{"id":5572,"date":"2023-05-03T00:42:01","date_gmt":"2023-05-02T21:42:01","guid":{"rendered":"https:\/\/www.uol.ac.cy\/?post_type=team&#038;p=5572"},"modified":"2025-11-04T16:55:31","modified_gmt":"2025-11-04T14:55:31","slug":"andreas-artemiou","status":"publish","type":"team","link":"https:\/\/www.uol.ac.cy\/el\/team\/andreas-artemiou\/","title":{"rendered":"\u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae\u03c2 \u0391\u03bd\u03b4\u03c1\u03ad\u03b1\u03c2 \u0391\u03c1\u03c4\u03b5\u03bc\u03af\u03bf\u03c5"},"content":{"rendered":"","protected":false},"featured_media":56396,"template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"class_list":["post-5572","team","type-team","status-publish","has-post-thumbnail","hentry"],"acf":[],"spectra_custom_meta":{"_last_editor_used_jetpack":["classic-editor"],"_edit_last":["17"],"position":["Professor"],"_position":["field_644b87311de79"],"expertise_info":["My expertise is on statistical methods for high-dimensional and massive datasets.\u00a0 I work on theoretical and computational issues of supervised and unsupervised dimension reduction, kernel methods and statistical\/machine learning.\u00a0 I have also an extensive network of collaborations in other sciences, including and not limited in Engineering, Computer Science, Medical Sciences, Pharmacy."],"_expertise_info":["field_644b87461de7a"],"short_bio_info":["Before joining UoL, I was a Reader in Statistics at the School of Mathematics at Cardiff University where I was also the Deputy Director of the Data Science Academy. I obtained my BSc in Mathematics and Statistics from the University of Cyprus (2005) and my MSc and PhD in Statistics from Pennsylvania State University (2008, 2010).\u00a0 I have worked as an Assistant Professor at Michigan Technological University (2010-2013), and as a Lecturer\/Senior Lecturer\/Reader at Cardiff University (2013-2023).\u00a0 \u00a0I have spent a year as a New Researcher Fellow in Statistics and Applied Mathematical Sciences Institute. I am an Associated Editor of the Computational Statistics and Data Analytics journal and a member of the Board of Directors of the European Section of the International Association of Statistical Computing."],"_short_bio_info":["field_644b87531de7b"],"publications_info":["<h5>\u00a0Published in Statistics and related Journals:<\/h5>\r\n<ul>\r\n \t<li>Joni Virta and Andreas Artemiou (accepted July 2024) <strong><em>\u201cStructure preserving non-linear PCA for matrices\u201d<\/em><\/strong>, IEEE Transactions in Signal Processing.<\/li>\r\n \t<li>Hector Haffenden and Andreas Artemiou (accepted June 2024) \u201c<strong><em>Using Sliced Inverse Mean Difference for sufficient dimension reduction in multivariate time series<\/em><\/strong>\u201d, Stat<\/li>\r\n \t<li>Amarjit Gaba and Andreas Artemiou (accepted April 2024) <strong>\u201c<em>Poisson inverse regression for sufficient dimension reduction in text data<\/em>\u201d<\/strong>, Statistics and Its Interface.<\/li>\r\n \t<li>Michalis Panayides and Andreas Artemiou (2024) <strong><em>\u201cLeast Squares Minimum Class Variance Support Vector Machines\u201d<\/em><\/strong>, Computers, 13 (2), 34<\/li>\r\n \t<li>Hyun Jung Jang, Seung Jun Shin and Andreas Artemiou (2023) \u201c<strong><em>Principal Weighted Least Square Support Vector Machine: An Online Dimension-Reduction Tool for Binary Classification<\/em><\/strong>\u201d, Computational Statistics and Data Analysis, 187,107818.<\/li>\r\n \t<li>Antonis Christou and Andreas Artemiou (2023) <strong><em>\u201cAdaptive L0 Regularization for sparse Support Vector Regression\u201d<\/em><\/strong>, Mathematics, 11 (13), 2808<u>.<\/u><\/li>\r\n \t<li>Joni Virta and Andreas Artemiou (2023).\u00a0<strong><em>\u201cPoisson PCA on matrix count data\u201d<\/em>.<\/strong>\u00a0Pattern Recognition,\u00a0131, 109401.<\/li>\r\n \t<li>Ross Burton, Simone Cuff, Matt Morgan, Andreas Artemiou and Matthias Eberl (accepted Nov 2022) \u201c<strong><em>GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data<\/em><\/strong>\u201d, Bioinformatics, 39 (1), btac751<\/li>\r\n \t<li>Luke Smallman and Andreas Artemiou (2022) \u201c<strong><em>A literature review of (sparse) exponential family PCA<\/em><\/strong>\u201d, Journal of Statistical Theory and Practice, 16, 14.<\/li>\r\n \t<li>Eugen Pircalabelu and Andreas Artemiou (2022) <em>\u201c<strong>High-dimensional sufficient dimension reduction through principal projections<\/strong><\/em><strong>\u201d<\/strong>, Electronic Journal of Statistics, 16, 1804-1830.<\/li>\r\n \t<li>Kimon Ntotsis, Alex Karagrigoriou and Andreas Artemiou (2021) \u201c<strong><em>Interdependency pattern recognition in Econometrics: A penalized regularization antidote<\/em><\/strong>\u201d, Econometrics, 9, 44<\/li>\r\n \t<li>Eugen Pircalabelu and Andreas Artemiou (2021) \u201c<strong><em>Graph informed sliced inverse regression<\/em><\/strong>\u201d, Computational Statistics and Data Analysis, 164, 107302.<\/li>\r\n \t<li>Eliana Christou, Annabel Settle and Andreas Artemiou (2021) <strong><em>\u201cNonlinear Dimension Reduction for Conditional Quantiles\u201d<\/em><\/strong>, Advances in Data Analysis and Classification, 15, 937-956.<\/li>\r\n \t<li>Hayley Randall, Andreas Artemiou and Xingye Qiao (2021) <strong><em>\u201cSufficient Dimension Reduction based on Distance-Weighted Discrimination\u201d<\/em><\/strong>, Scandinavian Journal of Statistics, 48, 1186-1211.<\/li>\r\n \t<li>Ben Jones and Andreas Artemiou (2021) <strong><em>\u201cRevisiting the predictive power of kernel principal components\u201d<\/em><\/strong>, Statistics and Probability Letters, 171, 109019.<\/li>\r\n \t<li>Andreas Artemiou, Yuexiao Dong and Seung-Jun Shin (2021). <strong><em>\u201cReal-time sufficient dimension reduction through principal least squares support vector machines\u201d<\/em><\/strong>, Pattern Recognition, 112, 107768.<\/li>\r\n \t<li>Stephen Babos and Andreas Artemiou (2021). <strong>\u201c<em>Cumulative Median Estimation for Sufficient Dimension Reduction\u201d<\/em><\/strong>, Stats (Special Issue: Robust Statistics in Action), 4, 138-145. <em>(<\/em><em>featured on front page)<\/em><\/li>\r\n \t<li>Andreas Artemiou (2021) <strong><em>\u201cUsing mutual information to measure the predictive potential of principal components\u201d<\/em><\/strong><em>,<\/em> In Festschrift in Honor of R. Dennis Cook by Springer. Fifty Years of Contribution to Statistical Science (edited by Efstathia Bura and Bing Li), Springer, 1-15.<\/li>\r\n \t<li>Stephen Babos and Andreas Artemiou (2020) \u201c<strong><em>Sliced Inverse Median Difference Regression<\/em><\/strong>\u201d, Statistical Methods and Applications, 29, 937-954 <em>(citations: 5)<\/em><\/li>\r\n \t<li>Luke Smallman, William Underwood and Andreas Artemiou (2020) <strong><em>\u201cSimple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination\u201d<\/em><\/strong>, Computational Statistics, 35, 559-577<\/li>\r\n \t<li>Ben Jones and Andreas Artemiou (2020) <strong><em>\u201cOn principal component regression with Hilbertian predictors\u201d<\/em><\/strong>, Annals of the Institute of Statistical Mathematics, 72, 627-644<\/li>\r\n \t<li>Ben Jones, Andreas Artemiou and Bing Li (2020) <strong>\u201cOn the predictive potential of kernel principal components\u201d<\/strong>, Electronic Journal of Statistics, 14, 1-23.<\/li>\r\n \t<li>Lowri Williams, Michael Arribas-Ayllon, Andreas Artemiou and Irena Spasic (2019). <strong><em>\u201cComparing the utility of different classification schemes for emotive language analysis\u201d<\/em><\/strong>, Journal of Classification, 36, 619-648.<\/li>\r\n \t<li>Andreas Artemiou (2019) <strong><em>\u201cCost-based reweighting for Principal LqSVM for sufficient dimension reduction\u201d<\/em><\/strong>, Journal of Mathematics and Statistics \u2013 Science Publications (Special Edition on Statistical Modelling with applications), 15, 218-224.<\/li>\r\n \t<li>Andreas Artemiou (2019). \u201c<strong><em>Using adaptively weighted large margin classifiers for robust sufficient dimension reduction\u201d, <\/em><\/strong>Statistics, 53, 1037-1051.<\/li>\r\n \t<li>Jennifer Morgan, Paul Harper, Vince Knight, Andreas Artemiou, Alex Carney and Andrew Nelson (2019) \u201c<strong><em>Determining patient outcomes from patient letters: A comparison of text analysis approaches<\/em><\/strong>\u201d, Journal of the OR Society, 70, 1425-1439.<\/li>\r\n \t<li>Luke Smallman, Andreas Artemiou and Jennifer Morgan (2018) <strong><em>\u201cSparse Generalised Principal Component Analysis\u201d<\/em><\/strong>, Pattern Recognition, 83, 443-455.<\/li>\r\n \t<li>Ahmad Alothman, Yuexiao Dong and Andreas Artemiou (2018) \u201c<strong><em>On dual model-free variable selection with two groups of variables<\/em><\/strong>\u201d, Journal of Multivariate Analysis, 167, 366-377.<\/li>\r\n \t<li>Seung-Jun Shin and Andreas Artemiou (2017)<em> \u201c<strong>Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction<\/strong>\u201d, <\/em>Computational Statistics and Data Analysis,111, 48-58<\/li>\r\n \t<li>Luke Smallman and Andreas Artemiou (2017) <strong><em>\u201cA Study on Imbalance Support Vector Machine Algorithms for Sufficient Dimension Reduction\u201d<\/em><\/strong>, Communications in Statistics, Theory and Methods, 46, 2751-2763.<\/li>\r\n \t<li>Andreas Artemiou and Yuexiao Dong (2016) \u201c<strong><em>Sufficient dimension reduction via principal Lq support vector machine<\/em><\/strong>\u201d, Electronic Journal of Statistics, 10, 783-805.<\/li>\r\n \t<li>Andreas Artemiou and Lipu Tian (2015) <strong><em>\u201cUsing Sliced Inverse Mean Difference for Sufficient Dimension Reduction\u201d<\/em><\/strong>, Statistics and Probability Letters, 106, 184-190.<\/li>\r\n \t<li>Krystalleni Drosou, Andreas Artemiou and Christos Koukouvinos (2015) \u201c<strong><em>A comparative study of the use of large margin classifiers on seismic data<\/em><\/strong>\u201d, Journal of Applied Statistics, 42, 180-201.<\/li>\r\n \t<li>Andreas Artemiou and Min Shu (2014) \u201c<strong><em>A Cost Based Reweighted scheme of Principal Support Vector Machine<\/em><\/strong>\u201d, Topics in Nonparametric Statistics, Springer Proceedings in Mathematics and Statistics, 74, 1-22.<\/li>\r\n \t<li>Andreas Artemiou (2014) \u201c<strong><em>Applications of Sufficient Dimension Reduction on non-elliptical data<\/em><\/strong>\u201d, Journal of the Indian Society of Agricultural Statistics, 68, 273-283 (Special issue on Statistical and Computational Methodologies on Massive Datasets)<\/li>\r\n \t<li>Andreas Artemiou and Bing Li (2013), \u201c<strong><em>Predictive power of principal components for single-index model and sufficient dimension reduction<\/em><\/strong>\u201d, Journal of Multivariate Analysis, 119, 176-184.<\/li>\r\n \t<li>Bing Li, Andreas Artemiou and Lexin Li (2011),<em> \u201c<strong>Principal support vector machine for linear and nonlinear sufficient dimension reduction<\/strong>\u201d, <\/em>Annals of Statistics, 39, 3182-3210<\/li>\r\n \t<li>Andreas Artemiou and Bing Li (2009), \u201c<strong><em>On principal components and regression: A statistical explanation of a natural phenomenon<\/em><\/strong>\u201d, Statistica Sinica, 19, 1557-1565.<\/li>\r\n \t<li>Filia Vonta and Andreas Artemiou (2007), \u201c<strong><em>Hypothesis testing in frailty models for arbitrary censored and truncated data<\/em><\/strong>\u201d, CDQM, 10(1): 110-121<\/li>\r\n<\/ul>\r\n<h5>\u00a0Published in Journals in other Sciences:<\/h5>\r\n<ul>\r\n \t<li>Mohammad Reza et al (accepted October 2024). <strong><em>\u201cExcess mortality and its determinants during the COVID-19 pandemic in 21 countries: An ecological study from the C- MOR project, 2020 and 2021\u201d<\/em><\/strong>. Journal of Epidemiology and Global Health<\/li>\r\n \t<li>Victoria Becks et al (accepted May 2024). \u201c<strong><em>Cause-specific excess mortality during the COVID-19 pandemic (2020-2021): An analysis in 12 countries of the C-MOR consortium<\/em><\/strong>\u201d. Journal of Epidemiology and Global Health.<\/li>\r\n \t<li>Ross Burton et al (accepted February 2024). \u201c<strong><em>Conventional and unconventional T-cell responses contribute to the prediction of clinical outcome and causative bacterial pathogen in sepsis patients\u201d<\/em><\/strong>. Clinical and Experimental Immunology<\/li>\r\n \t<li>Chryso Th. Pallari et al (accepted January 2024). <strong><em>Magnitude and determinants of excess total, age- and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID-19 pandemic from the C-MOR project<\/em><\/strong>. BMJ Global\u00a0 Health.<\/li>\r\n \t<li>Caitlin Kneebone-Hopkins, Andreas Artemiou, Christiana A. Demetriou (2022). <strong><em>Determinants of excess mortality during the COVID-19 pandemic in 18 countries of the CMOR consortium<\/em><\/strong>,\u00a0<em>European Journal of Public Health,<\/em> 32, Issue Supplement 3, ckac129.278.<\/li>\r\n \t<li>Kerry Guest, Thomas Whalley, Jean-Yves Mallard, Andreas Artemiou, Barbara Szomolay, Mark A Webber (2022) <strong><em>\u201cResponses of Salmonella biofilms to oxidising biocides: evidence of spatial clustering\u201d<\/em><\/strong>, Environmental Microbiology, 24 (12), 6426-6438.<\/li>\r\n \t<li>Mark J Ponsford, Ross J Burton,\u00a0 Leitchan Smith, Palwasha Khan, Robert Andrews, Simone Cuff, Laura Tan, Matthias Eberl, Ian R Humphreys, Farbod Babolhavaeji, Andreas Artemiou, Manish Pandey, Stephen Jolles and Jonathan Underwood (2022) \u201c<strong><em>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<\/em><\/strong>\u201d, Journal of Clinical Pathology, 75, (4), 255-262<\/li>\r\n \t<li>Ross Burton, Raya Ahmed, Simone M. Cuff, Sarah Baker, Andreas Artemiou, Matthias Eberl (2021) \u201c<strong><em>CytoPy: an autonomous cytometry analysis framework<\/em><\/strong>\u201d, PLOS Computational Biology, 17 (6), e1009071<\/li>\r\n \t<li>Irena Spasic, David Owen, Dawn Knight and Andreas Artemiou (2019) \u201c<strong><em>Unsupervised multi\u2013word term recognition in Welsh<\/em><\/strong>\u201d, In proceedings of the \u201cCeltic Language Technology Workshop\u201d CLTW2019, Dublin, Ireland, pages 1-6.<\/li>\r\n \t<li>Timothy Vivian-Griffiths, Emily Baker, Karl M Schmidt, Matthew Bracher-Smith, James Walters, Andreas Artemiou, Peter Holmans, Michael C. O\u2019Donovan, Michael J. Owen, Andrew Pocklington, Valentina Escott-Price (2019) <strong><em>\u201cPredictive modelling of Schizophrenia from genomic data: comparison of Polygenic Risk Score with Kernel Support Vector Machines approach\u201d,<\/em><\/strong> American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 180B, 80-85.<\/li>\r\n \t<li>Dimitris Challoumas and Andreas Artemiou (2018) <strong><em>\u201cPredictors of attack performance in high-level male volleyball players\u201d<\/em><\/strong>, International Journal of Sports Physiology and Performance, 13, 1230-1236.<\/li>\r\n \t<li>Dimitris Challoumas, Andreas Artemiou and Georgios Dimitrakakis (2017). <strong><em>\u201cDominant vs non-dominant shoulder morphology in volleyball players and associations in pathology and spike speed\u201d<\/em><\/strong>, Journal of Sports Sciences, 35, 65-73.<em> \u00a0<\/em><\/li>\r\n \t<li>Soumya K. Shrivastava, Andreas Artemiou and Adrienne R. Minerick (2011) \u201c<strong><em>DC insulator-based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing<\/em><\/strong>\u201d, Electrophoresis, 32, 2530-2540 <em>\u00a0<\/em><\/li>\r\n<\/ul>\r\n<h5>\u00a0Peer reviewed contributions to larger publications (books, encyclopedia etc):<\/h5>\r\n<ul>\r\n \t<li>Andreas Artemiou \u201c<strong><em>Regression Analysis<\/em><\/strong>\u201d Contributed Essay to <em>Encyclopedia on Social Network Analysis and Mining<\/em>, Editors: Reda Alhajj, Jon Rokne, Springer (2014 - reprinted 2016).<em>\u00a0 <\/em><\/li>\r\n<\/ul>\r\n<h5>\u00a0Published Datasets and Codes:<\/h5>\r\n<ul>\r\n \t<li>Panayides, M. and Artemiou, A. (2024). <strong>Dataset and code for\u00a0 \u201c<em>LSMCV-SVM comparisons with other SVMs\u201d.<\/em><\/strong> Zenodo. doi: 10.5281\/zenodo.10476188<\/li>\r\n \t<li>Pallari, C., Demetriou, C., Achilleos, S., Artemiou, A., and Rahmanian Haghighi, M. R. (2023). <strong>Dataset and code for \u201c<em>Magnitude and determinants of excess total, age- and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID-19 pandemic from the C-MOR project<\/em>\u201d<\/strong>. Zenodo. <a href=\"https:\/\/eur02.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.8414193&amp;data=05%7C02%7Cp.efstathiou%40uol.ac.cy%7Ccb4810baf634401adf2b08dd0f893864%7Cb5e1322f342e4a7ebb1e78d50e9fd700%7C0%7C0%7C638683804261715283%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=osA16mfyLahV1MnMyBEmzzxLjTVlW26gwLLYTaiv6oU%3D&amp;reserved=0\">https:\/\/doi.org\/10.5281\/zenodo.8414193<\/a><\/li>\r\n<\/ul>"],"_publications_info":["field_644b875d1de7c"],"email":["<a href=\"mailto:artemiou@uol.ac.cy\">artemiou@uol.ac.cy<\/a>"],"_email":["field_644b876d1de7d"],"address":["Nicosia Campus: 21 Glafkou Clerides Avenue, 2107 Aglantzia Nicosia, Cyprus"],"_address":["field_644b87741de7e"],"phone":["<a href=\"tel:22340383\">+357 22340383<\/a>"],"_phone":["field_644b877e1de7f"],"personal_website":["<a href=\"https:\/\/andreas.a.facultyresume.com\/\/\" target=\"_blank\">andreas.a.facultyresume.com<\/a>"],"_personal_website":["field_644b87861de80"],"_seopress_redirections_type":["301"],"_seopress_redirections_logged_status":["both"],"site-sidebar-layout":["default"],"site-content-layout":["default"],"theme-transparent-header-meta":["default"],"_edit_lock":["1762269163:17"],"projects":["<p data-pm-slice=\"1 1 []\">1. Support Vector Machine(SVM) based Dimension Reduction;<\/p>\r\n2. CytoPy: a python statistical tool\u00a0 for automated cell cytometry;\r\n\r\n3. Participant in EU cost action on text functional and other high dimensional data in econometrics (complex and text data) (<a href=\"https:\/\/www.cost.eu\/actions\/CA21163\/#tabs+Name:Working%20Groups%20and%20Membership\">https:\/\/www.cost.eu\/actions\/CA21163\/#tabs+Name:Working%20Groups%20and%20Membership<\/a>);\r\n\r\n4. Participant in the CMOR project which studies mortality during the COVID19 pandemic (<a class=\"ProsemirrorEditor-link\" href=\"https:\/\/www.unic.ac.cy\/coronavirus\/mortality\/\">https:\/\/www.unic.ac.cy\/coronavirus\/mortality\/<\/a>)."],"_projects":["field_6486c1332583a"],"_seopress_analysis_target_kw":[""],"_wpml_media_featured":["1"],"ast-site-content-layout":["default"],"site-content-style":["default"],"site-sidebar-style":["default"],"_eael_post_view_count":["6581"],"_trp_automatically_translated_slug_el":["andreas-artemiou"],"_trp_automatically_translated_slug_zh_CN":["\u5b89\u5fb7\u70c8\u4e9a\u65af-\u963f\u5c14\u6cf0\u7c73\u4e4c"],"classic-editor-remember":["classic-editor"],"_wp_page_template":["default"],"stick-header-meta":["default"],"google_scholar":["<a href=\"https:\/\/scholar.google.com\/citations?user=MxJYE7gAAAAJ&hl=en%20\" target=\"_blank\">Prof. Andreas Artemiou<\/a>"],"_google_scholar":["field_674de3257f07b"],"_thumbnail_id":["56396"],"position_en":["Professor"],"_position_en":["field_644b87311de79"],"gender":["male"],"_gender":["field_682c701939e3b"],"school_position":["Vice Rector for Academic Affairs and Quality Assurance \/ Dean of the Technology and Innovation School"],"_school_position":["field_6880279ed0146"],"school_department":["a:2:{i:0;s:38:\"Department of Information Technologies\";i:1;s:35:\"Department of Economics and Finance\";}"],"_school_department":["field_688027ddd0147"],"orcid":[""],"_orcid":["field_687e59feb81c8"],"astra-migrate-meta-layouts":["set"],"_uag_css_file_name":["uag-css-5572.css"],"_elementor_page_assets":["a:0:{}"],"_uag_page_assets":["a:9:{s:3:\"css\";s:263:\".uag-blocks-common-selector{z-index:var(--z-index-desktop) !important}@media (max-width: 976px){.uag-blocks-common-selector{z-index:var(--z-index-tablet) !important}}@media (max-width: 767px){.uag-blocks-common-selector{z-index:var(--z-index-mobile) !important}}\n\";s:2:\"js\";s:0:\"\";s:18:\"current_block_list\";a:1:{i:0;s:11:\"core\/search\";}s:8:\"uag_flag\";b:0;s:11:\"uag_version\";s:10:\"1775563736\";s:6:\"gfonts\";a:0:{}s:10:\"gfonts_url\";s:0:\"\";s:12:\"gfonts_files\";a:0:{}s:14:\"uag_faq_layout\";b:0;}"]},"uagb_featured_image_src":{"full":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31.png",512,512,false],"thumbnail":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31-150x150.png",150,150,true],"medium":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31-300x300.png",300,300,true],"medium_large":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31.png",512,512,false],"large":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31.png",512,512,false],"1536x1536":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31.png",512,512,false],"2048x2048":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31.png",512,512,false],"trp-custom-language-flag":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/04\/31-12x12.png",12,12,true]},"uagb_author_info":{"display_name":"Christos","author_link":"https:\/\/www.uol.ac.cy\/el\/author\/"},"uagb_comment_info":0,"uagb_excerpt":null,"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/team\/5572","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/team"}],"about":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/types\/team"}],"version-history":[{"count":0,"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/team\/5572\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/media\/56396"}],"wp:attachment":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/media?parent=5572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}