a prototype system of a thousand realistic processors embedded throughout an ensemble of interconnected FPGAs, seeks to demonstrate the scalability of timestamp-based cache coherence protocols on distributed shared memory systems.

Quan Nguyen

Leads

Quan Nguyen

Research Areas

Quan Nguyen

Project

AdaptDB: Adaptive Partitioning for Distributed Joins

Leads

Research Areas

Impact Areas

Networks and Mobile Systems

Project

Aggregate Congestion Control

Develop a method for sending persistently backlogged traffic on the Internet while adapting to link conditions dynamically.

Akshay Narayan

Francis Cangialosi

Leads

Akshay Narayan

Francis Cangialosi

Research Areas

Impact Areas

Akshay Narayan

Francis Cangialosi

Project

Amoeba: A shape changing storage system for big data

Amoeba is a distributed storage system that efficiently supports ad-hoc and exploratory analytics using adaptive data partitioning

Alekh Jindal

Leads

Research Areas

Computer-Aided Programming

Alekh Jindal

Project

An Interlock for Self Driving Cars

Software Design Group

Human-Computer Interaction Community of Research

Self-driving cars are likely to be safer, on average, than human-driven cars. But they may fail in new and catastrophic ways that a human driver could prevent. This project is designing a new architecture for a highly dependable self-driving car.

Daniel Jackson

Armando Solar-Lezama

Leads

Daniel Jackson

Armando Solar-Lezama

Research Areas

Impact Areas

Daniel Jackson

Armando Solar-Lezama

Project

Approximate String Joins with Abbreviations

We propose efficient and effective algorithms to perform approximate string joins with abbreviations in database systems.

Wenbo Tao

Leads

Wenbo Tao

Research Areas

Natural Language Processing Group

Wenbo Tao

Project

Aspect-Augmented Adversarial Networks for Domain Adaptation

Regina Barzilay

Tommi Jaakkola

Leads

Regina Barzilay

Tommi Jaakkola

Research Areas

Regina Barzilay

Tommi Jaakkola

Project

Aurum: Large Scale Data Discovery

Aurum is a data discovery system that works at large scale, helping people find relevant data.

Sam Madden

Michael Stonebraker

Leads

Sam Madden

Michael Stonebraker

Research Areas

Impact Areas

Distributed Robotics Laboratory

Sam Madden

Michael Stonebraker

Project

Better Models for Ride-Sharing

Traffic is not just a nuisance for drivers: It’s also a public health hazard and bad news for the economy.

Leads

Research Areas

Impact Areas

Energy

Project

BlueDBM: Distributed Flash Storage for Big Data Analytics

Leads

Research Areas

Impact Areas

Project

Bridging Theory and Practice in Shared-Memory Parallel Algorithm Design

This project aims to design parallel algorithms for shared-memory machines that are efficient both in theory and also in practice.

Julian Shun

Leads

Julian Shun

Research Areas

Impact Areas

Julian Shun

Project

Building a Scalable Database for Autonomous Vehicles

We are building a database for autonomous vehicle sensor data that addresses the challenges presented by the potential scale of autonomous vehicle data and the unique characteristics of the data.

Leads

Michael Stonebraker

Sam Madden

Oscar Ricardo Moll Thomae

Research Areas

Project

The Car Can Explain!

Developing techniques to allow self-driving cars and other AI-driven systems to explain behaviors and failures.

Gerald Sussman

Lalana Kagal

Leads

Gerald Sussman

Lalana Kagal

Research Areas

Impact Areas

Gerald Sussman

Lalana Kagal

Project

Chameleon: Using Machine Learning to Make Databases Faster!

Our goal is to build a database framework in which the database predicts user queries and builds indexes in advance to allow future queries to run faster.

Leads

Albert Kim

Sam Madden

Aditya Parameswaran

Research Areas

Project

Compression and Reordering for Parallel Graph Analytics

We plan to develop a suite of graph compression and reordering techniques as part of the Ligra parallel graph processing framework to reduce space usage and improve performance of graph algorithms.

Leads

Research Areas

Impact Areas

Project

Data Civilizer

Data scientists universally report that they spend at least 80% of their time finding data sets of interest, accessing them, cleaning them and assembling them into a unified whole.

Michael Stonebraker

Sam Madden

Leads

Michael Stonebraker

Sam Madden

Research Areas

Impact Areas

Michael Stonebraker

Sam Madden

Project

Data Discovery

As part of Data Civilizer we are designing abstractions and building tools and systems to help people with their data-related tasks, from discovering, to cleaning, to transforming it. The aim is to shape the data in a way that is easy to analyzer---for example to fit a model or fill in a report.

Michael Stonebraker

Sam Madden

Leads

Michael Stonebraker

Sam Madden

Research Areas

Michael Stonebraker

Sam Madden

Project

Data Warehouse Construction

Historically, DBMSs in the warehouse space partitioned their data across a shared nothing
cluster.

Michael Stonebraker

Leads

Michael Stonebraker

Research Areas

Impact Areas

Michael Stonebraker

Project

Database Design

The conventional wisdom described in all text books for performing database design is never followed in practice.

Michael Stonebraker

Leads

Michael Stonebraker

Research Areas

Impact Areas

Michael Stonebraker

Project

Denial of Service Mitigation through Protocol Design

Karen Sollins

Leads

Karen Sollins

Research Areas

Impact Areas

Karen Sollins

Project

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

Vision Group

We are studying how best to implement bilateral control and make it acceptable to drivers

Berthold Horn

Leads

Berthold Horn

Research Areas

Impact Areas

Berthold Horn

Project

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

Vision Group

Self-driving cars themselves can solve traffic problems even without global control.

Leads

Research Areas

Project

EQ-Radio: Emotion Recognition using Wireless Signals

Networks at MIT

EQ-Radio can infer a person’s emotions using wireless signals. It transmits an RF signal and analyzes its reflections off a person’s body to recognize his emotional state (happy, sad, etc.).

Dina Katabi

Leads

Dina Katabi

Research Areas

Impact Areas

Entertainment

Dina Katabi

Project

FSCQ: File-system verification

FSCQ is the first file system with a machine-checkable proof (in the Coq proof assistant) that its implementation meets its specification and whose specification includes behavior under crashes.

Tej Chajed

Leads

Tej Chajed

Research Areas

Tej Chajed

41 People Results

Venkat Arun

Graduate Student

Congestion control, applied cryptography

E venkatar@MIT.EDU

Congestion control, applied cryptography

Anish Athalye

Graduate Student

PhD student in PDOS

E aathalye@mit.edu

RM 32-G978A

PhD student in PDOS

Jonathan Behrens

Graduate Student

E behrensj@mit.edu

RM 32-G978B

Member

PI
Core/Dual

Adam Belay

Assistant Professor

Operating systems, networking, systems security, and performance

E abelay@CSAIL.MIT.EDU

T 253-0004

Lead

Member

Operating systems, networking, systems security, and performance

Laurent Bindschaedler

Postdoctoral Fellow

Systems for Big Data and ML. ML for Systems.

E bindscha@mit.edu

Member

Systems for Big Data and ML. ML for Systems.

Tej Chajed

Graduate Student

PhD student in systems

E tchajed@csail.mit.edu

RM 32-G978B

Lead

Member

Kami: A Modular Deductive Hardware Verification Platform

PhD student in systems

PI
Core/Dual

Adam Chlipala

Associate Professor

Programming languages, formal methods, security & privacy, systems

E adamc@csail.mit.edu

T 324-8439

Lead

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

Taco: The Tensor Algebra Compiler

Programming languages, formal methods, security & privacy, systems

InHo Cho

Graduate Student

E inhocho@csail.mit.edu

RM 32-G978B

Stephen Chou

Graduate Student

E s3chou@csail.mit.edu

Member

Commit Group

Valentin Churavy

Graduate Student

#JuliaLang, #GPU, #HPC

E vchuravy@MIT.EDU

Member

Julia Lab

Adversarial Cyber Security

#JuliaLang, #GPU, #HPC

PI
Core/Dual

David Clark

Senior Research Scientist

Internet architectures, communications policy, security

E ddc@csail.mit.edu

T 253-6003

Lead

Member

Internet architectures, communications policy, security

Gregory Falco

Research Affiliate

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

E gfalco@mit.edu

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

PI
Core/Dual

Manya Ghobadi

Assistant Professor

Networks, Systems, Hardware

E ghobadi@mit.edu

Member

Networks, Systems, Hardware

Jon Gjengset

Graduate Student

Working on data-flow databases, concurrency, and distributed systems

E jon@thesquareplanet.com

RM 32-G978A

Lead

Member

Cryptography and Information Security Group

Working on data-flow databases, concurrency, and distributed systems

PI
Core/Dual

Shafi Goldwasser

Professor

Theory, cryptography, cybersecurity, complexity

E shafi@csail.mit.edu

T 253-5914

Lead

Complexity Theory Group

Member

Computational Connectomics Group

Theory, cryptography, cybersecurity, complexity

PI
Core/Dual

Frans Kaashoek

Professor

Systems, networks, architectures

E kaashoek@csail.mit.edu

T 253-7149

Lead

Scaling Filesystems To Many Cores

Member

Systems, networks, architectures

PI
Core/Dual

Lalana Kagal

Principal Research Scientist

Privacy, web decentralization, distributed data

E lkagal@csail.mit.edu

T 253-5845

Lead

The Car Can Explain!

Solid: Social Linked Data

PrivacyML - A Privacy Preserving Framework for Machine Learning

Member

Privacy, web decentralization, distributed data

PI
Core/Dual

David Karger

Professor

Helping people manage information

E karger@csail.mit.edu

T 258-6167

Lead

Haystack Group

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

Algorithms Group

Wikum: Bridging Discussion Systems and Wikis with Collective Summarization

Squadbox: Combating Online Harassment using Friendsourced Moderation

Eyebrowse: Social and Public Web Browsing

Talkademic: Motivating Online Academic Discourse

Member

Human-Computer Interaction Community of Research

EQ-Radio: Emotion Recognition using Wireless Signals

Helping people manage information

PI
Core/Dual

Dina Katabi

Professor

Wireless, networks, machine learning

E dina@csail.mit.edu

T 324-6027

Lead

Networks at MIT

Member

Wireless, networks, machine learning

PI
Core/Dual

Tim Kraska

Associate Professor

Systems for ML, ML for Systems, Interactive Data Exploration

E kraska@mit.edu

Lead

Member

Systems for ML, ML for Systems, Interactive Data Exploration

PI
Core/Dual

Sam Madden

Professor

Systems for processing and manipulating data

E madden@csail.mit.edu

T 258-6643

Lead

System that Learns From IoT

Data Civilizer

Autonomous Vehicle Databases

Building a Scalable Database for Autonomous Vehicles

Chameleon: Using Machine Learning to Make Databases Faster!

Data Discovery

Starling: Query Optimization for Cloud Services

Video Data Querying

Member

Systems for processing and manipulating data

Ryan Marcus

Postdoctoral Associate

Machine learning for systems

E ryanmarcus@csail.mit.edu

Member