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K-State Center for Complex Network Approach to Epidemiological, Biological and Sociological Modeling and Simulation (EPICENTER) provides resources to analyze, build and simulate mathematical models for spreading phenomena in complex networks.

One of the main goals of EPICENTER is to provide policy makers with real-time flexible tools to curtail epidemiological outbreaks; whether such an outbreak occurs in humans, animals, plants or computers. Very little disrupts society and causes economic loss as severely as an out-of-control epidemic. Such an epidemic may result in human deaths, disposal of herds, destruction of crops, inability to communicate over the Internet, or significant economic losses, and be the result of terrorist attacks or natural causes. As a matter of fact, more deaths are due to infectious diseases worldwide than those caused by any other threat, such as famine, war, terrorism, etc. EPICENTER members are developing mathematical models, algorithms, and software for network simulation and topology analysis with mobile agents that allow dynamic environmental inputs. Our goal is to design efficient, realistic simulations for real-time implementation of many diverse diffusion processes.

The faculty of EPICENTER is comprised of researchers from different disciplines, namely agriculture, veterinary, biology, medicine, social sciences, and engineering. These researchers have a common interest in applying complex network approaches to different spreading and diffusion phenomena in many diverse contexts, combining biological applications with core mathematical competencies.

ECE Research Brochure featuring EPICENTER

News

EPICENTER has received an award from K-State Center for Engagement and Community Development (CECD) to design "Efficient Epidemic Strategies for the City of Chanute, Kansas". Pietro Poggi-Corradini, Walter Schumm, and Caterina Scoglio will work with Steve Kubler, Safety Coordinator of the City of Chanute.



We have openings for two strongly motivated PhD students in the field of Theoretical Network Science and Computational Science applied to epidemic simulations. Preference will be given to those who:

1. Have strong programming skills and math background.

2. Hold an M.S. degree in related programs such as Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, System Engineering, Mathematics, Physics, Statistics.

3. Have research background preferably in graph theory, probabilities and complex networks.

• Students may need scores of TOEFL (Test Of English as a Foreign Language) and GRE (Graduate Record Examinations) to be accepted to graduate school.

• Information for prospective students can be found at: http://www.k-state.edu/grad, and http://eece.ksu.edu/index.php?page=grad.

• Please, refer to this announcement explicitly when writing the statement of objectives for admission into our College of Engineering Doctor of Philosophy program in the Department of Electrical and Computer Engineering at Kansas State University.

For information e-mail grad@ece.ksu.edu. 




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