From: Audrey Avant <Audrey.Avant@asu.edu>
Date: Thu, Mar 4, 2010 at 10:40 AM
Subject: UPDATE: Seminar: Robust Performance of Networked Systems in Adverse and Uncertain Environments: March 8, 2010: 3:00pm - 4:00pm
Please note change in time (3:00pm – 4:00pm).
SCHOOL OF COMPUTING, INFORMATICS, AND DECISION SYSTEMS ENGINEERING
PO Box 878809
Tempe, AZ 85287-8809
Robust Performance of Networked Systems in Adverse and Uncertain Environments
Monday, March 8, 2010
3:00pm – 4:00pm
Dr. Vladimir L. Boginski
University of Florida Research and Engineering Education Facility (UF-REEF), Shalimar, FL
Networked systems (e.g., communication/sensor networks) play a crucial role in many military and civilian tasks nowadays. Clearly, robust and efficient design and functionality of these networked systems would provide superior capabilities in collecting, processing, and communicating various types of information between system components. We address the aspects of robust performance of communication/sensor networks and other types of networks in terms of designing and identifying robust networks clusters. The important task that needs to be addressed is the ability to adequately respond to potential disruption/failure threats that may affect the efficiency of networked systems. These threats may be of various origins (e.g., enemy attacks); moreover, they are often uncertain by nature. We attempt to identify robust optimal strategies that take into account these factors and ensure the overall efficiency of networked systems under these conditions.
Dr. Vladimir L. Boginski is a faculty member at the University of Florida Research and Engineering Education Facility (UF-REEF) located in Shalimar, FL. He holds a PhD degree in Industrial and Systems Engineering from the University of Florida (Gainesville, FL). He has conducted a number of research projects in the areas of network-based modeling and optimization, as well as data mining applications. His areas of interest are rather diverse. He has successfully conducted research in network-based modeling and optimization in communication/sensor networks, biological networks, financial markets, and social/collaboration networks, as well as predictive modeling data mining techniques in medicine, biochemistry, and military applications. His current research emphasis (in collaboration with the Air Force Research Laboratory) is on addressing uncertainty and robustness issues in the performance of networked systems by taking into account possible component failures, and developing optimal strategies for minimizing the negative impacts of these factors. His research has been sponsored by the U.S. Department of Defense (AFRL/AFOSR, DTRA), the U.S.
Department of Energy, and the National Science Foundation. He is also a recent recipient of the DTRA Young Investigator Award.
Contact Arunabha Sen (firstname.lastname@example.org) for any questions you may have or if you'd like to schedule a meeting with Dr. Boginski.