Semhar Michael

Semhar Michael is an Associate Professor of Statistics at the Department of Mathematics and Statistics, South Dakota State University (SDSU). She holds a B.S. in Applied Mathematics from the University of Asmara (2006), an M.S. in Mathematics from the University of North Dakota (2011), and a Ph.D. in Applied Statistics from the University of Alabama (2015). Her research focuses on computational statistics, including mixture modeling, unsupervised learning, and clustering, with applications to forensic science, health informatics, renewable energy, and precision agriculture.

Dr. Michael’s academic responsibilities include teaching advanced statistics courses such as Statistical Inference I/II, Multivariate Analysis, and Statistical Computation. She has served as an associate editor for the Journal of Classification and organized conferences like the SDSU Annual Data Science Symposium. Her professional memberships include the American Statistical Association (ASA), Institute of Mathematical Statistics (IMS), and International Institute for Analytics (IIA).

Her research has led to awards such as the 2017 Certificate of Appreciation and the 2016 ASA Travel Award. Key projects include grants from the National Science Foundation (NSF) and NIH, focusing on statistical methods for latent subpopulations, health disparities in kidney disease, and precision agriculture innovation. She collaborates with interdisciplinary teams on topics like AI-driven healthcare bias detection and climate-smart agriculture strategies.

Dr. Michael’s work bridges statistical theory and real-world applications, emphasizing methodological innovation and societal impact. Her lab’s research extends to forensic source identification, solar irradiance forecasting, and text mining of large datasets.