| Researcher(s) |
Prerequisites |
Summary |
| Tuesday, September 13, 2016 |
| Yudong Yang |
familiarity with lower-lever socket programming and Linux networking kernel |
Network queue design (OpenWrt programming) |
| Matei Ciocarlie |
Required: strong math (linear algebra, calculus) background, C++ programming, large project software engineering. Nice to have: rigid body dynamics, statics, robotics (inverse and forward kinematics, differential kinematics, etc.). |
Cloud-based physics simulation for robotic manipulation |
| Matthew J Connelly (History Lab/Freedom of Information Archive) |
Preferred academic foundation in postwar history or political science, and/or computer/information science background with experience in NLP, machine learning, or related data mining techniques. |
We are a team of historians, computer scientists and statisticians that apply data science methods to historical documents. The mission of the history lab is to use computational methods to recover and repair the fabric of the past. We are beginning with declassified documents, which include some of the earliest examples of electronic records. By bringing together fragmented collections in a common database, we can use natural language processing and machine learning tools to explore them. The ultimate goal is to develop history as a data science so that citizens can keep government accountable in the age of big data. |
| Adrian Tang |
Systems-level development, assembly/C programming |
Systems Security Research / Malware Analysis and Detection (TBA) |
| Kanad Sinha |
Good C/C++ knowledge. Experience with GCC a huge plus. |
Use a hardware-software approach to develop an alternate to virtual address space wherein the address progression sequence is non-linear and randomized with secret key. This invalidates some basic attacker assumptions and would make programs a lot more secure. |
| David Williams-King |
Strong C or C++ programming skills. Experience with operating systems, assembly language, and/or debuggers is a plus. This project involves working with binaries produced by ordinary compilers, and figuring out how to transform the code to be security-hardened. |
Egalito: low-level program security through code transformation. I have worked on continuous code randomization in the past and am looking to build a generic framework that allows any kind of binary transformations. |
| Itsik Pe'er |
background in probability and statistics |
Multiple projects in precision medicine |
| Dustin Tran |
Strong programming skills in Python, knowledgeable of essential statistics and probability; preferably experience and interest in probabilistic models, neural networks, Bayesian analysis, and/or TensorFlow |
The project will be on either research or engineering problems within Edward, a library for probabilistic modeling, inference, and criticism. |
| Kriste Krstovski |
Prior programming experience, especially with Javascript (e.g. node.js, express.js and react.js) and Python (e.g. flask, numpy and scipy). The ideal candidate would have prior programming experience similar to the role of a full-stack web developer. Experience with web services and/or databases is a definite plus. |
At the Blei Lab we are developing the next generation recommender systems for the scientific literature using statistical machine learning approaches. In collaboration with ArXiv we are currently developing a new scholarly literature browser which will be able to extract knowledge implicit in the mathematical and scientific literature, offer advanced mathematical search capabilities and provide personalized recommendations. |
| Zhizun Zhang |
SQL, Python, data science |
Analyzing regulatory filings and designing early warning systems for oil and gas industry
Adapting data science approach to uncover the hidden trends of companies' compliance cultures.
PI: Prof. Venkat Venkatasubramanian |
| Kunal Mahajan |
Basic knowledge about Networks |
The project is developing a new routing/flow scheduling algorithm for data centers using Software-Defined Networking (SDN). The project will involve conducting experiments on a physical testbed and comparing the algorithm's efficiency with existing algorithms. |
| Stuart Hadfield |
Programming experience (Python/C/C++/Matlab/Mathematica/etc.). Numerical linear algebra. Computer Science theory such as analysis of algorithms and complexity. General Mathematics and Physics knowledge is helpful. |
Quantum Computation is an exciting future computing technology. Several projects are available depending on student background and interests. |
| Wednesday, September 14, 2016 |
| Melody Ju |
|
Various projects from Kathy McKeown's NLP lab |
| Theofilos Petsios |
Knowledge of Python & SQL will be helpful but not a prerequisite |
Security properties & attack vectors in modern OSes |
| Suman Jana |
Strong C/Python/Java coding skills and willingness to read/modify large open source code bases |
Automatically finding security vulnerabilities |
| Steve Feiner |
We're looking for students who have done excellent work in at least one of the following courses or equivalents: COMS W4160 (Computer graphics), COMS W4170 (User interface design), COMS W4172 (3D user interfaces and augmented reality), combined with software design and development expertise. For those projects involving 3D user interfaces, we're especially interested in students with Unity 3D experience. |
Research in the design of 2D and 3D user interfaces, including augmented reality and virtual reality, and mobile and wearable systems, indoors and outdoors. We use a range of displays and interaction devices: head-worn, hand-held, and table-top, individually and in combination. Multidisciplinary projects potentially involve collaboration with faculty in other departments and schools, and include the development of 2D mobile healthcare apps. |
| Prof. Shih-Fu Chang, Zheng Shou (PhD), Alireza Zareian (PhD) |
Hands-on experience with Linux, Python programming and at least one of the following items: Computer Vision, Machine Learning or Deep Learning, Natural Language Processing, Website Development |
Given huge amounts of city-scale multimedia data, we aim to design a semi-automatic system to monitor and understand large-scale and dynamic events (or situations) going on in big cities. Our project involves a variety of active research areas, especially, computer vision and machine learning. More than 300,000 hours of video from more than a hundred street cameras in New York City, together with a large collection of tweets, are parts of the data we cope with. In addition to research, we will experience many technical issues such as big data management, data visualization and user interface design. The goal is not only to push boundaries of research, but also to create a decent software that works in real life scenarios. |
Susan McGregor, George King |
Students with programming (preferably Python, but Java and C languages are also acceptable), data analysis experience and/or experience with web APIs and scraping mechanisms are preferred. An interest in journalism, social media and/or algorithmic accountability is a plus. |
The Tow Center for Digital Journalism conducts a range of research projects in computational journalism and media analysis, and we are often looking for students with an interest in these topics to join our project teams. |
| John Kender |
Course or experience in computer vision is required. Experience in data analysis, or graphic user interfaces, or natural language processing is desirable. |
Video analysis. Project 1 is detecting and displaying cross-cultural differences in news videos (i.e., how are Chinese news videos different from American ones?). Project 2 is linking speaker gestures and intonations with communication effectiveness (i.e., what makes a speaker memorable?). |
| Junfeng Yang |
Computer Science Major |
Software Reliability |
| Ansaf Salleb-Aouissi |
Strong Machine Learning expertise. Please bring your resume. |
Machine Learning/AI project and applications |
| Smaranda Muresan |
NLP course (required); ML course (preferred); experience with NLP projects (preferred) |
Project in Natural Language Processing |
| Julia Hirschberg |
People should just bring their C.V. |
Deceptive Speech, Text-to-Speech, many more |