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PhD Graduate Program Guide

Doctoral Program

Degree Requirements

Publication Requirements

A PhD student is required to conduct research leading to the submission of distinct, quality publications to at least one premier journal and two premier conferences.

  • All papers must be related to the PhD dissertation work.
  • Copies of all papers and associated reviews are due when the dissertation is submitted to the committee.
  • Quality of submission will be established either by its acceptance for publication or, by the committee based on the paper's content and referee reviews/comments.

The dissertation defense report must be filed in the Graduate School no later than three weeks before the date the degree is to be conferred.

Time Limits

Please note that the graduate catalog states that all requirements for the doctoral degree must be completed within four years after passing the comprehensive examination. Time limits other than this as presented in the timeline are amendable by the Ph.D. committee under compelling circumstances, for example for students pursuing a part-time Ph.D. The total PhD program may not exceed 99 semester hours or seven years.

Change of Committee or Coursework

A student may change coursework, major professor, or Supervisory Committee members at any point, subject to the approval of the Graduate Studies Committee. If the student elects to change course work after the "Final Program of Work" report is filed, a "Change of Program Request" must be approved and filed. If a student changes major professor or Supervisory Committee members after the original research proposal has been submitted, a new research proposal will be required.

Research Areas

The Computer Science and Engineering Department currently supports Ph.D. studies in the following areas:

  1. Computer Architecture and Systems (Parallel processing, Fault tolerance, Distributed Operating Systems, and others).
  2. Database Systems (Logical and physical design, Distributed databases, Object-oriented databases and others).
  3. Intelligent Systems (Knowledge representation, Knowledge acquisition, Machine learning, Neural networks, Parallel AI and others).
  4. Networking, Telecommunications, and Mobile Computing.
  5. Software Engineering (Environments, Formal verification, Testing, and others)
  6. Multimedia Systems (Authoring, Compression, Collaboration and Communication)
  7. Theory and Algorithms
  8. Bioinformatics
  9. Information Security

General course work to support each of the above areas is available. Other areas are possible if the appropriate faculty is willing to support them. See the section on the faculty and their research.

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