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Dr. Athanasios Georgiadis

Assistant Professor (Statistics)
      
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Dr. Athanasios Georgiadis

Assistant Professor (Statistics)

 georgiaa@tcd.ie

 


I am an Assistant Professor in the School of Computer Science and Statistics of Trinity College of Dublin and the course Director of the Major in Mathematics with Minor in Statistics. I Studied with distinctions in Aristotle University of Thessaloniki, Greece and I obtained my PhD in 2011. Since then I have worked in 5 Universities in 4 Countries, as lecturer, postdoc and assistant professor. I have published over 30 peer-reviewed journal papers, in journals like Bernoulli, Applied and Computational Harmonic Analysis, Transactions of AMS, Journal of Nonparametric Statistics and Constructive Approximations. My main interest is in the development of function spaces in the areas of mathematical analysis and statistics. My main statistical interest is in exploring estimation of probability density functions and approximation of random fields. One of my main achievements is the estimation of probability density functions of random variables distributed on manifolds and more general metric spaces. In my recent works, (one published in Bernoulli- between the top journals in the area) my co-authors and I established estimators via kernels and wavelets on broad metric spaces, proving optimality and adaptivity, breaking the ground for future research. Recently we applied the above estimators in the field of Seismology. Currently, I'm expanding my research horizons in neural networks, artificial intelligence and business analytics. As a teacher, I have the experience of teaching in 5 different Universities, in all the types of audiences with respect to the size, age and background and I always receive excellent reports from my students. The biggest moment in my teaching career was in 2017 when I was awarded as the "Teacher of the year" in Aalborg University, Denmark. I have supervised more than 30 theses for graduate and undergraduate Students and currently I am supervising two PhD thesis (one externally funded by TikTok). I have been decisively involved in many other aspects of the Academic life, such us the organization of events like conferences, committees, teaching curriculum, exchange and more. Finally I have served the research community by refereeing more than 100 manuscripts for more than 25 journals and as a session chair in the research conferences on my fields of interest.
Details Date
Course director: Major in Mathematics with a Minor in Statistics 2022-
Anonymous Referee for 28 journals for more than 150 manuscripts. 2011-2023
Undergraduate Teaching and Learning Committee, TCD 2022-
UCAO-Joint honours coordinators 2022-
Organizing Committee for the event: TCD Symposium in Statistics 2023
Reviewer for AMS. Reviewer number: 74550. 2010-2023
Reviewer for Zbmath. Reviewer number: 14491. 2013-2023
Invited session organizer on the conference: "International Symposium in Non Parametric Statistics 2022". June 2022
Organizer of the conference: "Marie Curie International Fellows' talks in Aalborg". Department of Mathematical Sciences, Aalborg University, Denmark. 2017
Organizer of the daily conference: "A day with Analysis, Geometry and Statistics". Department of Mathematical Sciences, Aalborg University, Denmark. 2017
Founder and organizer of the departmental seminar in Department of Mathematical Sciences, Aalborg University, Denmark. 2016-2017
Language Skill Reading Skill Writing Skill Speaking
Danish Basic Basic Basic
English Fluent Fluent Fluent
Greek Fluent Fluent Fluent
Spanish Basic Basic Basic
Details Date From Date To
American mathematical society. Reviewer number: 74550
Zentralblatt math. Reviewer number: 14491
Athanasios G. Georgiadis, George Kyriazis, P. Petrushev, SPACES OF DISTRIBUTIONS ON PRODUCT METRIC SPACES ASSOCIATED WITH OPERATORS, Dissertationes Mathematicae, 2025, 1 - 102pp, Notes: [Book accepted in Dissertationes Mathematicae! It is available online in the preprint form in Arxiv], Book, ACCEPTED
Galatia Cleanthous, Athanasios G. Georgiadis, Adaptive Estimation of the L_2-Norm of a Probability Density and Related Topics II. Upper Bounds via the Oracle Approach, Annals of Statistics, 2025, p1-26 , Notes: [Accepted, Published Online], Journal Article, ACCEPTED
Galatia Cleanthous, Athanasios G. Georgiadis, Oleg V. Lepski, Adaptive Estimation of the L_2-Norm of a Probability Density and Related Topics I. Lower Bounds, Annals of Statistics, 2025, p1-21 , Notes: [Accepted, Appears Online], Journal Article, PUBLISHED
George Filippou, Athanasios G. Georgiadis, Ashish Kumar Jha, Unveiling digital dynamics: Do digital media investments impact organic branded searches?, Journal of Marketing Analytics, 2025, p1-13 , Notes: [Accepted Appears Online], Journal Article, ACCEPTED
A. Alegria, G. Cleanthous, A. G. Georgiadis, E. Porcu, P. White, Gaussian random fields on the product of spheres: theory and applications, Electronic Journal of Statistics, 18, (1), 2024, p1394 - 1435, Notes: [accepted], Journal Article, ACCEPTED
Galatia Cleanthous, Athanasios G. Georgiadis, Philip White, Pointwise density estimation on metric spaces and applications in seismology, Metrika, 2024, p1 - 30, Notes: [Accepted], Journal Article, ACCEPTED
George Filippou, Athanasios G. Georgiadis, Ashish Kumar Jha, Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases?, Marketing letters, (35), 2024, p59-71 , Notes: [I served as an author and the supervisor of my PhD Student, George Filippou. My first research in the field of Business Analytics], Journal Article, PUBLISHED
A. G. Georgiadis and G. Kyriazis, Duals of Besov spaces on metric spaces associated with operators, Constructive Approximations, 57, (2), 2023, p547 - 577, Notes: [Invited contribution], Journal Article, PUBLISHED
G. Cleanthous, A. G. Georgiadis and E. Porcu, Oracle inequalities and upper bounds for kernel density estimators on manifolds or more general metric spaces, Journal of nonparametric statistics, 34, (3), 2022, p734 - 775, Notes: [Published], Journal Article, PUBLISHED
G. Cleanthous and A. G. Georgiadis, Product $(\alpha_1,\alpha_2)$-modulation spaces, Science China Mathematics, 65, (8), 2022, p1599 - 1640, Journal Article, PUBLISHED
  

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Award Date
Teacher of the Year, School of Engineering and Science, Aalborg University, Denmark. 2017-2018
Award for excellent performance in diploma studies 2002-2006
Award for excellent performance in graduate studies 2006-2008
Performance Scholarship during every year of the undergraduate studies 2002-2006
Performance Scholarship during every year of the graduate studies 2006-2008
Funding for PhD thesis, from Onassis' Foundation, Greece. 2008-2011
Funding for graduate studies, from Onassis' Foundation, Greece 2006-2008
My primary interests center on Nonparametric and Spatial Statistics. Specifically, I am focused on the estimation of probability density functions in Euclidean spaces, spheres, balls, and general manifolds. Nonparametric estimation in this context necessitates the development of sophisticated mathematical tools, including smoothness spaces and wavelets, which is an aspect that particularly captivates my attention. One of my significant contributions in this field involves the estimation of the density of random variables distributed on general manifolds using kernels and wavelets. This work represents a generalization of some of the most prominent results in the field and has been published in the prestigious Bernoulli journal, known as one of the top statistical journals, and the Journal of Nonparametric Statistics, which is dedicated to this research area. In Spatial Statistics, my work centers on the behavior of random fields, encompassing aspects like regularity, continuity, simulations, and approximation. This research requires a deep theoretical foundation and holds of fundamental importance in the areas of Cosmology, Environmental Science and more. I have applied my theoretical developments and statistical expertise in various fields, including Seismology, Climatology, and, more recently, Business Analytics. I am continuously seeking to broaden my horizons and venture into new scientific domains. Presently, I am in initial discussions about the application of statistical methods in Neural Networks, with the expectation of making progress in this direction over the next few years. My future plans are twofold: to delve deeper into the areas I've mentioned, both in terms of establishing new theorems and applying my developments to practical scientific challenges. I plan to focus on (a) product spaces, (b) manifolds, and (c) graphs in my upcoming research. These plans have garnered the interest of established scientists, and we aim to collaborate on advancing these developments together.