UNC Greensboro... (For more, see an impressive list of recent UNCG Accolades)
... is a Tier 1 National University;
... is one of the few accredited computer science programs in the state;
... is a High Activity Research University.
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Prof. Lixin Fu and Prof. Stephen Tate have been awarded a grant from NSF (award 1323381) for the project "Innovative Active Learning Using Tablets." This project, scheduled to last until August 31, 2015, involves the development and use of active learning activities in computer science lectures, primarily in data structures and database classes. This project is a collaboration with Appalachian State and SUNY at Stony Brook, and previous work on this project has explored some technology-supported active learning activities in a UNCG data structures class (CSC 330). The new funding will support both development of new tablet-based activities and the development and delivery of workshops to teach faculty at other universities how to develop their own activities and to incorporate these activities effectively into their classes.
Prof. Blanchet-Sadri's summer REU program continues to produce impressive results: A paper entitled "Partial Word DFAs," written by Prof. Blanchet-Sadri, former UNCG student Ben Wyatt, and two participants in the REU program (Eric Balkanski from Carnegie-Mellon University and Matthew Kilgore from Lehigh University), earned the "Best Paper Award" at the 18th International Conference on Implementation and Application of Automata, held in Halifax, Canada, in July 2013. In this paper, the authors investigated and proved results regarding the efficiency of partial word DFAs, a type of automata in which the state complexity falls between that of standard non-deterministic finite automata (NFA) and deterministic finite automata (DFA).
Prof. Deng has been awarded a grant from NSF (award 1320428) for his project "Security in Dynamic Environments: Harvesting Network Randomness and Diversity," which will support this research project from August 1, 2013 until July 31, 2016. In this project, which is a collaborative effort with researchers at Louisiana State University and Iowa State University, Prof. Deng will be studying techniques for extracting and using the randomness that is inherent in communication networks. Applications of network randomness show promise for improving network security, and provide important new insight into the statistical nature of networks.