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U of M’s Dr. Robert Kozma Named IEEE Fellow

For release: December 10, 2013
For press information, contact Gabrielle Maxey, 901/678-2843

Dr. Robert Kozma
Dr. Robert Kozma

Dr. Robert Kozma, First Tennessee Professor of Mathematics at the University of Memphis, has been named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He is being recognized for his contributions to pattern-based computation based on large-scale networks and random graphs.

The grade of Fellow is conferred by the IEEE board of directors upon individuals 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 1 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.

Kozma’s breakthrough research developed a class of mathematical and computational models of intentional neurodynamics called neuropercolation. He shows that intelligent behavior in animals and humans arises as a delicate balance between complementary aspects of local fragmentation and overall dominance of a global field in the form of mesoscopic or intermediate effects. Biological intelligence, according to Kozma’s approach, is the manifestation of an open thermodynamic system converting chaos and noise into high-level intelligent behavior.

Kozma holds a PhD in physics from Delft University of Technology (The Netherlands), MSc degrees in mathematics from Eotvos University (Budapest, Hungary) and in engineering physics from Moscow Energy Institute (Russia). Previous faculty appointments include Tohoku University (Sendai, Japan), Otago University (Dunedin, New Zealand), and University of California at Berkeley. He had visiting positions at the NASA Jet Propulsion Laboratory, Sarnoff Corp. and the U.S .Air Force Research Laboratory. Kozma is the recipient of numerous awards, including the Gabor Award and Fellow of the International Neural Network Society.

The IEEE is the world’s leading professional association for advancing technology for humanity. Through its 400,000 members in 160 countries, the IEEE is a leading authority on a wide variety of areas 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 association 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  

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