Texas A&M Assistant Professor Receives National Science Foundation Award

Jun 15th, 2013 | By | Category: In the News, News

Dr. Braga-Neto of Texas A&M Receives NSF Award

The Communications and Information Foundations (CIF) award from the National Science Foundation (NSF) was recently awarded to Texas A&M University (TAMU) assistant professor Dr. Ulisses Braga-Neto. Dr. Braga-Neto is an assistance professor in the The Department of Electrical and Computer Engineering and is a faculty member of the new Center for Genomics and Bioinformatics Systems Engineering (expected to be open in the fall of this year). The National Science Foundation award was given for his research on complex dynamical systems with applications in the study of biochemical regulatory networks, titled “Optimal Estimation and Network Inference for Boolean Dynamical Systems.”

The NSF’s Communications and Information Foundations program is designed to support ”potentially transformative research that addresses the theoretical underpinnings and current and future enabling technologies for information acquisition, transmission, and processing in communications and information processing systems,” according to the website. The work of Dr. Braga-Neto, fits this description well, with the study of complex dynamical systems detailed as follows by Texas A&M:

“The project concerns the study of complex dynamical systems based on networks of logical gates updated and observed through noise at discrete time intervals. A novel signal model for such stochastic Boolean dynamical systems is proposed, along with its optimal recursive MMSE estimator, called the Boolean Kalman Filter (BKF). The methodology is applied to the optimal inference of biochemical regulatory networks from time series data, in collaboration with the Translational Genomics Research Institute (TGen), the University of Pittsburgh Center for Vaccine Research, and the Oswaldo Cruz Foundation (FIOCRUZ), in Brazil.”

The National Science Foundation award will be used to support Dr. Braga-Neto and his team of researchers over a period of three years.

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