Research Overview

In broad terms, the major areas of faculty research are Distributed and Parallel Processing, Networking and Net-Centric Systems, and Computational Science and Visualization. Other active research areas include bioinformatics, database and data mining, geometric and graph algorithms, image processing, software engineering and security & privacy.

Distributed and Parallel Processing

This area covers a wide spectrum of research issues related to high-performance computing. Active research topics include parallel computational models, parallel and distributed algorithms, associative computing, parallelizing compilers, massively parallel computer architectures, interconnection networks, and cluster computing. The research in this area has been supported by NASA, ONR, NSF, and OBR.

Networking and Net-Centric Systems

The faculty in this area investigate research issues in high-performance computer communications networks. Major topics include adaptive routing protocols, high-speed switching and transmission techniques, multiple access protocols, multimedia networks, network algorithms, network management, programmable and active networks, traffic management and congestion control, and web-based computing. The research in this area has been supported by CAIDA, DARPA, ITEC, Internet2, NASA, CISCO, NSF, and OBR.

Computational Science and Visualization

The researchers in this area use high-performance computing and communications facilities to solve problems in other sciences and disciplines. In particular, numerical computing, scientific visualization, computational steering, virtual reality, and animation techniques are used to address problems in biological sciences, chemistry, geography, geology, and physics. The research in this area has been supported by NSF and OBR.


The faculty perform research with graduate and undergraduate students in the areas including, but not limited to; location-based privacy, mobile devices and social networks, privacry-aware database systems, digital forensics, cyber security, behavioral privacy, recommender systems, privacy in cloud computing, encryption, privacy preserving data mining in healthcare systems, de-identification of big data and modern security/privacy-aware access control models.  For more information please refer to the Advanced Information Security & Privacy (AISP) Lab.


Active research areas include bioinformatics, database and data mining, evolutionary algorithms, graph algorithms and computational geometry, computational biology, hardware-software codesign, Internet-based mathematical computing, software engineering and visualization, symbolic and algebraic computation, and web-based and multimedia languages. The research in this area has been supported by NSF and OBR, NASA, and ONR.

Department Labs

Research Equipment

KSU Math and Computer Science Systems

Colloquium Series Schedule

The Department of Computer Science Colloquium Series is generally scheduled for 3:45 p.m. - 5:00 p.m. on Wednesdays or Fridays, in the Math & Computer Science Building, Room 228. Directions to our building are available.

The Department of Computer Science maintains a mailing list for colloquia announcements. If you are interested in receiving emails when a colloquium is scheduled, please subscribe to the CS Colloquium Mailing List. You may unsubscribe at any time.

Institute for Computational Mathematics

Established in 1980, the Institute for Computational Mathematics (ICM) conducts and supports research in a broad spectrum of areas of computational mathematics, scientific computation, and computing/computer technologies for mathematics.

ICM research activities involve faculty and graduate students from several Kent State University units as well as mathematicians and computer scientists from the US and abroad. (continued)