—From a song by Notis Sfakianakis
- Fisher 306
Assistant Professor, Mathematical Sciences
- PhD, Statistics, Pennsylvania State University
- MS, Statistics, Pennsylvania State University
- BS, Mathematics and Statistics (Minor: Computer Science), University of Cyprus
Andreas was born and raised in Cyprus. In 2005 he got his B.Sc. in Mathematics and Statistics (minor in Computer Science) from the Department of Mathematics and Statistics at the University of Cyprus. Then he moved to Pennsylvania and the Department of Statistics at Pennsylvania State University for his graduate studies. He got an M.Sc. in 2008 and a Ph.D. in 2010. Immediately following his graduation he moved to the upper peninsula of Michigan where he works as an Assistant Professor at the Department of Statistics in Michigan Technological University.
His research interests are for dimension reduction methods and statistical learning. Part of his research is being funded by the National Science Foundation from 09/2012 to 08/2015.
He is a member of the American Statistical Association, the Institute of Mathematical Statistics and the Greek Statistical Institute.
He has taught introductory courses in Statistics for Engineers and a graduate course on Computational Statistics.
Links of Interest
Areas of Expertise
- Statistics, Dimension Reduction, Kernel Methods
- Li, B., Artemiou, A. and Li, L. (2011). Principal support vector machine for linear and nonlinear sufficient dimension reduction, Annals of Statistics, 39, 3182-3210 Read More
- Shrivastava, S. K., Artemiou, A. and Minerick, A. R. (2011) DC insulatorbased dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing, Electrophoresis, 32, 2530-2540 Read More
- Artemiou, A. and Li, B. (2009). On principal components and regression: A statistical explanation of a natural phenomenon, Statistica Sinica, 19, 1557-1565 Read More
- Vonta, F. and Artemiou, A. (2007). Hypothesis testing in frailty models for arbitrary censored and truncated data Read More
External funding awarded
- DMS 1207651: 09/2012 to 08/2015: Extending the use of machine learning techniques to sufficient dimension reduction.