Develop assessment infrastructure and assessments for MOOCs. Students who complete undergraduate research in the School of Computer Science do so as an independent study or as an honors undergraduate research thesis (which typically grows out of a prior independent study experience). ICSI is a leading independent, nonprofit center for research in computer science. Can we do a forensic analysis of well-known thefts of bitcoins to discover where the money went? Given a collection of small mobile robots, apply control policies learned in simulation to the real robots. Implementation and algorithm engineering for control, reinforcement learning and robotics, Implementation and algorithm engineering for time series prediction. How can we mitigate such biases? Fast communication mechanisms for heterogeneous clusters. The Allen School is committed to expanding our global leadership and impact in computer science and computer engineering research. Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior. How should we design protocols in these settings? Look on wase.princeton.edu to see if the professor has a calendar with any open slots available in a time frame soon enough to be of use to you; if so, sign up there. (Formal methods combined with natural language processing, learning). Any topic in theoretical computer science. Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 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. "Post-quantum cryptography" aims to develop new quantum-secure cryptosystems that provably remain secure even against quantum computers. Develop assessment infrastructure and assessments for MOOCs. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject. Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond. The Tor project (https://www.torproject.org/) is a potential application of interest. Mechanization of mathematics: Formalize a classic paper-based proof from some area of mathematics in an interactive proof assistant. Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory, applications of machine learning in healthcare and medicine. This course allows you to pursue topics of special interest beyond those of a regular course. Natural algorithms (flocking, swarming, social networks, etc). ckenny (@cs.princeton.edu), Brian Kernighan Implement and evaluate one or more gene expression analysis algorithm. Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science, Gamification of neuroscience (EyeWire  2.0), Semantic segmentation and object detection in brain images from microscopy, Computational analysis of brain structure and function, Neural network theories of brain function. Research Areas: Cryptography, Privacy, Quantum Information and Computation, Cyber physical systems for structural health monitoring, Developing virtual and augmented reality applications for documenting structures, Applying machine learning techniques to generate 3D models from 2D plans of buildings, Research Areas: Technology, society and public policy, Verifying complex software and hardware systems, Privacy technologies, anonymous communication. Developing new tools to improve government processes and offer policy alternatives. Invention and Innovation: Entrepreneurial Lessons for Computer, Building Secure Decentralized Applications Using the Blockchain, Computer Science Tools and Techniques for Digital Humanities, https://www.microsoft.com/en-us/research/project/textworld/, Princeton Neuroscience Institute - Room 153, Branko Glisic Room E330 - Engineering Quad. Without departmental approval, no more than one of these courses can be an Independent Study course. i. Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks. The browser you are using is not currently supported for the new www.fandm.edu. Pandemic Operations Information  -- read more >. By definition, an independent study is exactly that - a chance for a student to independently study problems or topics that are of interest. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning. energy and water use, transportation and storm water runoff, purchasing and waste, etc. For example, middleboxes like firewalls, NATs, intrusion detection systems, and load balancers, adaptive measurement of network traffic, networking in challenged environments (e.g., developing regions, emergency situations, etc.). Any interesting project in computer networking. What does the wealth distribution look like? Design an optimized algorithm for a specific combinatorial class. Develop a robust testing infrastructure using virtual machines, secure threads, and intelligent feedback to supplant the run-script system currently used. Other topics in computer architecture or mobile / IoT systems also possible. Prateek Mittal, Engineering Quadrangle, Room B236 Research areas: privacy, fairness in machine learning, cryptocurrencies & blockchains,. ii. Doctorate studies require independent work, which in… The research project must be approved by the chair of the Computer Science undergraduate program. COS Majors, Transfers out of COS. © 2021 The Trustees of Princeton University. Students undertake research under the supervision of a CIS faculty member. Design and implement a scalable distributed algorithm. Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. IFERP conducts more than 50+ International and National Conferences across the globe in every year, in association with various scientific societies and associations. Obfuscation has numerous direct uses, such as protecting intellectual property in software, and can also be used as a building block for surprisingly powerful cryptographic applications. Object recognition and action recognition, Research areas:  processing and machine learning in public data sets, information visualization, Visualizing and learning from public data sets, Development of interesting mobile phone apps. However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.) Research Areas: Formal methods, programming languages, functional programming. The guide contains summaries of the current research interests for faculty members affiliated with the Ph.D. in Computer Science program — … ), Conduct user study on the self-paced precepts of COS126 and find a way to better support the students, Refine the list of learning goals of COS126 and conduct a student intervention study using the list, Perform literature review on AI literacy and craft a relevant teaching material for undergraduate courses, Research areas: Natural Language Processing, Reinforcement Learning, Techniques for generating natural language. Thesis and Research Topics in Computer Science. Get Involved! Bounded Storage Model: Traditionally, the security of cryptosystems relies on the adversary being time-bounded. Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI. 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). Our goal is to enable K-12, college, undergrad, and graduates students who are blind to have full access to mathematics, engineering, and science. Prerequisite: completion of at least two sciences in different disciplines. Some of the most coveted Computer Science skills in the modern industry include coding, computation, data processing, network information security, web architecture, algorithm design, storage systems & management, and mobile development. Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. EECS 499, Directed Study, can … Any other interesting topic in computer architecture or compilers. Text (or data) clustering and processing; linguistic analysis (especially with French, German, Spanish, etc.). ), Quantitative approaches to theoretical linguistics questions. The projects provide students with the opportunity to engage with advanced problem solving and explore computing outside of the standard coursework. Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}. Game theory, network effects, and mechanism design. Students participating in Independent Science Research (ISR) should have a significant science background prior to entering the course. (Note: If you sign up with less than 24 hours notice, then the professor might not notice it in time to meet with you!). 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. Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. The goal is to be more efficient, to collect more data, and to better understand what makes a good course. Otherwise, send the professor e-mail. Research. biology, social science, etc. You may also want to examine the archival list of undergraduate thesis topics and advisors from prior years. It holds many secrets. Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area. Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. | This model can have numerous advantages over the traditional time-bounded model, such as very simple protocols and unconditional security proofs. jps (@cs.princeton.edu) | bwk (@cs.princeton.edu) Design a domain-specific programming language, or prototype a new feature for an existing language. A lot of these projects can include some Big Data component, and involve analyzing data and drawing some observations from it. Colleen Kenny Any other interesting project in computational molecular biology. Machine learning captures patterns from training data, and that includes societal prejudices such as racial and gender stereotypes. All the open access journals are publishing more than 1000+ articles per year. Some topics students have worked on in the past: Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools! Tools automating programming language interoperability - Java/C++, React Native/Java, etc. Help Future Computer Science Students Learn Computer Science! Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things, Distributed hardware testing infrastructure, Low-power wireless network protocol implementation, Research Areas: Computer Science Education, Learning Sciences. iii. Statistical models for specific questions: Causal inference and instrumental variable analysis, Model checking with posterior predictive checks, Inference of undirected network from observational and time-series data, Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology. How can we make formal proofs more accessible? Analysis and prediction of biological networks. Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning. Research Interests - Networking and telecom; learning, perception, and intelligence, artificial and otherwise; human-computer interaction; as well as the general topic of R&D innovation methodologies. Here are some example projects: Design/improve an OMR (Optical Mark Recognition) project that is currently being deployed for the computer assisted grading of exams. You may take CPSC 599 Independent Graduate Research to fulfill part of your electives. Enterprise and data-center networking solutions built on Software Defined Networking (SDN). ISR is an elective Dual Enrollment course intended for Juniors and Seniors who are interested in continuing their study through an independent project in science, engineering, mathematics or computer science. This course can be used to fulfill the capstone requirement. Students interested in these options must initiate an idea for a project. Analyze large quantities of secondary data collected (for example, do students that do the programming assignments in pairs do better in the course or not? Sharad Malik, Engineering Quad, Room B224 Independent study courses also might be right for you if you need to take a semester off from your regular college schedule but would still like to earn a few credits. Computer science is science that changes, perhaps, the faster of all. Doing an honors thesis gives one the opportunity to get the “feel” of doing research, and provides important experience for graduate school or future employment. Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms. Program Obfuscation: Program obfuscation scrambles a program to hide all implementation details, while simulateneously allowing the program to still be run on inputs of the the user's choice. Research Areas: Computer Vision, Machine Learning. The is is a joint laboratory with the Department of Computer Science and the Lewis-Sigler Institute for … Overview. Ken Norman, PNI 137 Neuroscience Institute Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks. In this context, the student works one-on-one with the professor or with the professor's research group on some problem of mutual interest. Privacy Policy And, if you don’t already have a research project in mind, reach out to a professor whose area of research appeals to you. Research projects: Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science. Send mail or stop by to discuss possible topics if you are interested. Independent Graduate Research. It is a multidisciplinary project with researchers and practitioners from UW's Department of Computer Science and Engineering, Access Technology Lab, and DO-IT. Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications. General. Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics. Let's explore ways to use containment to solve real problems. An example from Computer Science could include using TigerEnergy, a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Independent Research Topics (from AY 2017-2018): Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training), Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes, Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. Learn more about funded undergraduate research opportunities in the Computer Science Undergraduate Research Program (CSURP).. Undergraduate research often takes place under the auspices of course CS 4999 (Independent Study). Caroline Savage, Office of Sustainability, Phone: (609) 258-7513, Engineering Tours for Prospective Undergraduates. Game theory applied to problems in healthcare. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria. Implementation and application of algorithms to infer evolutionary processes in cancer, Identifying correlations between combinations of genomic mutations in human and cancer genomes, Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies, Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory. These projects focus on automation, using various techniques - such as OCR or OMR -, smart heuristics, and creative UI design, to streamline most tasks associated with a university. David Wentzlaff, Engineering Quadrangle, Room 228. Integrate handwritten character recognition to the OMR component. Theoretical machine learning, deep learning and its analysis, natural language processing. Research Areas: computer graphics, audio. (609) 258-1746 COS Pre-majors, COS Non-majors, Transfers in to COS, Study Abroad, Jaswinder Singh Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms. Topics computer science students have pursued in the last several years include: Software verification (for which taking COS 326 / COS 510 is helpful preparation), Game theory of poker or other games (for which COS 217 / 226 are helpful), Computer game-playing programs (for which COS 217 / 226), Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful). The Campus as Lab program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The role of the advisor changes from independent study to independent study, but in general, it is to help students when they run into difficulty and to direct the studies of the students in "promising" directions. Integrate hardware solutions (cardswipe, barcode scanning, etc.) Design and implement computer visualizations of algorithms or data structures. My research group has built a research tool called, Research areas: programming languages, program analysis, program verification, automated reasoning, Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to. Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices. Projects could combine computer networking with other areas like programming languages, network optimization, algorithms, and distributed systems. Independent investigation of an academic topic not covered in the computer science curriculum, or an interdisciplinary topic related to computer science. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. Please consider upgrading your browser or switching to Google Chrome. Approximate nearest-neighbor search for high dimensional data. My favorite projects to advise are those that examine misconceptions learners have with highly technical material, but I'm open to working with you on any project that treats people as individuals and aims to understand more about their frame of reference or way of thinking. Research on better programming abstractions for SDN. Students are strongly urged to take an independent study with their research professor prior to enrolling in this course. Site Map, Generative models for structured discrete objects, Approximate inference in probabilistic models, Accelerating solutions to partial differential equations, Innovative uses of automatic differentiation, Modeling and optimizing 3d printing and CNC machining, Research areas: Natural Language Processing, Deep Learning. to many of these tools to make them even more frictionless. Links to many research areas in the department may be found at http://www.cs.princeton.edu/research/areas/ while links to projects may be found at http://www.cs.princeton.edu/research/projects/. Students will participate in the process leading to possible selection for participation in the Loudoun County Regional Science … Strictly prohibited are independent study as a substitute for a regular course offering. Prerequisites: Reasonable mathematical maturity. Applications of information theory in complexity theory. How can we leverage social connections between users to design the next generation of communication systems? Dismantle and document all of the components in modern electronics. Some topics and questions I'm interested in: Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets. Research Areas: Formal methods, programming languages, compilers, computer security. How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy? Potential Topics for Independent Research include: Computational Optics for Domain-specific Cameras, 3D Scene Representations for View Generation and Inverse Problems, Hardware-in-the-loop Illumination and Sensor Optimization, Proximal Algorithms for Learning and Inference, Domain-Specific Language for Optics Design, Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things. Once the "traitor" is identified, remedial action can be taken, such as revoking the traitor’s credentials. Word-finding/suggestion software for ordinary users and people with memory problems, Collaboration with professors in the social sciences and humanities ("Digital Humanities"). Traitor Tracing: Traitor-tracing systems enable content distributors identify the origin of pirate decryption boxes — such as pirate cable-TV set-top decoders — or pirate decryption software posted on the Internet. Undergraduate independent research in Computer Science is done as an Independent Study or as a Senior Thesis (which typically grows out of a prior Independent Study experience). Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior. While the experience of doing independent research in computer science would be valuable to all majors, it is especially important to those planning to pursue graduate school in computer science or seeking employment in the computing field. Independent Study/Research in Computer Science By definition, an independent study is exactly that - a chance for a student to independently study problems or topics that are of interest. Copy protection and peer to peer technologies. Then (at the appointed time) contact them on princeton.zoom.us. Students must apply by 11/15 for Spring and 4/15 for Fall; minimum requirements include a 3.0 GPA overall and a 3.3 GPA in the major as well as readiness for CIS 4398. It cannot cover the same topic as your project or thesis. Computer Science majors are required to take three additional 1-unit CMSC electives at the 300 level. Develop a tool to help visualize interactions between complex campus systems, e.g. Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures. Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. How can we protect the privacy of our online communications? The research focus of the Laboratory of Bioinformatics and Functional Genomics is the development of integrated computational and experimental technologies for the study of gene function and regulation in biological systems through analysis, modeling, and visualization of heterogeneous biological data. Summer research awards through NSERC and UTEA The Natural Sciences and Engineering Research Council of Canada (NSERC) sponsors Undergraduate Summer Research Awards (USRAs), which provide the opportunity to do paid research with a professor. Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security. ii. Mihir Kshirsagar, Center for Information Technology Policy, 315 Sherrerd Hall Implemented a Chrome extension in Java Script (jQuery), CSS, and HTML that extracts a textbook ISBN from an Amazon webpage and searches it on the Virginia Tech Library database This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model, Research Areas: Scientific analysis of algorithms, Analytic combinatorics. Optimized implementation of classification algorithms on manycore processors. Research Areas:  Software engineering; software engineering education. Unsurprisingly, machine learning methods used for automated screening of resumes or automated risk scoring of criminal defendants turn out to be biased against some groups. Computation involving dynamical systems, fractals, and cellular automata. Expect to work with corporate security and technology decision-makers. Computer Science Project Ideas. When they are, they are listed here. A wide range of research projects guided by Duke's world-class faculty engage undergraduates, who often become co-authors on papers in major academic conferences. Finally, I am always up for any ambitious coding project, or survey project in preparation (or not) to an undergrad thesis. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208). Terms of Use Such a project might use course materials from a class taught elsewhere or readings chosen by the student or … Develop, implement, and evaluate visualization tools for heterogeneous biological data. Janet Vertesi, Sociology Dept, Wallace Hall 122  Using Computer Science as a Lens for Better Understanding, Phyo Thuta Aung Safeguards Phone Security, Non-discrimination, equal employment, and accessibility notices. What other sensitive information can be inferred based on publicly available data using clever algorithms? How can we automate parts of proofs? Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation. This can be accomplished by having a second co-adviser 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. How should we reason about user behavior in these protocols? Note: No individual single-term advising is available outside of the seminar for Spring 2020. Design or simulation quantum circuits implementing quantum algorithms. Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects. Computer Science majors have the opportunity to engage in independent coursework by completing an undergraduate research project or independent study project mentored by a CSC faculty member. To do a project with an adviser outside of computer science you must have permission of the department. Every month something happens – the machines become more powerful, the new languages of programming are invented and the new possibilities are opened before computer … This might be particularly beneficial if you're experiencing a medical problem, working full-time, caring for a child, serving in the military or experiencing financial hardship. Necessary and sufficient conditions for tractability of Weighted problems. Develop algorithms for assessment of performance of genomic analysis methods. I am also coordinating the development of new grading and assessment infrastructure at Princeton, that will eventually be open-source and deployed at other universities. Considering the nature of the material, it's no surprise computer science courses were among the first offered in an online format from prestigious institutions such as MIT and Stanford. Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system. Computing, Operating Systems, Sustainable Computing. Possible areas include graphics, compression, biology, among many others. Quantum and Post-quantum Cryptography: Quantum computers can break much of the cryptography used today. Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing. 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