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Athanasia Dimitriadou

Lecturer in Finance and Technology

Finance, Technology, Economic, Machine Learning, Artificial Intelligence, Predictions, Forecasting

Dr. Athanasia Dimitriadou, is an accomplished academic and researcher specializing in Economics, Banking, and Finance. She is a Lecturer in Finance and Technology at the University of Central Lancashire, Business School. She was awarded a Full Academic Scholarship in 2020 to pursue a Ph.D. in Banking and Finance at the University of Derby, College of Business, Law, and Social Sciences. Her doctoral thesis, titled 'The Influence of Exchange Rates News on US Banks' Profitability: A Panel Model Analysis,' reflects her expertise in conducting research experiments utilizing advanced methodologies in Machine Learning and Econometrics. She pursued and successfully obtained her Master's degree in Business Administration, with a focus on banking and finance, and a bachelor’s degree from Democritus more...

Ph.D. in Finance, University of Derby, College of Business, Law and Social Sciences, 2024 Master of Business Administration, Democritus University of Thrace, Department of Economics, 1018 Bachelor’s degree in economics, Democritus University of Thrace, Department of Economics, 2016

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  1. Dimitriadou, Athanasia orcid iconORCID: 0000-0002-8286-2426, Gogas, Periklis and Papadimitriou, Theophilos (2024) Tourism and uncertainty: a machine learning approach. Current Issues in Tourism . ISSN 1368-3500
  2. Dimitriadou, Athanasia orcid iconORCID: 0000-0002-8286-2426, Gogas, Periklis, Papadimitriou, Theophilos and Plakandaras, Vasilios (2018) Oil Market Efficiency under a Machine Learning Perspective. Forecasting, 1 (1). pp. 157-168. ISSN 2571-9394
  3. Michailidis, Panagiotis, Dimitriadou, Athanasia orcid iconORCID: 0000-0002-8286-2426, Papadimitriou, Theophilos and Gogas, Periklis (2022) Forecasting Hospital Readmissions with Machine Learning. Healthcare, 10 (6). p. 981.
  4. Dimitriadou, Athanasia orcid iconORCID: 0000-0002-8286-2426 and Gregoriou, Andros (2023) Predicting Bitcoin Prices Using Machine Learning. Entropy, 25 (5). p. 777.