About
I am a postdoctoral researcher at Athena Research Center, working on algorithms and data structures for high-dimensional data.
My research is in high-dimensional computational geometry: randomized algorithms and data structures, similarity search, and time series analysis. Most of my work concerns nearest neighbor and clustering problems, and solutions that come with theoretical guarantees — complexity bounds, proofs of correctness, or both.
Until recently I was at Archimedes. Before that I worked at the Information Management Systems Institute, with Manolis Terrovitis, on the research project MORE: Management of Real-Time Energy Data. Prior to that I was a postdoctoral researcher at the University of Bonn with Prof. Anne Driemel, and an associate member of the Hausdorff Center for Mathematics. I obtained my PhD in 2019 from the National and Kapodistrian University of Athens under the supervision of Prof. Ioannis Z. Emiris.
Interests — high-dimensional geometry, randomized algorithms and data structures, similarity search, clustering, time series, Fréchet and dynamic time warping distances.
Publications
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2026
Time Series Decomposition using the Fréchet Distance
Anne Driemel, Jan Höckendorff, Ioannis Psarros, Christian Sohler
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2026
Near Linear Time Approximation Schemes for Clustering of Partially Doubling Metrics
Anne Driemel, Jan Höckendorff, Ioannis Psarros, Christian Sohler, Di Yue
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2026
Space-Efficient Approximate Spherical Range Counting in High Dimensions
Andreas Kalavas, Ioannis Psarros
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2025
Random Projections for Curves in High Dimensions
Ioannis Psarros, Dennis Rohde
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2025
Faster Approximation Algorithms for k-Center via Data Reduction
Arnold Filtser, Shaofeng H.-C. Jiang, Yi Li, Anurag Murty Naredla, Ioannis Psarros, Qiaoyuan Yang, Qin Zhang
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2025
A near-linear time approximation scheme for (k,ℓ)-median clustering under the discrete Fréchet distance
Anne Driemel, Jan Höckendorff, Ioannis Psarros, Christian Sohler
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2025
A Query-Driven Approach to Space-Efficient Range Searching
Dimitris Fotakis, Andreas Kalavas, Ioannis Psarros
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2024
Fast Approximations and Coresets for (k,ℓ)-Median Under Dynamic Time Warping
Jacobus Conradi, Benedikt Kolbe, Ioannis Psarros, Dennis Rohde
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2023
Near-neighbor preserving dimension reduction via coverings for doubling subsets of ℓ1
Ioannis Z. Emiris, Vasilis Margonis, Ioannis Psarros
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2023
Random Projections for Curves in High Dimensions
Ioannis Psarros, Dennis Rohde
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2023
A Tool for Visual Exploration and Analysis of Solar Photovoltaic Module Data
Vassilis Stamatopoulos, Stavros Maroulis, Konstantinos Kozanis, Ioannis Psarros, George Papastefanatos, Giorgos Giannopoulos, Manolis Terrovitis
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2023
Data-driven soiling detection in PV modules
Alexandros Kalimeris, Ioannis Psarros, Giorgos Giannopoulos, Manolis Terrovitis, George Papastefanatos, Gregory Kotsis
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2022
Tight Bounds for Approximate Near Neighbor Searching for Time Series under the Fréchet Distance
Karl Bringmann, Anne Driemel, André Nusser, Ioannis Psarros
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2022
Approximating Length-Restricted Means Under Dynamic Time Warping
Maike Buchin, Anne Driemel, Koen van Greevenbroek, Ioannis Psarros, Dennis Rohde
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2022
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data
S. Tirupathi, D. Salwala, G. Zizzo, A. Rawat, M. Purcell, S. K. Jensen, C. Thomsen, N. Ho, C. E. Muñiz-Cuza, J. Brusokas, T. B. Pedersen, G. Alexiou, G. Giannopoulos, P. Gidarakos, A. Kalimeris, S. Maroulis, G. Papastefanatos, I. Psarros, V. Stamatopoulos, M. Terrovitis
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2021
The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances
Anne Driemel, André Nusser, Jeff M. Phillips, Ioannis Psarros
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2021
ANN for Time Series Under the Fréchet Distance
Anne Driemel, Ioannis Psarros
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2020
High-Dimensional Approximate r-Nets
Zeta Avarikioti, Ioannis Z. Emiris, Loukas Kavouras, Ioannis Psarros
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2020
Products of Euclidean Metrics, Applied to Proximity Problems among Curves: Unified Treatment of Discrete Fréchet and Dynamic Time Warping Distances
Ioannis Z. Emiris, Ioannis Psarros
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2020
(2+ε)-ANN for time series under the Fréchet distance
Anne Driemel, Ioannis Psarros
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2019
Near-Neighbor Preserving Dimension Reduction for Doubling Subsets of ℓ1
Ioannis Z. Emiris, Vasilis Margonis, Ioannis Psarros
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2019
The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances
Anne Driemel, Jeff M. Phillips, Ioannis Psarros
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2019
Sublinear data structures for short Fréchet queries
Anne Driemel, Ioannis Psarros, Melanie Schmidt
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2019
Proximity problems for high-dimensional data
Ioannis Psarros — PhD thesis, National and Kapodistrian University of Athens (advisor: Ioannis Z. Emiris)
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2018
Randomized Embeddings with Slack and High-Dimensional Approximate Nearest Neighbor
Evangelos Anagnostopoulos, Ioannis Z. Emiris, Ioannis Psarros
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2018
Products of Euclidean Metrics and Applications to Proximity Questions among Curves
Ioannis Z. Emiris, Ioannis Psarros
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2017
High-dimensional approximate r-nets
Georgia Avarikioti, Ioannis Z. Emiris, Loukas Kavouras, Ioannis Psarros
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2016
Practical linear-space Approximate Near Neighbors in high dimension
Georgia Avarikioti, Ioannis Z. Emiris, Ioannis Psarros, Georgios Samaras
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2015
Low-Quality Dimension Reduction and High-Dimensional Approximate Nearest Neighbor
Evangelos Anagnostopoulos, Ioannis Z. Emiris, Ioannis Psarros
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2014
Counting Euclidean embeddings of rigid graphs
Ioannis Z. Emiris, Ioannis Psarros
A complete and continuously updated list is available on dblp.
Teaching
- Algorithms & Complexity — University of the Peloponnese · Fall 2026
- Teaching assistant — Geometric Data Analysis, Computational Geometry, Advanced Geometric Algorithms, Randomized Algorithms, Software Development for Algorithmic Problems · Univ. of Athens
- Co-supervision of several undergraduate and postgraduate dissertations
Service & research visits
Sub-reviewer for FOCS, SODA, SoCG, ESA, SWAT and LATIN, and for the journals TCS and JoCG.
- University of Illinois at Chicago, hosted by Anastasios Sidiropoulos — geometric data science, embedding properties of neural networks, nearest neighbor structures for asymmetric distances · Apr 2018 – Jun 2019
- Shapes AI, London — AI for 3D shapes: neural network methods for classification and retrieval · Dec 2017 – Mar 2018
- Sorbonne University, Paris, hosted by Elias Tsigaridas · May 2016
- Inria Nancy – Grand Est, advised by Xavier Goaoc and Guillaume Moroz — computer algebra for constant-size geometric problems · Apr – Jul 2013