![Andreas Artemiou](https://profiles-cardiff.imgix.net/attachments/800?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Andreas Artemiou
Deputy Director, Data Science Academy
Reader
- ArtemiouA@cardiff.ac.uk
- +44 29208 70616
- Abacws, Room 2.05, Senghennydd Road, Cathays, Cardiff, CF24 4AG
- Media commentator
- Available for postgraduate supervision
Overview
I am a Reader in Statistics at the School of Mathematics since August 2021. I joined the School in September 2013 as a Lecturer and I was promoted to Senior Lecturer in August 2019. Before that I was an Assistant Professor at the Department of Mathematics at Michigan Technological University (2010-2013) and a New Researcher Fellow at the Statistics and Applied Mathematics Sciences Institute (SAMSI - North Carolina, US). My research has been funded by National Science Foundation, the London Mathematical Society, the GW4 Network and the Wellcome Trust.
My research interest includes high-dimensional statistics, supervised and unsupervised dimension reduction, computational statistics, machine learning and text data analysis. I am happy to discuss with prospective Ph.D. students any research projects they are interested with if they want to work with me.
I currently have the following roles within the School/University:
- Director of Postgraduate Taught Studies
- Deputy Academic Director for Data Science Academy (DSA)
- Theme Lead on "Skills and Education" in the CU/ONS Strategic Partnership
Publication
2023
- Burton, R. J. et al. 2023. Conventional and unconventional T cell responses contribute to the prediction of clinical outcome and causative bacterial pathogen in sepsis patients. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2023.09.13.23295490v1) Available at: https://www.medrxiv.org/content/10.1101/2023.09.13.23295490v1
- Virta, J. and Artemiou, A. 2023. Poisson PCA for matrix count data. Pattern Recognition 138, article number: 109401. (10.1016/j.patcog.2023.109401)
- Christou, A. and Artemiou, A. 2023. Adaptive L0 Regularization for Sparse Support Vector Regression. Mathematics 11(13), article number: 2808. (10.3390/math11132808)
- Burton, R. J., Cuff, S. M., Morgan, M. P., Artemiou, A. and Eberl, M. 2023. GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data. Bioinformatics 39(1), article number: btac751. (10.1093/bioinformatics/btac751)
2022
- Guest, K., Whalley, T., Maillard, J., Artemiou, A., Szomolay, B. and Webber, M. A. 2022. Responses of Salmonella biofilms to oxidizing biocides: evidence of spatial clustering. Environmental Microbiology 24(12), pp. 6426-6438. (10.1111/1462-2920.16263)
- Ponsford, M. J. et al. 2022. Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service evaluation. Journal of Clinical Pathology 75(4), pp. 255-262. (10.1136/jclinpath-2020-207157)
- Smallman, L. and Artemiou, A. 2022. A literature review of (sparse) exponential family PCA. Journal of Statistical Theory and Practice 16, article number: 14. (10.1007/s42519-021-00238-4)
- Pircalabelu, E. and Artemiou, A. 2022. High-dimensional sufficient dimension reduction through principal projections. Electronic Journal of Statistics 16(1), pp. 1804-1830. (10.1214/22-EJS1988)
2021
- Randall, H., Artemiou, A. and Qiao, X. 2021. Sufficient dimension reduction based on distance-weighted discrimination. Scandinavian Journal of Statistics 48(4), pp. 1186-1211. (10.1111/sjos.12484)
- Christou, E., Settle, A. and Artemiou, A. 2021. Nonlinear dimension reduction for conditional quantiles. Advances in Data Analysis and Classification 15, pp. 937-956. (10.1007/s11634-021-00439-6)
- Pircalabelu, E. and Artemiou, A. 2021. Graph imposed sliced inverse regression. Computational Statistics & Data Analysis 164, article number: 107302. (10.1016/j.csda.2021.107302)
- Ntotsis, K., Karagrigoriou, A. and Artemiou, A. 2021. Interdependency pattern recognition in econometrics: a penalized regularization antidote. Econometrics 9(4), article number: 44. (10.3390/econometrics9040044)
- Burton, R. J., Ahmed, R., Cuff, S. M., Baker, S., Artemiou, A. and Eberl, M. 2021. CytoPy: An autonomous cytometry analysis framework. PLoS Computational Biology 17(6), article number: e1009071. (10.1371/journal.pcbi.1009071)
- Artemiou, A., Dong, Y. and Shin, S. J. 2021. Real-time sufficient dimension reduction through principal least squares support vector machines. Pattern Recognition 112, article number: 107768. (10.1016/j.patcog.2020.107768)
- Jones, B. and Artemiou, A. 2021. Revisiting the predictive potential of Kernel principal components. Statistics and Probability Letters 171, article number: 109019. (10.1016/j.spl.2020.109019)
- Babos, S. and Artemiou, A. 2021. Cumulative median estimation for sufficient dimension reduction. Stats 4(1), pp. 138-145. (10.3390/stats4010011)
- Artemiou, A. 2021. Using mutual information to measure the predictive power of principal components. In: Li, B. and Bura, E. eds. Festschrift to Dennis Cook. Springer
2020
- Smallman, L., Underwood, W. and Artemiou, A. 2020. Simple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination. Computational Statistics 35, pp. 559-577. (10.1007/s00180-019-00903-0)
- Jones, B. and Artemiou, A. 2020. On principal components regression with hilbertian predictors. Annals of the Institute of Statistical Mathematics 72, pp. 627-644. (10.1007/s10463-018-0702-9)
- Babos, S. and Artemiou, A. 2020. Sliced inverse median difference regression. Statistical Methods and Applications 29, pp. 937-954. (10.1007/s10260-020-00509-7)
- Jones, B., Artemiou, A. and Li, B. 2020. On the predictive potential of kernel principal components. Electronic Journal of Statistics 14(1), pp. 1-23. (10.1214/19-EJS1655)
2019
- Williams, L., Arribas-Ayllon, M., Artemiou, A. and Spasic, I. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36(3), pp. 619-648. (10.1007/s00357-019-9307-0)
- Artemiou, A. 2019. Using adaptively weighted large margin classifiers for robust sufficient dimension reduction. Statistics 53(5), pp. 1037-1051. (10.1080/02331888.2019.1636050)
- Artemiou, A. 2019. Cost-based reweighting for Principal Lq SVM for sufficient dimension reduction. Journal of Mathematics and Statistics 15(1), pp. 218-224. (10.3844/jmssp.2019.218.224)
- Spasic, I., Owen, D., Knight, D. and Artemiou, A. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019, Dublin, Ireland, 19 August 2019 Presented at Lynn, T. et al. eds.Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
- Vivian-Griffiths, T. et al. 2019. Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 180(1), pp. 80-85. (10.1002/ajmg.b.32705)
- Morgan, J., Harper, P., Knight, V., Artemiou, A., Carney, A. and Nelson, A. 2019. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 70(9), pp. 1425-1439. (10.1080/01605682.2018.1506559)
2018
- Challoumas, D. and Artemiou, A. 2018. Predictors of attack performance in high-level male volleyball players. International Journal of Sports Physiology and Performance 13(9), pp. 1230-1236. (10.1123/ijspp.2018-0125)
- Alothman, A., Dong, Y. and Artemiou, A. 2018. On dual model-free variable selection with two groups of variables. Journal of Multivariate Analysis 167, pp. 366-377. (10.1016/j.jmva.2018.06.003)
- Smallman, L., Artemiou, A. and Morgan, J. 2018. Sparse generalised principal component analysis. Pattern Recognition 83, pp. 443-455. (10.1016/j.patcog.2018.06.014)
2017
- Shin, S. J. and Artemiou, A. 2017. Penalized principal logistic regression for sparse sufficient dimension reduction. Computational Statistics & Data Analysis 111, pp. 48-58. (10.1016/j.csda.2016.12.003)
- Smallman, L. and Artemiou, A. 2017. A study on imbalance support vector machine algorithms for sufficient dimension reduction. Communications in Statistics - Theory and Methods 46(6), pp. 2751-2763. (10.1080/03610926.2015.1048889)
- Challoumas, D., Artemiou, A. and Dimitrakakis, G. 2017. Dominant vs non-dominant shoulder morphology in volleyball players and associations with shoulder pain and spike speed. Journal of Sports Sciences 35(1), pp. 65-73. (10.1080/02640414.2016.1155730)
2016
- Artemiou, A. and Dong, Y. 2016. Sufficient dimension reduction via principal Lq support vector machine. Electronic Journal of Statistics 10(1), pp. 783-805. (10.1214/16-ejs1122)
2015
- Artemiou, A. and Tian, L. 2015. Using sliced inverse mean difference for sufficient dimension reduction. Statistics and Probability Letters 106, pp. 184-190. (10.1016/j.spl.2015.07.025)
- Drosou, K., Artemiou, A. and Koukouvinos, C. 2015. A comparative study for the use of large margin classifies on seismic data. Journal of Applied Statistics 42(1), pp. 180-201. (10.1080/02664763.2014.938619)
2014
- Artemiou, A. and Shu, M. 2014. A cost based reweighted scheme of Principal Support Vector Machine. In: Akritas, M. G., Lahiri, S. N. and Politis, D. N. eds. Topics in Nonparametric Statistics. Springer Proceedings in Mathematics & Statistics Springer, (10.1007/978-1-4939-0569-0_1)
- Artemiou, A. 2014. Applications of sufficient dimension reduction algorithms on non-elliptical data. Journal of the Indian Society of Agricultural Statistics 68(2), pp. 273-283.
2013
- Artemiou, A. and Li, B. 2013. Predictive power of principal components for single-index model and sufficient dimension reduction. Journal of Multivariate Analysis 119, pp. 176-184. (10.1016/j.jmva.2013.04.015)
2011
- Srivastava, S. K., Artemiou, A. and Minerick, A. R. 2011. Direct current insulator-based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing. Electrophoresis 32(18), pp. 2530-2540. (10.1002/elps.201100089)
- Li, B., Artemiou, A. and Li, L. 2011. Principal support vector machines for linear and nonlinear sufficient dimension reduction. Annals of Statistics 39(6), pp. 3182-3210. (10.1214/11-AOS932)
2009
- Artemiou, A. and Li, B. 2009. On principal components and regression: a statistical explanation of a natural phenomenon. Statistica Sinica 19, pp. 1557-1565.
2007
- Artemiou, A. 2007. Hypothesis testing in frailty models for arbitrarily censored and truncated data. Communications in Dependability and Quality Management 10(1), pp. 110-121.
Articles
- Virta, J. and Artemiou, A. 2023. Poisson PCA for matrix count data. Pattern Recognition 138, article number: 109401. (10.1016/j.patcog.2023.109401)
- Christou, A. and Artemiou, A. 2023. Adaptive L0 Regularization for Sparse Support Vector Regression. Mathematics 11(13), article number: 2808. (10.3390/math11132808)
- Burton, R. J., Cuff, S. M., Morgan, M. P., Artemiou, A. and Eberl, M. 2023. GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data. Bioinformatics 39(1), article number: btac751. (10.1093/bioinformatics/btac751)
- Guest, K., Whalley, T., Maillard, J., Artemiou, A., Szomolay, B. and Webber, M. A. 2022. Responses of Salmonella biofilms to oxidizing biocides: evidence of spatial clustering. Environmental Microbiology 24(12), pp. 6426-6438. (10.1111/1462-2920.16263)
- Ponsford, M. J. et al. 2022. Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service evaluation. Journal of Clinical Pathology 75(4), pp. 255-262. (10.1136/jclinpath-2020-207157)
- Smallman, L. and Artemiou, A. 2022. A literature review of (sparse) exponential family PCA. Journal of Statistical Theory and Practice 16, article number: 14. (10.1007/s42519-021-00238-4)
- Pircalabelu, E. and Artemiou, A. 2022. High-dimensional sufficient dimension reduction through principal projections. Electronic Journal of Statistics 16(1), pp. 1804-1830. (10.1214/22-EJS1988)
- Randall, H., Artemiou, A. and Qiao, X. 2021. Sufficient dimension reduction based on distance-weighted discrimination. Scandinavian Journal of Statistics 48(4), pp. 1186-1211. (10.1111/sjos.12484)
- Christou, E., Settle, A. and Artemiou, A. 2021. Nonlinear dimension reduction for conditional quantiles. Advances in Data Analysis and Classification 15, pp. 937-956. (10.1007/s11634-021-00439-6)
- Pircalabelu, E. and Artemiou, A. 2021. Graph imposed sliced inverse regression. Computational Statistics & Data Analysis 164, article number: 107302. (10.1016/j.csda.2021.107302)
- Ntotsis, K., Karagrigoriou, A. and Artemiou, A. 2021. Interdependency pattern recognition in econometrics: a penalized regularization antidote. Econometrics 9(4), article number: 44. (10.3390/econometrics9040044)
- Burton, R. J., Ahmed, R., Cuff, S. M., Baker, S., Artemiou, A. and Eberl, M. 2021. CytoPy: An autonomous cytometry analysis framework. PLoS Computational Biology 17(6), article number: e1009071. (10.1371/journal.pcbi.1009071)
- Artemiou, A., Dong, Y. and Shin, S. J. 2021. Real-time sufficient dimension reduction through principal least squares support vector machines. Pattern Recognition 112, article number: 107768. (10.1016/j.patcog.2020.107768)
- Jones, B. and Artemiou, A. 2021. Revisiting the predictive potential of Kernel principal components. Statistics and Probability Letters 171, article number: 109019. (10.1016/j.spl.2020.109019)
- Babos, S. and Artemiou, A. 2021. Cumulative median estimation for sufficient dimension reduction. Stats 4(1), pp. 138-145. (10.3390/stats4010011)
- Smallman, L., Underwood, W. and Artemiou, A. 2020. Simple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination. Computational Statistics 35, pp. 559-577. (10.1007/s00180-019-00903-0)
- Jones, B. and Artemiou, A. 2020. On principal components regression with hilbertian predictors. Annals of the Institute of Statistical Mathematics 72, pp. 627-644. (10.1007/s10463-018-0702-9)
- Babos, S. and Artemiou, A. 2020. Sliced inverse median difference regression. Statistical Methods and Applications 29, pp. 937-954. (10.1007/s10260-020-00509-7)
- Jones, B., Artemiou, A. and Li, B. 2020. On the predictive potential of kernel principal components. Electronic Journal of Statistics 14(1), pp. 1-23. (10.1214/19-EJS1655)
- Williams, L., Arribas-Ayllon, M., Artemiou, A. and Spasic, I. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36(3), pp. 619-648. (10.1007/s00357-019-9307-0)
- Artemiou, A. 2019. Using adaptively weighted large margin classifiers for robust sufficient dimension reduction. Statistics 53(5), pp. 1037-1051. (10.1080/02331888.2019.1636050)
- Artemiou, A. 2019. Cost-based reweighting for Principal Lq SVM for sufficient dimension reduction. Journal of Mathematics and Statistics 15(1), pp. 218-224. (10.3844/jmssp.2019.218.224)
- Vivian-Griffiths, T. et al. 2019. Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 180(1), pp. 80-85. (10.1002/ajmg.b.32705)
- Morgan, J., Harper, P., Knight, V., Artemiou, A., Carney, A. and Nelson, A. 2019. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 70(9), pp. 1425-1439. (10.1080/01605682.2018.1506559)
- Challoumas, D. and Artemiou, A. 2018. Predictors of attack performance in high-level male volleyball players. International Journal of Sports Physiology and Performance 13(9), pp. 1230-1236. (10.1123/ijspp.2018-0125)
- Alothman, A., Dong, Y. and Artemiou, A. 2018. On dual model-free variable selection with two groups of variables. Journal of Multivariate Analysis 167, pp. 366-377. (10.1016/j.jmva.2018.06.003)
- Smallman, L., Artemiou, A. and Morgan, J. 2018. Sparse generalised principal component analysis. Pattern Recognition 83, pp. 443-455. (10.1016/j.patcog.2018.06.014)
- Shin, S. J. and Artemiou, A. 2017. Penalized principal logistic regression for sparse sufficient dimension reduction. Computational Statistics & Data Analysis 111, pp. 48-58. (10.1016/j.csda.2016.12.003)
- Smallman, L. and Artemiou, A. 2017. A study on imbalance support vector machine algorithms for sufficient dimension reduction. Communications in Statistics - Theory and Methods 46(6), pp. 2751-2763. (10.1080/03610926.2015.1048889)
- Challoumas, D., Artemiou, A. and Dimitrakakis, G. 2017. Dominant vs non-dominant shoulder morphology in volleyball players and associations with shoulder pain and spike speed. Journal of Sports Sciences 35(1), pp. 65-73. (10.1080/02640414.2016.1155730)
- Artemiou, A. and Dong, Y. 2016. Sufficient dimension reduction via principal Lq support vector machine. Electronic Journal of Statistics 10(1), pp. 783-805. (10.1214/16-ejs1122)
- Artemiou, A. and Tian, L. 2015. Using sliced inverse mean difference for sufficient dimension reduction. Statistics and Probability Letters 106, pp. 184-190. (10.1016/j.spl.2015.07.025)
- Drosou, K., Artemiou, A. and Koukouvinos, C. 2015. A comparative study for the use of large margin classifies on seismic data. Journal of Applied Statistics 42(1), pp. 180-201. (10.1080/02664763.2014.938619)
- Artemiou, A. 2014. Applications of sufficient dimension reduction algorithms on non-elliptical data. Journal of the Indian Society of Agricultural Statistics 68(2), pp. 273-283.
- Artemiou, A. and Li, B. 2013. Predictive power of principal components for single-index model and sufficient dimension reduction. Journal of Multivariate Analysis 119, pp. 176-184. (10.1016/j.jmva.2013.04.015)
- Srivastava, S. K., Artemiou, A. and Minerick, A. R. 2011. Direct current insulator-based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing. Electrophoresis 32(18), pp. 2530-2540. (10.1002/elps.201100089)
- Li, B., Artemiou, A. and Li, L. 2011. Principal support vector machines for linear and nonlinear sufficient dimension reduction. Annals of Statistics 39(6), pp. 3182-3210. (10.1214/11-AOS932)
- Artemiou, A. and Li, B. 2009. On principal components and regression: a statistical explanation of a natural phenomenon. Statistica Sinica 19, pp. 1557-1565.
- Artemiou, A. 2007. Hypothesis testing in frailty models for arbitrarily censored and truncated data. Communications in Dependability and Quality Management 10(1), pp. 110-121.
Book sections
- Artemiou, A. 2021. Using mutual information to measure the predictive power of principal components. In: Li, B. and Bura, E. eds. Festschrift to Dennis Cook. Springer
- Artemiou, A. and Shu, M. 2014. A cost based reweighted scheme of Principal Support Vector Machine. In: Akritas, M. G., Lahiri, S. N. and Politis, D. N. eds. Topics in Nonparametric Statistics. Springer Proceedings in Mathematics & Statistics Springer, (10.1007/978-1-4939-0569-0_1)
Conferences
- Spasic, I., Owen, D., Knight, D. and Artemiou, A. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019, Dublin, Ireland, 19 August 2019 Presented at Lynn, T. et al. eds.Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
Websites
- Burton, R. J. et al. 2023. Conventional and unconventional T cell responses contribute to the prediction of clinical outcome and causative bacterial pathogen in sepsis patients. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2023.09.13.23295490v1) Available at: https://www.medrxiv.org/content/10.1101/2023.09.13.23295490v1
Research
Research Interests:
- Supervised Dimension Reduction / Sufficient Dimension Reduction.
- Unsupervised Dimension reduction.
- Kernel methods
- Data and text mining / Support Vector Machines
- Statistical / Machine Learning
- Applications of Dimension reduction techniques in other Sciences
Current Students and Research Assistants:
- Hayley Randall, Ph.D., School of Mathematics, Cardiff University (Sep 2016- Dec 2020)
- Ben Jones, Ph.D., School of Mathematics, Cardiff University (Sep 2016- July 2022)
- Alya Alzahrani, Ph.D., School of Mathematics, Cardiff University (July 2019- Dec 2022)
- Matthew Hoare, M.Phil, School of Mathematics, Cardiff University (Sep 2021 - March 2023)
- (Co-advisor) Paul Robinson, Ph.D., Biosciences (Oct 2017 – part time)
- (Co-advisor) Ross Burton, Ph.D., Medical School (Oct 2018 – Sep 2021)
- Member of the supervisory committee for Mr. Kimon Ntotsis (Dept of Statistics, University of Aegean)
- Final year projects: Ben Thomas, Ifan Roberts (4th year projects) and Eleanor Crompton-Brown (3rd year project)
Former Students and Research Assistants:
- Ph.D. students:
- Luke Smallman, Ph.D., School of Mathematics, Cardiff University (Sep 2015 – Mar 2020)
- Timothy Vivian-Griffiths, Ph.D. School of Medicine (co-advisor), Cardiff University Sep 2013 – April 2017)
- M.Sc theses:
- Cardiff University (2014; Konstantinos Aggelakopoulos; 2016: James Buntwal; 2017: Ben Byrne, Haimo Li; 2019 Winnie Birech)
- Lipu Tian, M.S. Mathematical Sciences (Statistics), Michigan Technological University (Graduated, May 2012. Sc. project title: “A Simulation Study on Using Moment Functions for Sufficient Dimension Reduction”)
- Min Shu, Research Assistant, January 2012 – April 2012.
- Final year project (MMath/MMORS): Stephen Babos (2020), Stefan Andjelkovic (2016)
- Final year project (BSc): Nikolaos Chatzis, James Howson, Kirill Shvidler (2021), Charles Worsford (2020), Hector Haffenden (2019), Michalis Panayides (2018), Harry Chant (2018), Sarah Medland (2017), Michael Clayton-Rose (2017), Ben Byrne (2016), Laura Dimond (2016), Holly Tible (2015)
- Undergraduate Bursaries: Stephen Babos (CUROP 2018), Sophie Shapcott (CUROP 2017), Rishan Shan (funded by School of Mathematics 2015) , Alex Carney (School of Mathematics, 2014, 2015 jointly with Dr. Jennifer Morgan), Laura Dimond (School of Mathematics, 2014), Luke Smallman (London Mathematical Society, 2014)
- Undergraduate Summer Visitors: William Underwood (4 weeks in August 2017 from Oxford University)
Funding:
Current:
- Co-I in a DCMS Innovate UK proposal “CoCoRE: Connecting communities in rural economy” £588734 for Cardiff University (out of a total of £5000000). Starting date: 01/01/2020.
Former:
- PI on NSF DMS award 1207651 from 09/2012 to 08/2015 $110000 (Interrupted on 08/2013 due to the move to Cardiff University)
- PI on LMS Undergraduate Research Bursary award £1440 (Summer 2014)
- Jan 2018 – Dec 2018: Co-I on Cardiff University ISSF3 Collaboration: Cross Disciplinary Award £49,955 led by Dr. Matthias Eberl (School of Medicine).
- DIRI Seedcorn grant: £1420 to secure money for the visit of Dr. Eugen Pircalabelu to Cardiff in 2020/2021.
- CUROP (Cardiff University’s research opportunity program) –Awarded March 2018 to supervise an undergraduate student for 8 weeks in the summer of 2018 for £2100.
- CUROP (Cardiff University’s undergraduate research program) – co-PI Awarded April 2017 to run for 8 weeks in Summer of 2017 (with Dr. Dimitris Potoglou – School of Geography and Planning, Cardiff University) for £1600.
- Supervisor on four (4) School of Math undergraduate research Bursaries; £1360 each (2 in Summer 2014 and 2 in Summer 2015)
- Michigan Technological University, 2 years startup fund (2010): ~$69000.
- **Awarded but not used**: PI on a submitted proposal to LMS Undergraduate Research Bursary award £1440 to run in the Summer of 2018.
Teaching
I teach the following modules:
- MAT022 Foundations of Statistics for Data Analysis
(I have taught in the past MA1500 Introduction to Probability, MA2501 Programming and Statistics, MA0263 Introduction to Computational Statistics, MA2002 Matrix Algebra, MA3505 Multivariate Analysis)
I am supervising final year undergraduate student projects:
- In 2021/22 I am supervising 1 BSc project and 2 MMATH/MMORS projects.
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.
After graduating from my Ph.D. at Penn State University I moved to Michigan Technological University (MTU) where I spent 3 years as an Assistant Professor. In 2012/2013 I was on research leave in the Statistics and Applied Mathematical Sciences Institute in North Carolina as a New Researcher Fellow. Then in September 2013 I moved to Cardiff University as a Lecturer.
Honours and awards
- Eleneio Dissertation Award, Greek Statistical Institute (2011)
- Teaching Award, Department of Statistics, Pennsylvania State University, (2008)
Professional memberships
- Royal Statistical Society
- British Classification Society
- International Association of Statistical Computing
- Institute of Mathematical Statistics
- Greek Statistical Institute
Academic positions
- 08/2019 - present: Senior Lecturer, School of Mathematics, Cardiff University
- 09/2013 - 07/2019 Lecturer, School of Mathematics, Cardiff University
- 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
Committees and reviewing
- Reviewer for EPSRC grants
- Reviewer for a number of Statistical journals including; Annals of Statistics, JRSS, Biometrika, Journal of the American Statistical Association, Graphical and Computational Statistics, Statistica Sinica, Electronic Journal of Statistics, Computational Statistics and Data Analysis etc.
Supervisions
- Topics on Dimension Reduction
- Topics on Statistical/Machine Learning
- Topics on Kernel Methods