## Dr Andreas Artemiou

### Overview

Telephone: +44(0)29 208 70616

Fax: +44(0)29 208 74199

Extension: 70616

Location: M/2.35

#### Research Interests

- Unsupervised dimension reduction methodology like PCA and its effectiveness when it is applied in a regression setting.
- Supervised dimension reduction like sufficient dimension reduction. Using machine learning ideas in the sufficient dimension reduction framework.
- Machine learning algorithms.
- Kernel methods.
- Applications of dimension reduction and machine learning ideas to massive/high dimensional real datasets.

#### Research Group

#### Teaching

**Autumn Semester**

MA2002 Matrix Algebra

**Spring Semester**

MA0263 Introduction to Computational Statistics

### Publications

**Publications**

Peer reviewed articles:

Andreas Artemiou and Min Shu (2013). Cost reweighed scheme for principal support vector machine for sufficient dimension reduction. To appear in contemporary development in Statistical Theory

Andreas Artemiou and Bing Li (2013). Predictive power of principal components for single index model and sufficient dimension reduction. Journal of Multivariate Analysis, 119, 176-184.

Bing Li, Andreas Artemiou and Lexin Li (2011. ) Principal Support Vector Machine. Annals of Statistics, 39, 3182 – 3210.

Soumya Shrivastava, Andreas Artemiou and Adrienne Minerick (2011). DC insulator based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing. Electrophoresis, 32, 2530-2540.

Andreas Artemiou and Bing Li (2009). On principal components and regression: A statistical explanation of a natural phenomenon. Statistica Sinica, 19, 1557-1565.

Filia Vonta and Andreas Artemiou (2007). Hypothesis testing in frailty models for arbitrary censored and truncated data. Communications in Depandability, Quality and Management, 10, 110-121.

#### Encyclopedia Entries:

Contributed Essay on Regression Analysis to appear in Encyclopedia on Soial Network Analysis and Mining by Springer.

### Research

**External Funding**

**Expired:**

US National Science Foundation, Division of Mathematical Sciences, 09/2012 $110000

#### Major Conference Talks

**Invited talks: **

1st International Symposium on Nonparametric Statistics. “Using machine learning for sufficient dimension reduction. Halkidiki, Greece, June 2012

Greek Statistical Institute meeting 2011. “Hyperplane Alignment for sufficient dimension reduction: Implementation, Application and afdvantages”, Patra, Greece, April 2011

**Contributed Talks:**

Joint Statistical Meeting 2013: “Using large margin classifies for sufficient dimension reduction”, Montreal, Canada, August 2013

Joint Statistical Meeting 2012: “Slice inverse mean difference for sufficient dimension reduction”, San Diego, CA, July 2012

14th meeting of New Researchers in Statistics and Probability: “Using machine algorithm in sufficient dimension reduction”, San Diego, CA, July 2012

Workshop on Statistical Inference Complex/High Dimensional Problems: “On the use of machine learning techniques in the sufficient dimension reduction framework” Vienna, Austria, July 2012

Joint Statistical Meeting 2011: “Hyperplane Alignment for sufficient dimension reduction: Implementation, Application and afdvantages”, Miami, FL, August 2011

Joint Statistical Meeting 2010: “Predictive potential of Kernel Principal Support Vector Machine”, Vancouver, Canada August 2010

Joint Statistical Meeting 2008: “Principal Components and regression: A statistical explanation of a natural phenomenos”, Denver, CO, August 2008

### Postgraduate Students

**Students Graduated (Since 2000)**

Master of Science:

Lipu Tian at Michigan Technological University (2012)

Former Research Assistants:

Min Shu at Michigan Technological University

**Current students: **

Ph.D. students: James Wright at Michigan Technological University (expected graduation May 2014)

### Biography

**Education**

PhD – Statistics, Pennsylvania State University, USA, 08/2010.

M.Sc. – Statistics, Pennsylvania State University, USA, 05/2008.

BSc – Mathematics and Statistics (minor Computer Science), University of Cyprus, Cyprus, 06/2005.

**Previous Positions**

09/2012-05/2013 New Researcher Fellow at the Statistics and Applied Mathematics Instittute

08/2010 – 08/2013 Assistant Professor, Department of Mathematical Sciences, Michigan Technological University, USA

**Honours/Awards**

Eleneio Dissertation Award, Greek Statistical Institute (2011)

Teaching Award, Department of Statistics, Pennsylvania State University, (2008)

**Member of: **

Institute of Mathematical Statistics

American Statistical Association

Greek Statistical Institute