Bruce McMillin,    http://cs.mst.edu/facultystaffandfacilities/Bruce_McMillin.html,                             ff@mst.edu

Sanjay Madria,    http://www.mst.edu/~cswebdb and www.mst.edu/~madrias                                madrias@mst.edu

Daniel R. Tauritz,   http://cs.mst.edu/facultystaffandfacilities/Daniel_Tauritz.html,                                tauritzd@mst.edu

Dr. McMillin's   interests revolve around the distributed management of power and energy for transmission, distributed, and distribution energy resources. Distributed computing systems form the basis for the Cyber aspect of this management of physical resources.  As a Computer Scientist, the main thread of this research activity has been to create sound theory and practice of fault tolerance and security for distributed computing applications. His work treats these aspects as functions of the power and energy application rather than of the underlying system. This has required development of a new theory of how program correctness is understood. The approach is to provide semantics to ensure, at runtime, that a distributed program is survivable (has fault tolerance) and maintains its security, in the presence of system failures and security intrusions. These semantics form Bridge Theories to span the Cyber and Physical worlds.   

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Dr. Madria's   research interest is in energy efficient processing of data across wireless networks in the domain of mobile ad hoc networks and sensor networks. These networks are mainly constraint with battery power and therefore, the computing and communication algorithms have to be energy-efficient. Dr Madria has designed and experimented with many power-aware security algorithms and routing, dynamic energy-efficient data management and privacy preserving schemes.  There are many sensor network applications such as disaster recovery, battlefield environment, moving object tracking etc, which require power-efficient solutions.  The more information on my research can be obtained from www.mst.edu/~cswebdb.    

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Dr. Daniel R. Tauritz'  primary research interest is in Evolutionary Computing, both the design of novel types of Evolutionary Algorithms and their application to real-world problem solving in areas such as Critical Infrastructure Protection (coevolutionary armsraces for hardening electric power transmission systems), Automated Software Engineering (coevolving test cases and software artifacts), Intrusion Detection Systems (evolving rule sets), and Inverse Diffusion Analysis (employing Genetic programming).  His long-term research goal is to create parameterless autonomous Evolutionary Algorithms which require no parameter tuning by users and which employ an autonomous control structure.  Such structures have the potential to autonomously regulate population dynamics via emergent behavior rather than the centralized control structures traditionally employed by Evolutionary Algorithms.  He is an Associate Professor with Tenure of Computer Science at Missouri S&T, Director of the Natural Computation Laboratory
(http://web.mst.edu/~tauritzd/nc-lab/), Research Investigator in the Intelligent Systems Center (http://isc.mst.edu/), and a Collaborator in the Energy Research & Development Center (http://energy.mst.edu/).  He received a Ph.D. in Computer Science from Leiden University in 2002.  

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