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PhD Programs

The Computer Science Department offers a PhD program as well as an Interdisciplinary PhD program. Below are outlines of the program requirements, the areas of faculty expertise, as well as instructions on how to apply. Interested students also can direct inquiries to the graduate coordinator, Professor Carola Wenk, at cwenk@tulane.edu.

PhD Program in Computer Science

The PhD Program in Computer Science guides students from beginning graduate study in Computer Science all the way through to completion of their dissertation research.

The objective of the program is to ensure students obtain a solid foundation by requiring them to take graduate courses in a number of core areas of computer science. A depth requirement involving the attendance of a sequence of courses from one or more areas will enable the student to acquire world-class expertise on a research area of concentration. Students also will be expected to engage in research as early as their incoming semester. This will be accomplished by the research courses and research seminars that will prepare students by engaging them in research from the start.

The program requires 48 credit hours of graduate course work, including core computer science courses, research courses starting in the first year, as well as an interdisciplinary research project. After an oral qualifying examination at the end of the fifth semester, the prospectus presentation is scheduled at the beginning of the seventh semester, and the final milestone is to complete and defend a dissertation.

Interdisciplinary PhD Program

The Tulane Computer Science Department offers an Interdisciplinary PhD degree that focuses on the application of computer science and its principles to related areas. The program includes graduate coursework and research in Computer Science and in the related discipline (e.g. biology, biochemistry, chemistry, economics, linguistics, mathematics, physics, and psychology). Details about interdisciplinary activities of the Computer Science graduate faculty are given below. The exact curricular requirements vary according to the interdisciplinary area and the interests of the student.

Transfer Credit

Up to 24 credit hours of graduate work at Tulane or another university may be transferable for credit, if the work is in Computer Science or in the related area. In particular, students who have completed a Master's degree may be able to have some of their Master's coursework count for the PhD degree. The suitability of a course transfer is approved on a course-by-course basis and is not automatically guaranteed.

Financial Support

PhD students receive full financial support in the form of teaching and research assistantships with a generous stipend, including paid tuition. The Computer Science Department has Teaching Assistantships available and some faculty also have Research Assistant positions available for students interested in working on their research program. Interested students should contact any of our graduate faculty about the possibilities or they should contact the graduate coordinator, Carola Wenk at cwenk@tulane.edu. Please see cs.tulane.edu for more information about the department.

Areas of Faculty Expertise

The research areas of the Computer Science faculty are described in short videos at http://tulane.edu/sse/cs/research/.

Artificial Intelligence

Students interested in artificial intelligence, and, in particular, in preferences, temporal reasoning, and computational social choice are invited to contact Professor K. Brent Venable (kbvenabl@tulane.edu). Possible areas for interdisciplinary collaboration are economics, psychology (in particular neuroscience), environmental sciences, and linguistics.

Computational Biology and Bioinformatics

Students interested in research in computational biology and bioinformatics are invited to contact Professor Ramgopal Mettu (rmettu@tulane.edu). Professor Mettu currently conducts research in protein structure prediction, protein-protein interactions, compound screening, computational immunology, and in the application of computational methods to model vector-borne infectious disease. His research is performed in collaboration with faculty from the Tulane Medical School.

Computational Geometry, Shape Matching, or Trajectory Analysis

Students with interest in computational geometry, shape matching, or trajectory analysis, possibly in combination with topology or statistics or with biomedical image analysis, are invited to contact Professor Carola Wenk (cwenk@tulane.edu). Possible areas for an interdisciplinary collaboration include mathematics, biomedical engineering, and biology.

Machine Learning

Students interested in machine learning and natural language processing related to the areas of information extraction, extraction of semantics from text, combining language and vision, structured output prediction models, probabilistic models, and declarative learning based programming are invited to contact Professor Parisa Kordjamshidi (pkordjam@tulane.edu). Possible areas for interdisciplinary collaboration are linguistics and biology. However, other application domains of machine learning can be discussed.

Mathematical and Logical Foundations

Students interested in working in the mathematical and logical foundations of computer science, or in quantum information and quantum computation, are invited to contact Professor Michael Mislove (mislove@tulane.edu). Professor Mislove conducts research on computational models, which are mathematical and logical systems used to analyze computational processes. His recent work has focused on probabilistic models, and includes exploring the development of computational approaches to probability, and to quantum information and computation.

Networking, Cloud Computing, and Cybersecurity

Students with interest in networking, cloud computing, and/or cybersecurity are invited to contact Professor Zizhan Zheng (zzheng3@tulane.edu). Professor Zheng currently conducts research in optimization and mechanism design for networked systems, and in active/cognitive defense against advanced cyber threats using game theory and reinforcement learning. Possible areas for an interdisciplinary collaboration include economics, psychology, and environmental sciences.

Scientific Visualization and Computer Graphics

Students with interest in data visualization, computer graphics, and/or image processing are invited to contact Professor Brian Summa (bsumma@tulane.edu). Possible areas for interdisciplinary collaboration include mathematics, biology, neuroscience, physics, earth and environmental sciences, and chemical and biochemical engineering.

Application Procedure

Students interested in applying should use the School of Science and Engineering Graduate Online Application Forms. When completing the "Application Information" section of the application forms, candidates should select the following options (in bold below) in the "Department/Program & Area of Specialization" subsection:


Department/Program: Computer Science
Area of Specialization: N/A

The results of the GRE test are required for a complete application, as is the TOEFL examination in the case of non-US citizens who are not native English speakers. GRE score reports and TOEFL score reports (when applicable) should be directed to Institutional Code 6173 when requested from the testing agency.

The application deadline to begin the program in the fall is February 1. For full consideration, applications should be submitted by this date, but applications will be accepted afterwards as well. Once admitted, the Office of International Students and Scholars provides visa information, housing information, cross-cultural programs, and advising for international students.

Interested students also are encouraged to contact the graduate faculty member whose research interests most closely resemble their own. Please see cs.tulane.edu for more information about the department faculty. For general questions about the Interdisciplinary PhD program, please contact the graduate coordinator, Carola Wenk, at cwenk@tulane.edu.


Resources


303 Stanley Thomas Hall, New Orleans, LA 70118 504-865-5785 compsci@tulane.edu