UgradResearchTopics

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Suggested Undergraduate Research Topics

Links to many research areas in the department may be found here while links to projects may be found here.

Prof. Andrew Appel, Room 219

  • Research Areas: Formal methods, programming languages, compilers, computer security.
  • Independent Research Topics:
    1. Automated theorem proving (suggestion: take COS 441 first).
    2. Trustworthiness of voting machines and/or internet voting.
    3. Computer game-playing programs.

Prof. Sanjeev Arora, Room 307

  • Research Areas: Uses of randomness in complexity theory and algorithms; Efficient algorithms for finding approximate solutions to NP-hard problems (or proving that they don't exist); Cryptography.
  • Independent Research Topics:
    1. Implement one of recently discovered algorithms for "recycling" random bits, and study how well it does in practice.
    2. Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487).
    3. Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages.
    4. Design and implementation of graph partitioning algorithms (possibly leading to a publication).
    5. Modeling the human brain using random graphs.

Prof. David August, Room 209

  • Research Areas: Computer Architecture and Compilers, and Green Energy.
  • Independent Research Topics:
    1. Programming models for multicore.
    2. Architectural techniques enabled by compiler support (run-time optimization, reconfigurable computing, etc.).
    3. Automatic program data-structure and algorithm optimization or replacement.
    4. Any interesting topic in computer architecture or compilers.
    5. Any interesting topic relating computer science to green energy.

Prof. Boaz Barak, Room 405, ON LEAVE 2010-11

  • Research Areas: Cryptography, Complexity Theory, Randomness and Computation.
  • Independent Research Topics:
    1. Explore Gentry's new homomorphic encryption scheme: implementation, possible simplifications
    2. Use computer assisted search to help refute/prove open questions in combinatorics.
    3. Any other interesting project, especially one involving cryptography or theory.

Prof. David Blei, Room 419

  • Research Areas: machine learning, graphical models, computational statistics, information retrieval, natural language processing.
  • Prof. Blei advises interesting machine learning or computational statistics projects. Example research areas are spectral clustering, approximate posterior inference, social network analysis, or time series analysis.

Prof. Moses Charikar, Room 305

  • Research Areas: Design and analysis of algorithms, particularly approximation algorithms, on-line algorithms and efficient algorithms for dealing with large volumes of data.
  • Independent Research Topics:
    1. Reconstructing evolutionary trees from biological data.
    2. Algorithms for clustering data - theory as well as impementation.
    3. Investigating the gap of mathematical programming relaxations for optimization problems. (This requires a strong math background).
    4. Any other topic in advanced algorithms or discrete mathematics.

Prof. Bernard Chazelle, Room 404

  • Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms.
  • Independent Research Topics
    1. Natural algorithms (flocking, swarming, social networks, etc).
    2. Sublinear algorithms
    3. Self-improving algorithms
    4. Markov data structures


Prof. Christopher Clark, Room 410

  • Research Areas:

Multi-Robot Systems, underwater robotics, robot mapping and localization, motion planning, Autonomous Underwater Vehicles (AUVs). See lab web site: [1]


  • Independent Research Topics:

1. Multi-AUV Shark Tracking. Students will aid in the development of an AUV system that uses acoustic receivers to track and follow tagged sharks. Tasks include system integration as well as programming state estimators, motion planners, and control strategies. Travel to California during Summer break may be required (fully funded).

2. Underwater Robot Tunnel Mapping. Students will aid in the development of software for an underwater robotic system deployed in ancient water tunnels below fortresses in Spain or Malta. Tasks include sensor integration, and programming localization, mapping, and/or control algorithms. Travel to Spain/Malta during Spring breakmay be required (fully funded). See the blog from last year's trip. See the blog from last year's trip: [2]

Prof. Douglas Clark, Room 309

  • Research Areas: Computer architecture and organization; architecturally-focused performance analysis.
  • Independent Research Topics:
    1. Diagnose, repair, and possibly redesign the user interface of my father's 30-year-old Turing Machine. Requires digital logic design skills, plus some mechanical engineering, or perhaps a partner.
    2. Cycles Per Instruction (CPI) is a great performance measure but is hard to estimate without a highly detailed simulation of the hardware. Simple analytic models of CPI can be very wrong for certain programs and certain processors. Using good simulators and/or a real machine, show how bad such models can be.
    3. Other topics, depending on student interest.

Prof. David Dobkin,

  • Research Areas: Visualization, pervasive computing, software engineering.
  • Independent Research Topics:
    1. Building applications using Wireless and Handheld devices.
    2. Building tools for managing online photo albums.
    3. Face recognition.
    4. Other Interesting topics.

Dr. Robert Dondero, Room 206

  • Research Areas: Software engineering; software engineering education.
  • Independent Research Topics:
    1. Develop or evaluate tools that predict software bugs. Can mining of source code databases predict bugs?
    2. Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond. Can code critiquing tools help students learn about software quality?
    3. Develop software related to analyses of the game of baseball. What was the best team of all time? What was the best team of all time relative to its peers? Who was the best player of all time? Who was the best player of all time at a particular position? Etc.

Dr. Christiane Fellbaum, Room 412

  • Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
  • Independent Research Topics:
    1. Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests.
    2. In the past, students have worked on extensions and interfaces for WordNet (English and WN in other languages),
    3. applications of WordNet(s), including:
      1. Foreign language tutoring systems,
      2. Spelling correction software,
      3. Word-finding/suggestion software for ordinary users and people with memory problems,
    4. Machine Translation (on the word level)
    5. Sentiment and Opinion detection

Prof. Edward Felten, 302 Sherrerd Hall

  • Research Areas: Computer security and privacy; Internet software; technology law and policy.
  • Independent Research Topics:
    1. Technology for open government.
    2. Computer security and privacy.
    3. Digital media distribution.
    4. Copy protection and peer to peer technologies.
    5. Electronic voting.
    6. Technology, society and public policy.
    7. Any other interesting or offbeat topic.

Prof. Adam Finkelstein, Room 424

  • Research Areas: computer graphics, animation.
  • Ideas for independent Research Topics:
    1. Computer-generated drawings from 3D models.
    2. Tools for making visual art using computer graphics.
    3. New methods for computer animation.
    4. Techniques for medical visualization.
    5. Experiments where the data is collected via the internet.
    6. Any interesting project in computer graphics.

Prof. Michael Freedman, Room 308

  • Research Areas: Distributed systems, security, networking
  • Independent Research Topics:

Projects related to virtual worlds, datacenter systems and networks, new Internet architectures, untrusted cloud storage and applications, and peer-to-peer systems. Please see our group website at http://sns.cs.princeton.edu/ for an example of research areas.

Prof. Thomas Funkhouser, Room 422

  • Research Areas: Computer graphics.
  • Independent Research Topics:
    1. Investigate methods for recognizing objects in 3D scans.
    2. Develop algorithms for aligning and matching 3D shapes.
    3. Build components of a shape-based search engine for 3D models.
    4. Any other projects related to computer graphics or shape analysis.

Prof. Brian Kernighan, Room 311

  • Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
  • Independent Research Topics:
    1. Application-oriented languages, scripting languages.
    2. Tools; user interfaces; web services.
    3. AMPL and optimization.
    4. Joint work with other departments.
    5. For a list of less than half-baked ideas Look Here

Prof. Andrea LaPaugh, Room 304

  • Research Areas: Search and retrieval of information; data mining, particularly clustering; combinatorial algorithms
  • Independent Research Topics:
    1. Develop visualization tools for social network algorithms such as PageRank.
    2. Study the current use of graph structure in the exploration of the Web or other social networks, and investigate the potential for new techniques.
    3. Experimentally evaluate the use of preprocessing with spectral clustering algorithms.
    4. Experimentally evaluate how well metrics used to compare two clusterings of a data set actually capture intuitive notions of similarity between clusterings.
    5. Other topics with an information discovery or management aspect, including novel applications using databases or information retrieval.

Prof. Kai Li, Room 321 - ON LEAVE 2010-11

  • Research Areas: Parallel architectures and systems; distributed systems; operating systems.
  • Independent Research Topics:
    1. Design, implement and evaluate practical methods for image and audio similarity searches.
    2. Seamless shared visualization on large-scale displays.
    3. Simulation studies of asymmetric heterogeneous chip multiprocessor architecture.



Prof. Margaret Martonosi, Room 204

  • Research Areas: Computer architectures and the hardware/software interface, particularly power-efficient systems, hardware-software interface issues, and most recently, power-efficient wireless networks.

Possible research topics include:

  • Green Data Centers
  • Mobile Computing
  • Cell phone applications and programming models
  • Energy-efficient computer architecture

Or email (mrm@princeton.edu) and pitch an idea roughly in this space!

Prof. Vivek Pai, Room 322

  • Research Areas: Network/Web servers, operating systems, high-performance applications.
  • Independent Research Topics:
    1. Use data from CoMon to analyze workload behavior on PlanetLab. For example, can you automatically detect things about people's programs, can you cluster usage patterns, etc., etc.
    2. Content Distribution Networks (CDNs) are commonly used to deliver Web content, but no standard monitoring system exists to easily gauge their relative performance. Can you build one that reasonably compares different CDNs?
    3. Tools like CoVisualize are useful for periodically-updating data. Can you take this concept and apply it to data that changes much more rapidly, such as every second

Prof. Larry Peterson, Room 208 - ON LEAVE 2010-11

  • Research Areas: Networked systems, communication protocols, operating systems.
  • Independent Research Topics:
    1. Topics related to planetary-scale network services, overlay networks, and the system infrastucture needed to support them.

Prof. Jennifer Rexford, Room 306

  • Research areas: networking, network virtualization, Internet measurement, network management, network troubleshooting
  • Independent Research Topics:
    1. Design, prototyping, and evaluation of new routing protocols on VINI (www.vini-veritas.net)
    2. Design, prototyping, and evaluation of new packet-handling logic in Click (http://www.read.cs.ucla.edu/click/) or NetFPGA http://netfpga.org/)
    3. Enterprise and data-center networking solutions, possibly built on top of OpenFlow (http://www.openflowswitch.org/)and NOX http://noxrepo.org/)
    4. Design, analysis, and simulation of traffic-management protocols and network virtualization techniques based on optimization theory or game theory
    5. Any interesting project in data networking

Prof. Szymon Rusinkiewicz, Room 406

  • Research Areas: computer graphics; acquisition of 3D shape, reflectance, and appearance of real-world objects; novel devices and methods for physical output of objects with particular shape/appearance.
  • Independent Research Topics:
    1. Build a system for background-oriented Schlieren: imaging of gases based on the tiny perturbations produced by refraction. Use this to visualize things like the airflow above a candle, or human breath.
    2. Scratch holography using computer-controlled milling machines.
    3. Computer-generated bas-relief using substrates of heterogeneous materials.
    4. Implement a system for generating high-quality panoramic images from low-resolution, low-quality sources (e.g., cell-phone cameras).
    5. Develop enhanced visualization techniques for collections of images of an object or scene taken under varying lighting.
    6. Implement an efficient ray tracer for huge meshes (hundreds of millions to billions of polygons) based on a compressed hierarchical data structure. Then make it run at interactive rates.
    7. Implement (and perform the appropriate theoretical sampling/aliasing analysis for) a rendering system that explicitly accounts for the red/green/blue sub-pixels of LCD displays.
    8. Other projects in computer graphics and vision.

Prof. Robert Schapire, Room 407

  • Research Areas: Machine learning
  • Independent Research Topics:
    1. Implement and run experiments on assorted machine learning algorithms.
    2. Apply machine learning algorithms to specific tasks.
    3. Any other interesting project related to machine learning.

Prof. Robert Sedgewick, Room 319

  • Research Areas: Scientific analysis of algorithms, Analytic combinatorics
  • Independent Research Topics:

Professor Sedgewick is willing to advise any student who comes up with an idea for independent work from his books, papers, courses, or in his current areas of active research. Send mail or stop by to discuss possible topics if you are interested.

Prof. Jaswinder Pal Singh, Room 423

  • Research Areas: Parallel computing systems and applications: parallel applications and their implications for software and architectural design; system software and programming environments for multiprocessors. Special interest in applications of computing in computational biology, especially protein structure determination and simulating the immune system.
  • Independent Research Topics:
    1. Work with a team to build new types of "persistent search" or alerting/notifcation services that can be exposed to and used by real users. Could involve indexing and matching methods, end-user interfaces, data sourcing and interpretation, or building new information services.
    2. Implement and study novel methods for topic-specific or vertical information discovery and search, as well as for high-quality persistent search.
    3. Study and develop methods to infer insights from data in different application areas.
    4. Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
    5. Develop and implement algorithms for selected problems in computational biology, especially simulating the immune system or analyzing immunological data.

Prof. Mona Singh, Room 420

  • Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
  • Independent Research Topics:
    1. Whole and cross-genome methods for predicting protein function and protein-protein interactions.
    2. Analysis and prediction of biological networks.
    3. Computational methods for inferring specific aspects of protein structure from protein sequence data.
    4. Any other interesting project in computational molecular biology.

Prof. Kenneth Steiglitz, Room 421

  • Research Areas: Computational economics, soliton-guided quantum computation, auctions
  • EOS: Economics via Object-oriented Simulation

This is an ongoing project devoted to the development of open-source software for the highly structured simulation of complete economies, making strong use of inheritance, and a very few high-level primitives. Projects include design of a banking system, options, and distributed implementations. For details, see http://eos.cs.princeton.edu/.

  • Computing with Solitons:

Solitons are remarkably robust nonlinear waves. They can travel through optical fibers over distances on the order of the earth's circumference. Their ability to process information has preoccupied me for more than ten years, and I'm working on several ways in which they might be used for computation of a more or less general nature, classical or quantum. This sort of work uses both computer science and physics, and it helps a lot if you're familiar with things like wave equations as well as Turing machines. It can involve either theory or applied computation. Some of the work sprouted from solitons in cellular automata, so there may also be projects interesting to fans of what physicists sometimes call "ultra-discrete" systems (binary cellular automata).

  • Auctions:

There are a number of questions about auctions that intrigue me. For example, there are many examples of auctions that do not have Nash equilibria. Are there any such auctions that might be useful in practice, and how should we expect agents to behave in such auctions? I'm also interested in practical numerical algorithms for finding equilibria in auctions. Beyond this there are always behavioral questions that might be studied with field experiments in eBay (these are also typical term paper projects in COS 444).

  • Barter mechanisms:

I'm interested in mechanisms that involve the exchange of goods without the use of money; in other words: barter. What kinds of barter sites are out there? How do they work? Is there an appropriate economic theory? How can barter among more than two traders be arranged? Can an effective site be put up that mediates barter as a third party?

  • Compile a university event calendar:

Right now there is no university-wide calendar of events. It would be useful to write a web-crawling program that explored certain university pages (the department pages in particular) and assembled a daily, hour-by-hour calendar of events. In the best of worlds this would run automatically and the results posted by the university communications office.


________________________

For papers relevant to some of the topics mentioned, see my research page. If you're interested in discussing any of these ideas, or have some of your own, please send email. --Ken Wed Aug 26 03:04:46 EDT 2009

Prof. Robert Tarjan, Room 324

  • Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
  • Independent Research Topics:
    1. Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
    2. Design and/or analyze various data structures and combinatorial algorithms.

Prof. Olga Troyanskaya, Room 320

  • Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
  • Independent Research Topics:
    1. Implement and evaluate one or more gene expression analysis algorithm.
    2. Develop algorithms for assessment of performance of genomic analysis methods.
    3. Develop, implement, and evaluate visualization tools for heterogeneous biological data.



Dr. Keith Vertanen, Room 312

  • Research Areas: Speech Recognition, Language Modeling, Human Computer Interaction
  • Independent Research Topics:
    1. Design, develop and evaluate an interesting speech interface. Come talk to me, I have lots of infrastructure to get you started.
    2. User evaluation of speech and/or touch interfaces using crowdsourcing (Amazon Mechanical Turk, etc).
    3. Improving language modeling for training data poor domains (such as for augmentative and alternative communication).
    4. Develop a fast, memory efficient and scalable language model for use in the Dasher project (http://www.inference.phy.cam.ac.uk/dasher/).

Prof. David Walker, Room 211

  • Research Areas: Programming languages, type systems, compilers, data processing and security.
  • Independent Research Topics:
    1. PADS: a domain-specific research language for specifying data formats and automatically generating tools that and do cool things with the specified format (See here for more info):
      1. How can we improve the PADS toolkit?
      2. Can we automatically generate specialized compression, obfuscation, or encryption tools?
      3. Can we generate tools specialized for particular domains such as computational biologiy? Financial analysis? Physicis? Computer networking?
      4. PADS is currently implemented on top of C and O'Caml. Can we provide PADS for other languages such as Python or Haskell?
      5. Given example data (like the output of "ls -l"), can we automatically learn the format of the data using clever algorithms or machine learning?
      6. Can we design hardware and/or software mechanisms that will tolerate bit flips and other faults caused by cosmic rays?
      7. Can we develop a type system or other software analysis that can determine whether software is fault tolerant?
    2. Any other interesting project that involves type systems, compilers, data processing, fault tolerance, language-based security, aspect-oriented programming, theorem proving, logic or logical frameworks.

Dr. Kevin Wayne, Room 207

  • Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
  • Independent Research Topics:
    1. Design and implement computer visualizations of algorithms or data structures.
    2. Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.

Opportunities outside the department

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science. However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.) To do a project with an advisor outside of computer science you must have permission of the department. This can be accomplished by having a second co-advisor within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Prof. Hillary Coller, Room 140 Lewis Thomas Lab

  • Research Areas: computational approaches to analysis of large-scale genomics data sets
  • Independent Research Topics:
    1. Data integration projects with large scale data sets: gene expression and microRNA expression.
    2. Clustering algorithms and data visualization algorithms to represent patterns of genetic change.
    3. Pattern matching algorithms to define genetic regions that are overrepresented compared with chance.
    4. Pattern matching and data integration algorithms to integrate data generated by the laboratory with publicly available data sets from tumors or microbial species.
    5. Other topics of mutual interest.

Prof. Sharad Malik, Engineering Quad, Room B224

  • Research Areas:
    1. Design of reliable hardware systems
    2. Verifying complex software and hardware systems


Prof. Ken Norman, Room 3-N-18 Green Hall

Potential research topics

  • Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG)
  • Neural network simulations of learning and memory

Prof. Matthew Salganik, Room 145 Wallace Hall

  • Research areas: Internet-based social research, social networks, quantitative methods
  • Independent Research Topics:
    1. Website to allow groups/organizations/governments to collect and prioritize ideas in a democratic, transparent, and bottom-up way (http://www.allourideas.org).
    2. Social network sampling methods for hidden populations such as injection drug users and sex workers.
    3. Any interesting way to use new technology to better study human behavior.

Dr. Janet Vertesi, Society of Fellows and Sociology Dept, Room 104A, Scheide Caldwell House

  • Research areas: Human-Computer Interaction (qualitative); Informatics and Information Science; Socio-Computational Systems; Sociology of Technology; Virtual Organizations as Sociotechnical Systems; Computer-Supported Cooperative Work; Ubiquitous Computing; User-Centered Computing; Technology and Transnationalism (including ICT4D); New media art and critical technical practice; Sustainable design.
  • About this research: Have you ever stopped to think what will happen to your new chip, software, or iPhone app once it encounters the Real World? Human-Computer Interaction is an exciting and expanding community of computer scientists, anthropologists, sociologists, and critical theorists who examine computing "in the wild" and are dramatically changing our sense of the possibilities of human technological experience. My research takes place at the intersection of these dynamic disciplines and uses qualitative methods to build new software and hardware tools that support a wider range of technological experiences. To learn more, visit my website: http://janet.vertesi.com
  • Independent Research topics:
  • 1. NASA's Cassini Mission to Saturn is a large-scale, international, planetary exploration venture that involves hundreds of scientists and engineers across NASA and ESA. How do members of the Cassini team work together to conduct science with a robot in orbit around another planet? How do they use technologies to do their work at a distance from each other and from their spacecraft? Based on these understandings, how can we better design software environments and tools to support their work, and the work of other distributed teams? This project is based on an NSF Computer Science grant and there are lots of opportunities to get involved with a NASA mission, looking at one piece of the puzzle.
  • 2. Culturally Embedded Computing. No one ever uses technologies in a vacuum. Whether playing World of Warcraft or making a call on your iPhone, software and technological practices are embedded in cultural systems, appropriated differently in new cultural contexts, and suffused with local values. Through qualitative user studies of these different cultural contexts, can we use our understanding of these varied settings to better design technologies that "fit"?
  • 3. Critical Technical Practice. From "Moore's Law" to "friending" on Facebook, certain cultural assumptions and values are built into our computational systems that we take for granted. If we invert, challenge or change those assumptions, what new systems and possible ways of interacting might result?
  • 4. Any interesting way to use qualitative research methods to better understand how users "in the wild" appropriate technologies into their daily lives, to inform the design of new technological systems and possibilities.