Resilient, Robust and Adaptive Sensor Networks with Distributed Sequential Detection and Data Fusion
Professor Demetrios Kazakos
Institute of Electrical and Electronics Engineers
Texas Southern University, USA
In this research, we study and analyze two major problems in establishing and maintaining the overall performance resilience of Large Sensor Networks in the presence of Large Data Sets. The first one is the fastest detection and counteraction of intrusions, and the second one is the fastest detection and robustification of the data network from failures of nodes and links. Our method for remedying the problem, is to create a distributed processing network of autonomous monitoring agents, who will be parts of a system hierarchy, that will enhance the information assurance and robustness to local failures of sensor networks . The fundamental tools and principles of the approaches is the use of Optimal Distributed Multisensor Detection approaches, with generalized decision rules like list decisions , and sequential detection using data fusion, data reduction and feature selection methods under decision theoretic criteria. The end result of our study will be the development of new theoretical algorithms and quantitative measures of secure and adaptive networks , but also of new simulation tools. We will study both wired and wireless data and sensor networks. Both Information Theoretic and Decision Theoretic criteria will be part of our methodology and modeling. The novelty of our method is the establishment of a unifying statistical, theoretical and modeling approach, which is lacking to date
Brief Biography of the Speaker:
Demetrios Kazakos received a Diploma in Electrical, Mechanical and Industrial Engineering from the National Technical University of Athens, a Master of Arts degree in Electrical Engineering from Princeton University and a Doctor of Philosophy degree from the University of Southern California.
In 1992, he was elevated to the grade of Fellow of IEEE, for his research in two areas: Enhanced Algorithms for Multiuser Multiaccess Networks and Statistical Pattern Recognition. In 2009, he was elevated to the grade of IEEE Life Fellow. At the same time he has always been a very active participant in IEEE conference organizing and editorial activities. He was Editor of the IEEE Transactions on Communications for 5 years, Technical Program Chair for two major IEEE Conferences, and member of the Technical Program Committee for several IEEE and other conferences.
In 2001, he undertook the position of Professor and Chair of the Electrical Engineering and Computer Science Department at the University of Toledo.
From 2006 to 2008, he was Dean of the College of Science and Technology at Texas Southern University. From September 2009 to September 2011, he was at the National Science Foundation in the position of Program Director responsible for the Program: “Centers of Research Excellence in Science and Technology”.
Overall, he has published about 175 refereed journal papers, book chapters and conference proceeding papers, as well as three books.