Research

Impact Areas

Lead

Una-May O'Reilly

Research Group

Center for Brains, Minds and Machines

Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

Impact Areas

Lead

Tomaso Poggio

Research Group

Clinical Decision-Making Group

We focus on furthering the application of technology and artificial intelligence in medicine and health-care.

+10

Peter Szolovits

Leads

Peter Szolovits

Research Areas

Impact Areas

Lead

Peter Szolovits

+10

Peter Szolovits

Research Group

Clinical Machine Learning Group

Our group is interested in using machine learning and artificial intelligence to transform health care.

David Sontag

Leads

David Sontag

Research Areas

Impact Areas

Lead

David Sontag

Research Group

Computational Biology Group

We seek to understand the mechanistic basis of human disease, using a combination of computational and experimental techniques.

Manolis Kellis

Leads

Manolis Kellis

Research Areas

Impact Areas

Lead

Manolis Kellis

Research Group

Computational Cognitive Science Group

We study the computational basis of human learning and inference.

Joshua Tenenbaum

Leads

Joshua Tenenbaum

Research Areas

Impact Areas

Lead

Joshua Tenenbaum

Research Group

Computational Fabrication Group

Our research centers on digital manufacturing, 3D printing and computer graphics, as well as computational photography and displays, and virtual humans and robotics.

Wojciech Matusik

Leads

Wojciech Matusik

Research Areas

Impact Areas

Lead

Wojciech Matusik

Research Group

Computational Genomics Group

We develop new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.

Dave Gifford

Leads

Dave Gifford

Research Areas

Impact Areas

Lead

Dave Gifford

Research Group

Computational Perception & Cognition

We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

Aude Oliva

Leads

Aude Oliva

Research Areas

Impact Areas

Lead

Aude Oliva

Research Group

Computer Graphics Group

Our group focuses on synthetic image generation and computational photography.

+15

Leads

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Areas

Impact Areas

Lead

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Group

Data-Driven Inference Group

We use machine learning and computer vision to improve outcomes in medicine, finance, and sports

John Guttag

Leads

John Guttag

Research Areas

Impact Areas

Lead

John Guttag

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

Distributed Robotics Laboratory

We aim to develop the science of autonomy toward a future with robots and AI systems integrated into everyday life, supporting people with cognitive and physical tasks.

+15

Daniela Rus

Leads

Daniela Rus

Research Areas

Impact Areas

Lead

Daniela Rus

Daniela Rus

Research Group

Genesis Group

The Genesis Group focuses on developing an account of human intelligence with special
emphasis on developing computational models of how people tell, perceive and understand
stories.

Leads

Research Areas

Impact Areas

Research Group

Haystack Group

We are an interdisciplinary group of researchers blending approaches from human-computer interaction, social computing, databases, information management, and databases.

Lea Verou

David Karger

Leads

David Karger

Research Areas

Impact Areas

Internet of Things

Lead

David Karger

Lea Verou

David Karger

Research Group

HCI Engineering Group

We work at the intersection of human computer interaction and personal fabrication tools.

Stefanie Mueller

Leads

Stefanie Mueller

Research Areas

Impact Areas

Lead

Stefanie Mueller

Research Group

Randall Davis

Fredo Durand

Daniel Jackson

David Karger

Rob Miller

Stefanie Mueller

Research Areas

Lead

Randall Davis

Fredo Durand

Daniel Jackson

David Karger

Rob Miller

Stefanie Mueller

Research Group

Imagination, Computation, and Expression Laboratory (ICE Lab)

We develop computing systems for creative expression, cultural analysis, and social change.

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Lead

D. Fox Harrell

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Research Group

Interactive Robotics Group

The Interactive Robotics Group aims to imagine the future of work by designing collaborative robot teammates that enhance human capability.

Julie Shah

Leads

Julie Shah

Research Areas

Impact Areas

Lead

Julie Shah

Research Group

Infolab

We investigate language in different contexts: from how it is learned, to how it is grounded in visual perception, all the way to how machines can readily interact with humans.

Boris Katz

Leads

Boris Katz

Research Areas

Impact Areas

Lead

Boris Katz

Research Group

Learning and Intelligent Systems

We conduct interdisciplinary research aimed at discovering the principles underlying the design of artificially intelligent robots.

Leslie Kaelbling

Tomas Lozano-Perez

Leads

Leslie Kaelbling

Tomas Lozano-Perez

Research Areas

Impact Areas

Lead

Leslie Kaelbling

Tomas Lozano-Perez

Leslie Kaelbling

Tomas Lozano-Perez

Research Group

Machine Learning

We work on a variety of topics spanning theoretical foundations, algorithms, and applications.

Leads

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Areas

Impact Areas

Lead

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Group

Marine Robotics Group

Our projects are centered around the problems of navigation and mapping for autonomous mobile robots operating in underwater and terrestrial environments.

John Leonard

Leads

John Leonard

Research Areas

Impact Areas

Energy

Lead

John Leonard

Research Group

Medical Vision Group

We develop new algorithms for medical image analysis and visualization of medical imagery.

+10

Polina Golland

Leads

Polina Golland

Research Areas

Impact Areas

Lead

Polina Golland

+10

Polina Golland

289 Project Results matching all criteria

Project

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

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

Computational Bounce Flash for Indoor Portraits

To achieve high-quality photo lighting in challenging environments, our prototype camera dynamically reconstructs a 3D scene model and directs a motor-controlled flash head at nearby walls and ceilings for soft indirect illumination.

Lukas Murmann

Leads

Lukas Murmann

Research Areas

Impact Areas

Lukas Murmann

Project

Predictive Vision

We've developed an algorithm to anticipate visual events that may happen in the future

Leads

Research Areas

Computational Cognitive Science Group

Project

Neural Physics Engine

We've developed an object-based neural network architecture for learning predictive models of intuitive physics that extrapolates to variable object count and variable scene configurations with only spatially and temporally local computation.

Leads

Project

Using Computers to Eat Healthier

Spoken Language Systems Group

Our goal is to build an AI-powered personal digital nutritionist that enables users to track the food they eat simply by speaking or typing natural English phrases.

Leads

Research Areas

Impact Areas

Model-Based Embedded and Robotics Systems Group

Project

RADMAX

This project focuses on holistic decision making for network optimization.

Brian Williams

Howard Shrobe

Leads

Brian Williams

Howard Shrobe

Research Areas

Computational Cognitive Science Group

Brian Williams

Howard Shrobe

Project

A Counterfactual Simulation Model of Causal Judgment

We develop a computational model that explains how people make causal judgments in physical scenes by mentally simulating counterfactual outcomes and comparing those to what actually happened.

Leads

Research Areas

Impact Areas

Project

Artificial Co-driver

By observing driver in real road situations, we learn a computer assistant that can make driving easier, safer and more enjoyable.

Leads

Research Areas

Impact Areas

Natural Language Processing Group

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

SoundNet

This project focuses on learning sound representations from unlabeled video

Leads

Research Areas

Project

Where Are They Looking?

Our goal is to build a system that predicts where people are looking in images. Given an image and the location of a head, our approach follows the gaze of the person and identifies the object being looked at.

Leads

Research Areas

Impact Areas

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

Covering All K-mers Using Joker Characters

Computation and Biology

We developed a new algorithm to generate compact sequence sets covering all k-mers using joker characters.

Bonnie Berger

Leads

Bonnie Berger

Research Areas

Model-Based Embedded and Robotics Systems Group

Bonnie Berger

Project

Finite Approximations of Infinite Models

Machine Learning

Many modern Bayesian models involve infinitely many latent parameters. We seek to develop finite approximations which are more tractable for use in practice, and characterize their incurred error.

Leads

Project

Tractable Models of Sparse Networks

Machine Learning

Most popular, tractable statistical models for network data inherently assume the network is dense, although this is rarely true in practice; we propose a new modeling framework that correctly captures sparse networks.

Leads

Project

Geordi: A Driver's Assistant for Risk-bounded Maneuvering

Our goal is to create an online risk-aware planner for vehicle maneuvers that can make driving safer and less stressful through a “parallel” autonomous system that assists the driver by watching for risky situations, and by helping the driver take proactive, compensating actions before they become crises.

Brian Williams

Leads

Brian Williams

Research Areas

Impact Areas

Parallel and Distributed Operating Systems

Brian Williams

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

Single-Image 3D Interpreter Network

We aim to understand 3D object structure from a single image. We propose an end-to-end framework which sequentially estimates 2D keypoint heatmaps and 3D object structure, by training it on both real 2D-annotated images and synthetic 3D data and by integrating a 3D-to-2D projection layer.

Leads

Research Areas

Impact Areas

Distributed Robotics Laboratory

Project

Printable Hydraulics

Printable Hydraulics allows fluid-actuated robots to be automatically fabricated using 3D printers.

Youbin Kim

Leads

Research Areas

Impact Areas

Energy

Youbin Kim

Project

Matrix Permanents and Linear Optics

Complexity Theory Group

We use tools from quantum physics to prove new results in classical complexity.

Leads

Research Areas

Project

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

In our work we developed a model that is able to synthesize many probable future frames with just a single image as input.

Leads

Research Areas

Decentralized Information Group

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

Internet of Things

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.

Yi Lu

Leads

Yi Lu

Research Areas

Impact Areas

Yi Lu

Project

Wikum: Bridging Discussion Systems and Wikis with Collective Summarization

Haystack Group

We build tools to allow a community of people to collectively summarize large discussions online and manage knowledge embedded within these discussions.

Lea Verou

David Karger

Leads

David Karger

Research Areas

Impact Areas

Tactile and Physical Perception

Lea Verou

David Karger

29 People Results matching all criteria

Venkat Arun

Graduate Student

Congestion control, applied cryptography

E venkatar@MIT.EDU

Congestion control, applied cryptography

Manel Baradad

Graduate Student

E mbaradad@mit.edu

Thomas Bourgeat

Graduate Student

E bthom@csail.mit.edu

Lijie Chen

Graduate Student

E lijieche@MIT.EDU

Mustafa Doga Dogan

Graduate Student

E doga@mit.edu

Member

HCI Engineering Group

Amar Gupta

Temporary Visiting Professor

E agupta@MIT.EDU

T 253-0418

Mirai Ikebuchi

Graduate Student

E ikebuchi@mit.edu

Gregory Izatt

Graduate Student

E gregory.izatt@gmail.com

Lead

Member

Tactile and Physical Perception

Robot Locomotion Group

Majid Khonji

Research Affiliate

E khonji@csail.mit.edu

Georg Langs

Research Affiliate

E langs@CSAIL.MIT.EDU

Member

Medical Vision Group

Guillaume Leclerc

Graduate Student

E leclerc@mit.edu

Tianhong Li

Graduate Student

E TIANHONG@csail.mit.edu

Jamie Macbeth

Research Affiliate

In-Depth Natural Language Understanding, Human-Computer Interaction

E jmacbeth@mit.edu

In-Depth Natural Language Understanding, Human-Computer Interaction

Hongzi Mao

Graduate Student

E hongzi@mit.edu

Lead

Neural Adaptive Bitrate Streaming using Reinforcement Learning

Member

Networks and Mobile Systems

Tobia Marcucci

Graduate Student

E tobiam@csail.mit.edu

Slobodan Mitrovic

Postdoctoral Fellow

E slobo@mit.edu

Bowen Pan

Graduate Student

E bpan@mit.edu

Clement Pit-Claudel

Graduate Student

E cpitcla@mit.edu

Member

Compilation Using Correct-by-Construction Program Synthesis

Programming Languages & Verification

Xavier Puig Fernandez

Graduate Student

E xpuig@mit.edu

Lead

Learning Vision in Synthetic Environments

VirtualHome: Representing Activities as Programs

Member

Semantic Scene Understanding through ADE20K dataset

Adria Recasens Continente

Graduate Student

E arecasens@gmail.com

Member

Crossing the Vision-Language Boundary

Manuel Sabin

Visiting Student

E msabin@mit.edu

Wilko Schwarting

Graduate Student

E wilkos@mit.edu

Lead

Safety Standards for Autonomous Vehicles

Planning in Congestion for Autonomous Vehicles

Socially-Compliant Behavior for Autonomous Driving

Member

Self-Driving Vehicles

Distributed Robotics Laboratory

Kurran Singh

Visiting Student

E singhk@csail.mit.edu

RM 32-220A

Emine Nesime Tatbul Bitim

Visiting Scientist

E tatbul@csail.mit.edu

T 253-7328

Member

1490 News Results matching all criteria

December 04 '19

Hari Balakrishnan named 2020 IEEE Fellow

The professor was elected for his contributions to the design and application of mobile sensing systems.

Hari Balakrishnan named 2020 IEEE Fellow

November 27 '19

Producing better guides for medical-image analysis

Model quickly generates brain scan templates that represent a given patient population.

Producing better guides for medical-image analysis

Security & Cryptography

November 22 '19

Daniel Weitzner named National Academy of Public Administration 2019 Fellow

November 22 '19

MIT AI conference aims to prepare workers for the jobs of the future

As automation rises in the workplace, speakers explore ways to train students and reskill workers.

MIT AI conference aims to prepare workers for the jobs of the future

MIT-invented model efficiently and simultaneously optimizes control and design of soft robots for target tasks,

November 21 '19

How to design and control robots with stretchy, flexible bodies

Optimizing soft robots to perform specific tasks is a huge computational problem, but a new model can help.

How to design and control robots with stretchy, flexible bodies

November 19 '19

Bot beats humans in hidden-identity games

Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.

Bot beats humans in hidden-identity games

November 18 '19

Predicting people's driving personalities

New system sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?

Predicting people's driving personalities

Algorithms & Theory AI & Machine Learning Robotics

November 13 '19

Autonomous system improves environmental sampling at sea

Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.

Autonomous system improves environmental sampling at sea

November 04 '19

Better autonomous “reasoning” at tricky intersections

CSAIL/Toyota model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.

Better autonomous “reasoning” at tricky intersections

November 01 '19

William Freeman wins ICCV career award

Freeman was honored for his contributions to the field of computer vision

William Freeman wins ICCV career award

AI & Machine Learning Robotics Manufacturing Transportation

October 30 '19

Self-transforming robot blocks jump, spin, flip, and identify each other

Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, a team of robots can self-assemble to form different structures with applications in inspection, disaster response, and manufacturing

Self-transforming robot blocks jump, spin, flip, and identify each other

Algorithms & Theory AI & Machine Learning

October 29 '19

Pushy robots learn the fundamentals of object manipulation

Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.

Pushy robots learn the fundamentals of object manipulation

Algorithms & Theory AI & Machine Learning Robotics

October 29 '19

Deep learning with point clouds

Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.

Deep learning with point clouds

Algorithms & Theory Health Care

October 29 '19

Recovering “lost dimensions” of images and video

Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.

Recovering “lost dimensions” of images and video

October 27 '19

Helping self-driving cars see around corners

By sensing tiny changes in shadows, CSAIL's new system identifies approaching objects that may cause a collision

Helping self-driving cars see around corners

AI & Machine Learning

October 24 '19

Better fact-checking for fake news

New research reveals biases in fake news datasets and improves the use of automatic detectors.

Better fact-checking for fake news

October 16 '19

Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units (TPUs)

On October 16, 2019, Prof. David Patterson, UC Berkeley professor emeritus, Google distinguished engineer, and RISC-V Foundation vice-chair, gave a Dertouzos Distinguished Lecture at CSAIL / MIT, entitled 'Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units (TPUs).'

Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units (TPUs)

David Clark, Cecilia Testart and Philipp Richter

October 09 '19

Using machine learning to hunt down cybercriminals

CSAIL model identifies “serial hijackers” of internet IP addresses.

Using machine learning to hunt down cybercriminals

Programming Languages & Software Engineering

October 02 '19

Alan Edelman of MIT Recognized with Prestigious 2019 IEEE Computer Society Sidney Fernbach Award

Alan Edelman, professor of applied mathematics at MIT, has been selected to receive the 2019 IEEE Computer Society Sidney Fernbach Award.

Alan Edelman of MIT Recognized with Prestigious 2019 IEEE Computer Society Sidney Fernbach Award

October 02 '19

Better fetal health - by building a map of the placenta

New technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.

Better fetal health - by building a map of the placenta

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).

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

Computational Biology

September 25 '19

Josh Tenenbaum receives 2019 MacArthur Fellowship

Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.

Josh Tenenbaum receives 2019 MacArthur Fellowship

photo of Yoshua Bengio, credit Maryse Boyce

September 18 '19

Learning High-Level Representations for Agents

Septmeber 18, 2019 - Prof. Yoshua Bengio, Prof. University of Montreal, and Scientific Director, Mila, gave a Dertouzos Distinguished Lecture at CSAIL entitled 'Learning High-Level Representations for Agents'

Learning High-Level Representations for Agents

September 12 '19

How hardware wallets could transform computer security

The key to computer security: not relying on the computer

How hardware wallets could transform computer security

66 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.

David Clark

Karen Sollins

Leads

David Clark

Karen Sollins

Research Areas

Impact Areas

Lead

David Clark

Karen Sollins

David Clark

Karen Sollins

Research Group

Anyscale Learning for All ALFA

Our vision is data-driven machine learning systems that advance the quality of healthcare, the understanding of cyber arms races and the delivery of online education.

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Impact Areas

Lead

Una-May O'Reilly

Research Group

Applied Computing Group

We design software for high performance computing, develop algorithms for numerical linear algebra, and research random matrix theory and its applications.

Alan Edelman

Leads

Alan Edelman

Research Areas

Impact Areas

Lead

Alan Edelman

Research Group

Broderick Lab

We work in the areas of statistics and machine learning.

Tamara Broderick

Leads

Tamara Broderick

Research Areas

Impact Areas

Lead

Tamara Broderick

Research Group

Center for Brains, Minds and Machines

Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

Impact Areas

Lead

Tomaso Poggio

Research Group

Clinical Decision-Making Group

We focus on furthering the application of technology and artificial intelligence in medicine and health-care.

+10

Peter Szolovits

Leads

Peter Szolovits

Research Areas

Impact Areas

Lead

Peter Szolovits

+10

Peter Szolovits

Research Group

Clinical Machine Learning Group

Our group is interested in using machine learning and artificial intelligence to transform health care.

David Sontag

Leads

David Sontag

Research Areas

Impact Areas

Lead

David Sontag

Research Group

Commit Group

We focus on finding novel approaches to improve the performance of modern computer systems without unduly increasing the complexity faced by application developers, compiler writers, or computer architects.

Saman Amarasinghe

Leads

Saman Amarasinghe

Research Areas

Computer Architecture

Impact Areas

Lead

Saman Amarasinghe

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

Shafi Goldwasser

Ronitt Rubinfeld

Michael Sipser

Ryan Williams

Virginia Vassilevska Williams

Research Areas

Impact Areas

Lead

Shafi Goldwasser

Ronitt Rubinfeld

Michael Sipser

Ryan Williams

Virginia Vassilevska Williams

Research Group

Computation and Biology

Our lab focuses on designing algorithms to gain biological insights from advances in automated data collection and the subsequent large data sets drawn from them.

Bonnie Berger

Leads

Bonnie Berger

Research Areas

Impact Areas

Lead

Bonnie Berger

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.

+23

Leads

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

Research Areas

Computer Architecture

Impact Areas

Lead

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

+23

Research Group

Computational Biology Group

We seek to understand the mechanistic basis of human disease, using a combination of computational and experimental techniques.

Manolis Kellis

Leads

Manolis Kellis

Research Areas

Impact Areas

Lead

Manolis Kellis

Research Group

Computational Cognitive Science Group

We study the computational basis of human learning and inference.

Joshua Tenenbaum

Leads

Joshua Tenenbaum

Research Areas

Impact Areas

Lead

Joshua Tenenbaum

Research Group

Computational Connectomics Group

Our group’s goal is to create, based on such microscopic connectivity and functional data, new mathematical models explaining how neural tissue computes.

Nir Shavit

Leads

Nir Shavit

Research Areas

Impact Areas

Lead

Nir Shavit

Research Group

Computational Fabrication Group

Our research centers on digital manufacturing, 3D printing and computer graphics, as well as computational photography and displays, and virtual humans and robotics.

Wojciech Matusik

Leads

Wojciech Matusik

Research Areas

Impact Areas

Lead

Wojciech Matusik

Research Group

Computational Genomics Group

We develop new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.

Dave Gifford

Leads

Dave Gifford

Research Areas

Impact Areas

Lead

Dave Gifford

Research Group

Computational Perception & Cognition

We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

Aude Oliva

Leads

Aude Oliva

Research Areas

Impact Areas

Lead

Aude Oliva

Research Group

Computer Graphics Group

Our group focuses on synthetic image generation and computational photography.

+15

Leads

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Areas

Impact Areas

Lead

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Group

Computer-Aided Programming

We develop techniques and tools that exploit automated reasoning and large amounts of computing power to tackle challenging programming problems

Armando Solar-Lezama

Leads

Armando Solar-Lezama

Research Areas

Impact Areas

Lead

Armando Solar-Lezama

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

Shafi Goldwasser

Silvio Micali

Ronald Rivest

Vinod Vaikuntanathan

Butler Lampson

Research Areas

Impact Areas

Lead

Shafi Goldwasser

Silvio Micali

Ronald Rivest

Vinod Vaikuntanathan

Butler Lampson

Research Group

Data Systems Group

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

+16

Leads

Sam Madden

Michael Stonebraker

Tim Kraska

Research Areas

Impact Areas

Lead

Sam Madden

Michael Stonebraker

Tim Kraska

+16

Research Group

Data-Driven Inference Group

We use machine learning and computer vision to improve outcomes in medicine, finance, and sports

John Guttag

Leads

John Guttag

Research Areas

Impact Areas

Lead

John Guttag

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

Distributed Robotics Laboratory

We aim to develop the science of autonomy toward a future with robots and AI systems integrated into everyday life, supporting people with cognitive and physical tasks.

+15

Daniela Rus

Leads

Daniela Rus

Research Areas

Impact Areas

Lead

Daniela Rus

Daniela Rus

289 Project Results

Project

3D Generative Adversarial Networks

We study the problem of 3D object generation. We propose a novel framework, 3D Generative Adversarial Network (3D-GAN), leveraging recent advances in volumetric convolutional networks and generative adversarial nets.

Leads

Research Areas

Impact Areas

Computational Fabrication Group

Project

3D-Printed Organic Solar Cells

Using our inkjet printer system, the goal of this project is to produce a light sensor / solar cell that is composed entirely of 3D printed materials.

James Minor

Leads

James Minor

Research Areas

Impact Areas

Computation Structures Group

James Minor

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

Computer Architecture

Computational Cognitive Science Group

Quan Nguyen

Project

A Counterfactual Simulation Model of Causal Judgment

We develop a computational model that explains how people make causal judgments in physical scenes by mentally simulating counterfactual outcomes and comparing those to what actually happened.

Leads

Research Areas

Impact Areas

Computation Structures Group

Project

A new way of handling all-to-all broadcast

We design a new all-to-all broadcasts scheme with significantly less communication cost using aggregate signatures.

Alin Tomescu

Jun Wan

Leads

Jun Wan

Research Areas

Alin Tomescu

Jun Wan

Project

A Simplified and Extensible Cilk Runtime for Research

CilkS is a new runtime system for the Cilk multithreaded programming environment which makes it easy to experiment with new algorithms, data structures, and programming linguistics.

Charles E. Leiserson

Tao Schardl

Leads

Charles E. Leiserson

Tao Schardl

Research Areas

Learning and Intelligent Systems

Charles E. Leiserson

Tao Schardl

Project

Active Learning of Models for Planning

Machine Learning

We aim to develop a systematic framework for robots to build models of the world and to use these to make effective and safe choices of actions to take in complex scenarios.

Leads

Zi Wang

Leslie Kaelbling

Tomas Lozano-Perez

Research Areas

Impact Areas

Project

AdaptDB: Adaptive Partitioning for Distributed Joins

Yi Lu

Leads

Yi Lu

Research Areas

Impact Areas

Anyscale Learning for All ALFA

Yi Lu

Project

Adversarial Cyber Security

Our goal is to understand the nature of cyber security arms races between malicious and bonafide parties. Our vision is autonomous cyber defenses that anticipate and take measures against counter attacks.

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Impact Areas

Networks and Mobile Systems

Una-May O'Reilly

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

Imagination, Computation, and Expression Laboratory (ICE Lab)

Akshay Narayan

Francis Cangialosi

Project

AIRvatar System: A Framework for Analyzing Virtual Identities

AIRvatar is a system that telemetrically collects and analyzes fine-grained data on users’ virtual identities and the process used to create them.

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

D. Fox Harrell

Project

Algebraic Techniques for Algorithm Design

We work on improving the algorithms for algebraic problems like matrix multiplication, and using these to design algorithms for fundamental non-algebraic problems.

Virginia Vassilevska Williams

Leads

Virginia Vassilevska Williams

Research Areas

Virginia Vassilevska Williams

Project

Algorithmic Aspects of Performance Engineering

Supertech Research Group

The project concerns algorithmic solutions for writing fast codes.

Leads

Research Areas

Impact Areas

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.

Daniel Jackson

Leads

Daniel Jackson

Research Areas

Impact Areas

Daniel Jackson

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

Anil Shanbhag

Leads

Anil Shanbhag

Research Areas

Theory of Distributed Systems Group

Alekh Jindal

Anil Shanbhag

Project

An Algorithmic Theory of Brain Networks

We are developing an algorithmic theory for brain networks, based on simple synchronized stochastic graph-based neural network models.

Nancy Lynch

Leads

Nancy Lynch

Research Areas

Computer-Aided Programming

Nancy Lynch

Project

An Interlock for Self Driving Cars

Software Design Group

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

Analyzing Player Profile Data

Developing new methods for analyzing large quantities of player profile data, such as hundreds of thousands of profile images or chat logs.

D. Fox Harrell

Peter Mawhorter

Leads

D. Fox Harrell

Peter Mawhorter

Research Areas

Interactive Robotics Group

D. Fox Harrell

Peter Mawhorter

Project

Apprenticeship Scheduling: Learning to Schedule From Human Experts

Robot scheduling via learning from demonstration for tasks in medicine and more

Leads

Research Areas

Impact Areas

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

Wenbo Tao

Project

Approximating the diameter of a directed graph

There is a family of approximation algorithms for computing the diameter of an undirected graph that give a time/accuracy trade-off and our goal is to extend these results to directed graphs.

Virginia Vassilevska Williams

Leads

Virginia Vassilevska Williams

Research Areas

Spoken Language Systems Group

Virginia Vassilevska Williams

Project

Arabic Language Processing

The Arabic language is spoken by over one billion people around the world. Arabic presents a variety of challenges for speech and language processing technologies. In our group, we have several research topics examining Arabic, including dialect identification, speech recognition, machine translation, and language processing.

Leads

Ramy Baly

Yonatan Belinkov

Mitra Mohtarami

Research Areas

Project

Artificial Co-driver

By observing driver in real road situations, we learn a computer assistant that can make driving easier, safer and more enjoyable.

Leads

Research Areas

Impact Areas