Optimization and Data Mining Issues in Robust Performance of Networked Systems in Uncertain Environments


Dr. Vladimir Boginski


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 analyzing the data collected by sensors, as well as robust procedures for transmitting the data through communication/sensor networks, in terms of network connectivity and flows. The task of crucial importance that needs to be addressed is the ability to adequately respond to potential 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 will take into account these uncertain factors and maximize 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 data mining and network-based modeling and optimization. His areas of interest are rather diverse. He has successfully conducted research in network-based modeling and optimization in sensor applications, financial markets, and social/collaboration networks, as well as predictive modeling data mining techniques in medicine, biochemistry, and military applications. His current research emphasis is on addressing uncertainties that may affect the performance of networked systems due to possible component failures, and developing optimal strategies for minimizing the negative impacts of these factors. His research has been sponsored by the National Science Foundation and the U.S. Air Force. He has also co-authored a number of refereed journal articles and book chapters and co-edited a refereed volume on Data Mining in Biomedicine.