Engineering Research Faculty Awards

Researcher of the Year - 2023-2024

Dr. Timothy M. Hansen is the Harold C. Hohbach Associate Professor in the Electrical Engineering and Computer Science Department at South Dakota State University, which he joined in August 2015. He received the B.S. degree in computer engineering with high honors from the Milwaukee School of Engineering, Milwaukee, WI, USA, in 2011, and the Ph.D. degree in electrical engineering from Colorado State University, Fort Collins, CO, USA, in 2015. During his Ph.D. studies, he was a researcher at the National Renewable Energy Laboratory in Golden, CO, in the energy systems integration group. He is an expert in computational aspects of modeling, optimization, and control of electric power and energy systems. His research applies optimization, high-performance/edge/quantum computing, and distributed stochastic control to the area of sustainable power and energy systems, with a focus on integration of renewable energy resources like rooftop solar panels. He has published over 100 peer-reviewed articles and successfully led millions of dollars in research projects from the U.S. National Science Foundation and Department of Energy. In 2020 he was recognized as the inaugural Graduate of the Last Decade from his alma mater, Milwaukee School of Engineering, for his significant achievements to begin his career."

Early Career Investigator of the Year - 2024

Hossein Moradi Rekabdarkolaee joined the Department of Mathematics and Statistics in 2018. Hossein has an undergraduate and master’s degree in Statistics, master’s degree in Mathematics. After graduating his Ph.D. from Virginia Commonwealth University in 2016, Hossein joined the research network for Statistical Methods for Atmospheric and Oceanic Sciences (STATMOS) where he worked with Professor Fuentes. Dr. Moradi’s research aims to advance statistical methodology in dimension reduction and variable selection for dependent and independent data, spatial data analysis, multivariate statistics, and Machine Learning. Hossein and his collaborators have developed computationally efficient methodologies for spatial, spatial-temporal, functional, and multivariate data and made theoretical and computational contributions to the estimation of the parameters of interest for agricultural, electrical, environmental, and health related studies. The research is unified by careful analyses of the consistency and efficiency of estimates. Hossein’s research has been funded by NSF, NIH, DOE, USDA, and three internal grants from SDSU.

Prior Researchers of the Year

Prior Young Investigators of the Year

Prior Grantswinship Award Winners