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Emerging Networks and Security(ENaS)

Research Lab

Dr.Lanier A.Watkins
Associate Research Scientist
Johns Hopkins Whiting School of Engineering

Dr. Watkins is currently a senior professional staff member at the Johns Hopkins University Applied Physics Laboratory (JHU/APL) and an associate research scientist at the Information Security Institute, Whiting School of Engineering. Dr. Watkins' research presently encompasses the areas of critical infrastructure and network security. He is also developing expertise in the area of Biotechnology. He holds a Ph.D. in Computer Science from Georgia State University, where he was advised by Dr. Raheem Beyah. He obtained three degrees from Clark Atlanta University; two master's degrees in computer science and physics and a bachelor's degree in physics.

Dr.Renita Murimi
Assistant Professor
Oklahoma Baptist University

Dr. Renita Murimi is an Assistant Professor of Computer Science in the Paul Dickinson College of Business at Oklahoma Baptist University. Dr. Murimi's current research interest is computational social science for digital social networks. She is interested in studying the behavior of people on networks. She is currently investigating optimal network sizes (number of friends), impact of anonymity on posted content in social networks and a range of human behavior dealing with issues of friendship, humor and the like. She uses tools from machine learning, stochastic programming and game theory in her research. Prior research included topics in coverage processes, algorithmic game theory, constraint optimization and cognition theory for network design. Specifically, she studied the design of complex heterogeneous wireless sensor networks for various functionalities.

Craig A. Chin
Associate Professor
Kennesaw University

Craig A. Chin is an associate professor in the department of Electrical Engineering at Kennesaw State University. He received his Ph.D. in Electrical Engineering from Florida International University in 2006.
His research interests include: biomedical signal processing, image processing, pattern recognition, and active learning techniques applied to engineering education environments.