Recent Research Awards
|Victor De Oliveira
||Geostatistical Modeling of Spatial Discrete Data for National Science Foundation, 9/1/12
||Using Model Checking for Formal Verification of Security Properties of Digital Hardware for Raytheon Master Agreement, 12/08/11
||DIETRICH-US Army/Jacobs/MECX for Jacobs Engineering, 10/10/2011
||IASP Scholarship Program for Department of Defense, 08/26/11
||SNRP - QUANTITATIVE NEUROBIOLOGY AT THE UNIVERSITY OF TEXAS AT SAN ANTONIO CORE B: QUANTITATIVE NEUROSTATISTICS for National Institutes of Health, 08/15/11
||Reform Studies - Koch Foundation for Charles G. Koch Charitable Foundation, 06/24/11
Other Research Projects:
The Texas Sustainable Energy Research Institute (TSERI) at UTSA continues to impact the energy future of San Antonio conducting research in energy efficiency conservation under the direction of Lloyd Potter, principal investigator from the Department of Demography and Organization Studies.
Also collaborating on the team this summer are College of Business faculty members Jerome Keating, professor of management science and statistics, and Stephanie Cano, senior lecturer in management science and statistics.
Keating is building models to predict electrical consumption based on housing characteristics such as square footage, year built, roof type, etc. and on householder’s demographics such as income, age, number of children, etc.
Sponsor: Office of Research Development & TSERI
Dr. Donghoon (David) Han, assistant professor of management science and statistics, in cooperation with Hariharan Krishnaswami, assistant professor of electrical engineering, are developing statistical variability analysis tools to model photovoltaic (PV) systems that will enable prediction of the impact of high penetration of solar into the power grid. Temporal variability studies of multi-megawatt PV systems have indicated smoothing effect on the output of these systems from the minutes to hours scale. This project builds over this by performing regression and correlation analysis of spatial variability of PV plants separated geographically along with temporal variability. The results of this analysis in the minutes to hours scale are valuable to utility planners to design balancing systems for the entire distribution grid. Temporal variability analysis in the minutes scale forms as design input for architects and builders who are targeting zero net energy buildings.
SPONSOR: National Science Foundation
Dr. Nandini Kannan, professor of management science and statistics, has been chosen to serve as the program director for the Statistics Program at the National Science Foundation for 2011-2013. She will be on leave from UTSA during this assignment.
A fellow of the American Statistical Association (ASA), Kannan has been a champion for the college's statistics programs through her administrative leadership, programmatic development and research accomplishments. She was instrumental in developing the college's Ph.D. program in applied statistics.
Kannan has an impressive research record and has published more than 30 publications in refereed journals. And, she collaborates with researchers in applying statistical theory and methodology to solving real world problems. Her primary field of research is statistical signal processing, while other research interests include reliability and life-testing experiments and modeling decompression sickness using survival analysis.