Dr Ioannis Kalogridis
- Lecturer in Statistics and Data Analytics (Statistics)
https://orcid.org/0000-0002-8581-6564Biography
My research lies at the intersection of functional data analysis, nonparametric statistics, and robust statistics, with a strong interest in all three areas.
Before joining the School of Mathematics and Statistics in February 2025, I was a postdoctoral researcher at KU Leuven, where I completed my PhD in 2020 under the supervision of Prof. Stefan Van Aelst.
Research interests
Functional data analysis, nonparametrics, robust statistics.
Research groups
Publications
2025
Kalogridis, Ioannis 
ORCID: https://orcid.org/0000-0002-8581-6564 and Nagy, Stanislav
(2025)
Robust functional regression with discretely sampled predictors.
Computational Statistics and Data Analysis,
(doi: 10.1016/j.csda.2025.108308)
(In Press)
Kalogridis, Ioannis ORCID: https://orcid.org/0000-0002-8581-6564 and Van Aelst, Stefan
(2025)
Resistant dispersion estimation for nonparametric regression.
TEST,
(doi: 10.1007/s11749-025-00974-w)
(Early Online Publication)
Kalogridis, Ioannis ORCID: https://orcid.org/0000-0002-8581-6564 and Van Aelst, Stefan
(2025)
Robust Penalized Splines for Location Estimation from Discretely Sampled Functional Data.
In: International Workshop on Functional and Operatorial Statistics (IWFOS 2025), Novara, Italy, 25-27 June 2025,
pp. 267-275.
ISBN 9783031923821
(doi: 10.1007/978-3-031-92383-8_33)
Articles
Kalogridis, Ioannis ORCID: https://orcid.org/0000-0002-8581-6564 and Nagy, Stanislav
(2025)
Robust functional regression with discretely sampled predictors.
Computational Statistics and Data Analysis,
(doi: 10.1016/j.csda.2025.108308)
(In Press)
Kalogridis, Ioannis ORCID: https://orcid.org/0000-0002-8581-6564 and Van Aelst, Stefan
(2025)
Resistant dispersion estimation for nonparametric regression.
TEST,
(doi: 10.1007/s11749-025-00974-w)
(Early Online Publication)
Conference Proceedings
Kalogridis, Ioannis ORCID: https://orcid.org/0000-0002-8581-6564 and Van Aelst, Stefan
(2025)
Robust Penalized Splines for Location Estimation from Discretely Sampled Functional Data.
In: International Workshop on Functional and Operatorial Statistics (IWFOS 2025), Novara, Italy, 25-27 June 2025,
pp. 267-275.
ISBN 9783031923821
(doi: 10.1007/978-3-031-92383-8_33)
Prior publications
Article
Ioannis Kalogridis (2024) Robust and adaptive functional logistic regression Computational Statistics & Data Analysis Crossref. (doi: 10.1016/j.csda.2023.107905)
Ioannis Kalogridis, Stefan Van Aelst (2024) Robust penalized spline estimation with difference penalties Econometrics and Statistics Crossref. (doi: 10.1016/j.ecosta.2021.07.005)
Ioannis Kalogridis, Gerda Claeskens, Stefan Van Aelst (2023) Robust and efficient estimation of nonparametric generalized linear models TEST Crossref. (doi: 10.1007/s11749-023-00866-x)
Ioannis Kalogridis, Stefan Van Aelst (2023) Robust optimal estimation of location from discretely sampled functional data Scandinavian Journal of Statistics Crossref. (doi: 10.1111/sjos.12586)
Ioannis Kalogridis (2023) Robust thin-plate splines for multivariate spatial smoothing Econometrics and Statistics Crossref. (doi: 10.1016/j.ecosta.2023.06.002)
Ioannis Kalogridis, Stefan Van Aelst (2023) Robust penalized estimators for functional linear regression Journal of Multivariate Analysis Crossref. (doi: 10.1016/j.jmva.2022.105104)
Ioannis Kalogridis (2022) Asymptotics for M-type smoothing splines with non-smooth objective functions TEST Crossref. (doi: 10.1007/s11749-021-00782-y)
Kalogridis, I., Van Aelst, S. (2021) M-type penalized splines with auxiliary scale estimation Journal of Statistical Planning and Inference Scopus - Elsevier. ISBN 03783758 (doi: 10.1016/j.jspi.2020.09.004)
Kalogridis, I., Van Aelst, S. (2019) Robust functional regression based on principal components Journal of Multivariate Analysis Scopus - Elsevier. ISBN 10957243 0047259X (doi: 10.1016/j.jmva.2019.04.003)
Teaching
This year (2025-2026) I am teaching:
1. Inference (Level H),
2. R-Programming (ODL).
I am also managing and supervising dissertations related to the MScs in Statistics and Data Analytics (Level 5).
Additional information
My website: https://ioanniskalogridis.github.io/
