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UROP Research Opportunities
The Undergraduate Research Opportunities Program (UROP) cultivates and supports research partnerships between MIT undergraduates and faculty. If you have any questions please contact email@example.com or take a look at the How to UROP at CSAIL document (pdf format).
This program is available to MIT students only.
The Systemic Risk Dashboard is a project to bring together a collection of recognized measures of global "systemic risk" -- measures of financial stress and uncertainty in the global economy that could bring on a global economic downturn. This project, under the leadership of Professors Andrew Lo and Roger Stein, is being done in affiliation with the Consortium for Systemic Risk Analytics (CSRA) and brings together graduate and undergraduate students to work on specific, well-identified analytics developed in academic settings...Posted date: March 18, 2015
One way of studying the human visual system is to develop visual illusions (also called optical illusions) that probe specific aspects of visual processing. The Checker-shadow illusion is a well-known example from our lab. With current tools in 3D graphics and animation it is possible to create increasingly beautiful and powerful illusions. I’m looking for someone with artistic flair, an interest visual perception, and skill in the use of image-related tools such as Photoshop, Illustrator, Blender, and Matlab.
Contact...Posted date: March 16, 2015
MIT App Inventor has opening for UROPs this summer. App Inventor is a Web-based development environment for creating original apps for Android smartphones and tablets. The system is intended for people without programming experience, such as high school and middle school students, college non-computer science students, and hobbyists.
Our group runs a large-scale public Web service, with 3,000,000+ users, that lets people all over the world create their own mobile applications, and lets schools all over the world include mobile computing in school...Posted date: March 16, 2015
Faculty Supervisor: Andrew W. Lo
Project Description: The MIT Laboratory for Financial Engineering (LFE) and the MIT Center for Finance and Policy (CFP) are jointly working on a “systemic risk dashboard” to produce and publish live financial analytics for risk management. The goal is to provide real-time assessment of the systemic risk in the market. Building upon prior research, we are working to create a framework to monitor the financial system using real-time data aggregation and analysis. The main purpose of our...Posted date: March 12, 2015
Data is vital in assessing the severity of a crisis, informing organizations on how to prepare or give aid, and informing the community about an event. Mobile phones in general, and smartphones in particular, are an ideal tool for the collection of this valuable data. However, the development effort required to create smartphone applications is usually substantial. There are technical barriers to entry, and usually long development times. Because of this, traditional mobile application development has been limited in its ability to help disaster relief. Our framework drastically...Posted date: March 12, 2015
This project involves the development of speech interfaces for mobile
devices. Members of the CSAIL Spoken Language Systems group are
developing speech and language processing technologies that enable
natural conversational interaction between humans and machines. This
urop project would be suitable for the student interested in
developing intuitive human computer interfaces on mobile devices that
enable speech, text, and touch as input modalities. Depending on
their particular skill-set and interests, the superurop would be...Posted date: March 12, 2015
The InfoLab group at CSAIL seeks students interested in investigating and creating natural language tools for artificial intelligence. The InfoLab works on question answering, parsing, generating, and more, using both symbolic and statistical techniques. The START question answering system (http://start.csail.mit.edu) provides advanced access to information on the Web and in other databases via natural language. Introductory projects range from integrating knowledge sources to expanding automated methods to...Posted date: March 10, 2015
The traditional approach to privacy has been to prevent access to sensitive information. However, this does not prevent information leaks by those authorized to access it or by being inferred from public data. As an alternative, accountability is a means through we can address appropriate use. Information accountability makes the use of information transparent so it is possible to determine whether a particular use is appropriate under a given set of rules and that the system enables individuals and institutions to be held accountable for misuse. We are developing tools and...Posted date: March 10, 2015
Faculty Advisor: Brian Williams
The Model-based Embedded and Robotic Systems (MERS) group is currently working with the California Institute of Technology, the Jet Propulsion Lab (JPL), and Woods Hole Oceanographic Institute (WHOI) on a project called Resilient Space Systems. The project relies upon model-based reasoning in order to come up with a course of action for the spacecraft which does not exceed a user-specified risk bound. Thus, good models are one of the core building blocks of the RSS project.
The goal of this project is to...Posted date: March 10, 2015
We have an UROP availability to help in the development of new algorithms for analysis on large-scale clinical datasets. Large clinical image collections offer new opportunities for extracting clinically relevant knowledge, but also present challenges due to lower quality of images. Their analysis has many applications in population studies and clinical practice. The project will involve learning and developing algorithms and machine learning techniques to improve image quality and automatically segment and analyze clinical...Posted date: September 30, 2014
The Programming Languages and Verification Group is working on a number of research directions within the Bedrock project. Briefly, Bedrock is about reimagining the software development process to take advantage of machine-checked mathematical proofs at every stage -- we aim for the highest levels of rigor in showing that programs really do what they ought to do. Bedrock exists within the Coq proof assistant, drawing on ideas from such fields as functional...Posted date: September 22, 2014
Research Opportunities for MIT Students in Educational Technology and Mobile Computing
The MIT Center for Mobile Learning (a joint project of CSAIL and the Media Lab) has fall 2014 RAs and UROP positions for work in mobile computing and education. The research involves MIT App Inventor, a Web-based development environment for creating original apps for Android smartphones and tablets. The system is intended for people without programming experience, including high school and middle school students, college non-computer science students, and hobbyists.
Our group runs a large-...Posted date: August 14, 2014
Human cognition is frequently explored with a variety of tests that involve some
form of writing (e.g., solving mazes, drawing objects, etc.). With the ability to
easily capture digitized pen strokes (e.g., with a digitizing ballpoint pen or a stylus
and tablet), the data available from these tests has suddenly become hundreds of
times more precise, opening up new windows into investigating cognition, both
healthy and impaired. Our multi-site study, underway for the past several years,
has been collecting data at 7 sites around the US, providing a robust...Posted date: August 08, 2014
Social software has an inherent network effect, where people have to all use the same system in order to collaborate and interact online. This makes it hard for any new and creative applications to attract enough users to become useful. Even worse, because there is no single system that everyone is willing to use, it has become impossible to deploy any online tools that have the kind of universal reach we're used to with email and the Web.
We are developing "crosscloud" protocols which allow user data to be managed separately from applications, resulting in...Posted date: April 14, 2014
We at the Distributed Robotics Lab explore new ways of answering life-logging questions from mobile cameras, as part of the iDiary project.
Our project uses the coresets framework, along with computer vision and machine learning tools, to do online data mining from android and Google glass devices.
As part of the UROP you will work on building a UI for annotating user activities, and doing activity analysis from the video of the user, and use machine learning and metric learning techniques in order to get better understanding of the user activities.
Lab webpage:...Posted date: April 03, 2014
We at the Sensing Learning and Inference lab seek students who will build the next-generation 3D scanner! Our scanner uses ideas from robotics, computer vision, and computer graphics, and will explore the boundaries between accuracy, energy efficiency, and the interface of 3D scanners with high-level vision tasks.
Lab webpage: http://groups.csail.mit.edu/vision/sli/
Relevant skill-set: C++/CUDA, Arduino. Basic understanding of computer graphics / computer vision / probability...Posted date: April 03, 2014
Background: The current design of the Internet is based on communications flowing between addresses. The underlying model is that communication is between identified or located “parties”. There are a number of novel research approaches that focus communication on “what” is of interest rather than who might be supplying it or where they are. In this project we examine several aspects of these novel designs in order to understand their possibilities and limitations.
The projects: For this summer, we will focus on two distinct efforts. (1) The first is “naming” or identifying the...Posted date: April 02, 2014
Do you know how to code in Julia?
Do you also have some experience in either Python or Matlab?
Are you interested in computer vision, applied statistics or machine learning?
How about large-scale inference and scalable algorithms that can deal with "Big Data"?
The Sensing, Learning and Inference (SLI) group, headed by Dr. John Fisher, is looking to hire a UROP
for implementing and developing tools in the aforementioned fields.
The role includes:
1) Translating some of our in-house algorithms from Python or Matlab to
2) Julia...Posted date: April 01, 2014
We are looking for a few select undergraduates to help transform the
nature of technical and scientific computing as we know it.
The Julia project wants to make it easier than ever to run massively
scalable big data analytics in cloud computing environments. Imagine
spawning a computation over 1,000 cores, with automatic load
balancing, straightforward failure recovery, and simple interprocess
communication. We already have the underpinnings of the system but we
need talented programmers to help us round it out and build numerical
algorithms...Posted date: April 01, 2014
Our research is aimed at developing techniques that enable writing
software for multicore machines that both works correctly and uses the
available concurrency effectively. Earlier work in the group led to
Silo, a very high performance in-memory database system, and work on
Silo is continuing. In addition we are investigating Software
Transactional Memory (STM), an approach that helps with the
correctness problem but at the expense of performance. We are
designing an extension of STM that overcomes the performance problem
and we plan to study...Posted date: March 28, 2014