Cheng, Figueroa-López, and Neville Granted CAREER Awards

May,  2012

Jennifer Neville
José Figueroa-López
Guang Cheng

Congratulations to Assistant Professors Guang Cheng, José Figueroa-López, and Jennifer Neville, each of whom have been awarded grants by the Faculty Early Career Development (CAREER) Program from the National Science Foundation (NSF). This prestigious award supports junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education, and the integration of education and research, to build a firm foundation for a lifetime of leadership in integrating education and research.

Guang's proposal, titled "Bootstrap M-estimation in Semi-Nonparametric Models," is funded from July 1, 2012 to June 30, 2017 with a total budget of $400K. His research will focus on the issues associated with the rapid advancement of modern computers and technologies that have created unprecedented data explosion.
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The grant awarded to Figueroa-López for his proposal titled "Bridging high-frequency data analysis and continuous-time features of Lévy models," is funded from July 2012 through June 2017 with a total budget of $400K. The funded research targets a growing need for efficient and accurate statistical and computational methods for the high-frequency data generated by automated monitoring systems of increasing use in engineering applications, financial markets, and environmental studies.
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Jennifer's award for her proposal titled "Machine Learning Methods and Statistical Analysis Tools for Single Network Domains" will be funded from January 2012 through December 2016 for an estimated total of $496,640. Jennifer's research will focus on the development of robust statistical methods for single network domains, enhance our understanding of the mechanisms that influence the performance of network analysis methods, and drive the development of novel methods for complex network domains.
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Congratulations again to Professors Cheng, Figueroa-L�pez, and Neville!

May 2012