Christos Chatzis

Uncovering structure in high-dimensional and dynamic datasets.

Christos Chatzis

About Me

I am currently a PhD student at Simula Metropolitan Center for Digital Engineering (SimulaMet) studying matrix and tensor factorizations, specifically for temporal data.

My background is on computer science, specializing in data mining and scientific computing. I am especially intrigued by unsupervised machine learning due to its capacity to discover patterns that are not predefined and relationships we did not even know to look for.

Education

Present - Ph.D. in Engineering Science, Simula Metropolitan Center for Digital Engineering
2022 - M.Sc. in Computer Science, National and Kapodistrian University of Athens
2020 - B.Sc. in Informatics & Telecommunications, National and Kapodistrian University of Athens

Research Interests

Tensor factorizations Data Mining Unsupervised Learning Scientific Computing

Recent Publications

tPARAFAC2: tracking evolving patterns in (incomplete) temporal data

Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar

Data Mining and Knowledge Discovery, 2025

dCMF: Learning interpretable evolving patterns from temporal multiway data

Christos Chatzis, Carla Schenker, Jérémy E. Cohen, Evrim Acar

arXiv preprints, 2025

A Time-Aware Tensor Decomposition for Tracking Evolving Patterns

Christos Chatzis, Max Pfeffer, Pedro Lind, Evrim Acar

2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 2023

Recent News

Our work tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data is now published!

Our work dCMF: Learning interpretable evolving patterns from temporal multiway data is now published!

I presented at my talk Uncovering evolving patterns in temporal data with tensor decompositions at TRICAP (Three-way Methods in Chemistry and Psychology) 2025 workshop at Ålesund, Norway.