DARPA Cyber Grand Challenge competition, Summer 2016.
In addition to the team, the photo includes the Faculty advisor Professor Kang Li and the DARPA director.
Recent Ph.D graduate Mario Nakazawa, M.S. graduate Wenduo Zhou, and Prof. David Lowenthal have an upcoming paper in Supercomputing 2005 entitled "The MHETA Execution Model for Heterogeneous Clusters". This year's Supercomputing accepted only 25% of submissions. Prof. Lowenthal also has another paper with collaborators at NC State entitled "Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs"
Josh Brown (recent MSCS graduate) was recently notified that his research work had been accepted for presentation at a conference in Mexico; details: W.J. Brown and W.D. Potter, "Using Iterated Local Search With Adaptive Memory to Find Snake-In-The-Box Codes," in the 4th Mexican International Conference on Artificial Intelligence, MICAI'05, Monterrey, Mexico, November 14-18, 2005.
Dr. Ramaswamy's paper entitled "A Distributed Approach to Node Clustering in Decentralized Peer-to-Peer Networks" has appeared in this month's issue of IEEE Transactions on Parallel and Distributed Systems (Vol 16, Number 9). The complete list of authors (in the order appearing in the paper) are: Lakshmish Ramaswamy, Bugra Gedik (Gatech) and Ling Liu (Gatech).
Graduate students Chunmei Liu and Yinglei Song have co-authored with Dr. Liming Cai three research papers accepted by recent and upcoming competitive international conferences in bioinformatics CSB'05, WABI'05, and PSB'06 (with acceptance rates 15% ~ 30%).
The year 2006 represents 50 years of AI research, an occassion that is being celebrated with special issues of AI journals and expanded programs at AI conferences, most notably the prestigious AAAI conference held at Boston that was attended by many researchers. From our department, Prof.
Prof. Lowenthal's two journal papers were accepted recently:
Vincent W. Freeh, David K. Lowenthal, Feng Pan, Robert Springer, Nandani Kappiah, Barry Rountree, and Mark Femal. Analyzing the Energy-Time Tradeoff in High Performance Computing Applications To appear in IEEE Transactions on Parallel and Distributed Systems