معرفی
Antonis Matakos is a Postdoctoral Researcher in the Department of Computer Science at Aalto University, working in the group led by Adjunct Professor Aris Gionis. His research focuses on algorithms, social networks, and machine learning with an emphasis on topics like diversity maximization, matrix approximation, and randomized algorithms. He holds a Master's degree in Natural Sciences from the University of Ioannina (Panepistimio Ioanninon, awarded July 2017).
Research Interests: His work bridges theoretical algorithm design with practical applications in social network analysis. Key areas include:
- Algorithmic fairness and diversification in data selection
- Graph algorithms for network optimization and connectivity
- Randomized methods for large-scale data approximation
- Applications of linear algebra in machine learning and network science
Publications: His recent work explores topics such as multilinear Johnson-Lindenstrauss transforms (2025), fair column subset selection (2024), and leveraging matrix approximations for network analysis (2022). These contributions highlight a trend toward developing scalable, theoretically grounded solutions for modern data challenges.
Collaborations: Active in international research networks, he has collaborated on projects analyzing signed networks, polarization dynamics, and social media impact. His work has been recognized with over 60 citations and featured in venues like KDD and IEEE TKDE.
Labs/Teams: Currently part of the Gionis Research Group at Aalto, focusing on data science and network analysis.
