Dr. Gokarna Sharma is awarded NSF grant
Dr. Gokarna Sharma has been awarded a National Science Foundation Grant for his project EAGER: Transactional Memory Foundations for Distributed Multiprocessor Systems. Dr. Sharma's current research interests include Parallel and distributed computing, emerging technologies, distributed sensor networks, and network, graph, and robotic algorithms. Dr. Sharma is currently (summer session, 2019) teaching the first course offered in Blockchain and Cryptocurrency. http://www.cs.kent.edu/~sharma/
Dr. Ye Zhao is awarded new grant
Dr. Zhao was awarded a summer research grant by Brookhaven Science Associates, LLC for his project Full Stack Development for Scientific Data Analysis and Visualization. Dr. Zhao's current research interests are in the areas of computer graphics and visualization. He is the recipient of several previous grants, including National Science Foundation Grants, and is the author of numerous publications. http://www.cs.kent.edu/~zhao/
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.
DATA SECURITY & PRIVACY
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, privacy-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.
- Distributed Steering, Computation and Visualization Laboratory (DiSCoV)
- The Software Development Laboratory (SDML)
- Networking and Media Communications Research (MediaNet) Laboratory
- VLSI Design Laboratory
- Bioinformatics and Biocomputing Laboratory
- Parallel and Associative Computing Lab
- Visualization and Graphics Lab
- Advanced Information Security and Privacy (AISP) Lab
- Advanced Tele-Robotics Lab (ATR)
- Big Data Science Lab
- Algorithmic Research Laboratory
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.
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