Piscataway, N.J., December 10, 2012 -- Madhav Marathe, deputy director of the Network Dynamics and Simulation Science Laboratory and professor of computer science at Virginia Tech, of Blacksburg, Va., has been named an Institute of Electrical and Electronics Engineers (IEEE) Fellow. He is being recognized for contributions to the development of formal models and software tools for understanding socio-technical networks.

The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one- percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement. For 2013, 298 individuals have been elevated to IEEE Fellow.

Marathe is recognized for his work in network science, developing general principles that govern the design, analysis, control, and optimization of socially coupled networks. These include: urban transport networks, the Internet, the world wide web, wireless networks, and social networks such as Facebook and Twitter. Unlike physical networks, coupled socio-technical networks are affected not only by physical laws but also by human behavior and regulatory agencies. Understanding such networks thus presents novel challenges to researchers. Marathe's work spans the entire spectrum of basic, applied, and translational research that results in a tangible societal impact. His work leverages the recent advances in computing and today’s data-rich environment and has developed analytical methods to advance the state of the art in network science and engineering. The work has resulted in the development of innovative and widely used software tools to address important societal problems. Furthermore, he has worked very closely with analysts and policy makers to evaluate and formulate public policies in the area of public health epidemiology, resilient infrastructures, and national security.  Marathe credits the collective team science environment in which he works for this achievement.

Marathe received his Bachelor of Technology degree in computer science and engineering from the Indian Institute of Technology, Madras, and his Ph.D. in 1994 in computer science from the University of Albany. Before coming to Virginia Tech in 2005, he worked in the Basic and Applied Simulation Science Group (CCS-5) in the computer and computational sciences division at Los Alamos National Laboratory. He received the University at Albany Distinguished Alumni Award and the 2010 Award for Research Excellence at Virginia Bioinformatics Institute. He was the 2011 Inaugural George Michael Distinguished Scholar at Lawrence Livermore National Laboratory.

The IEEE is the world’s leading professional organization for advancing technology for humanity. Through its 400,000 members in 160 countries, the IEEE is a leading authority on a wide variety of aresas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics.

Dedicated to the advancement of technology, the IEEE publishes 30 percent of the world’s literature in the electrical and electronics engineering and computer science fields, and has developed more than 900 active industry standards. The organization also sponsors or co-sponsors nearly 400 international technical conferences each year. If you would like to learn more about IEEE or the IEEE Fellow Program, please visit www.ieee.org

About the Virginia Bioinformatics Institute
The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science, combining information technology, biology and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, computational immunology, statistics, economics, synthetic biology and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world’s scientific, governmental and wider communities.


Tiffany Trent

December 10, 2012