I am a postdoctoral fellow at Università della Svizzera italiana (USI) in Lugano, Switzerland, working at the Institute of Computing (CI). The focus of my research is centered around algorithms for graph learning and combinatorial optimization for graph partitioning and anomaly detection. I completed my Phd at USI in February 2023, under the supervision of Olaf Schenk. Prior to that, I worked on fluid-structure interaction problems as part of my MSc thesis on Computational Science at USI, and studied Physics at the Aristotle University of Thessaloniki.
This is my cv (updated February 2024).
My work is supported by the joint German Research Foundation (DFG) - 470857344 and Swiss National Science Foundation (SNSF) - 204817 project Numerical Algorithms, Frameworks, and Scalable Technologies for Extreme-Scale Computing.
News
- 06/24: Our interview with Albert-Jan Yzelman at ACM PASC regarding high performance graph analytics is now available online.
- 06/24: The poster accompanying our article GAMLNet: a graph based framework for the detection of money laundering has received the Best Poster Award at IEEE SDS24.
- 03/24: Our article Sparse Precision Matrix Estimation With SQUIC is published in ACM Transactions on Mathematical Software.
- 03/24: We are organizing the minisymposia “Learning and Clustering Tasks on Graphical Structures” at SIAM LA 24 in Paris, and “High Performance Graph Analytics” at PASC 24 in Zürich.
- 11/23: I have been awarded a DDSA grant to visit the Department of Mathematical Science of Aalborg University.
- 09/23: Our article Nonlinear spectral clustering with C++ GraphBLAS has received the Outstanding Short Paper Award at IEEE HPEC.
- 04/23: Our article Sparse Quadratic Approximation for Graph Learning is published in IEEE Transactions on Pattern Analysis and Machine Intelligence.
- 04/23: The Swiss National Science Foundation (SNSF) project Balanced Graph Partition Refinement Using the Graph p-Laplacian that supported my Phd studies is now complete.
- 03/23: I have succesfully defended my Phd thesis entitled Learning and clustering graphs from high dimensional data.
- 07/22: Chairing the AP1B - ACM Papers Session 1B in PASC’22.
- 12/21: Our article Multiway p-spectral graph cuts on Grassmann manifolds was featured in the newsletter of the National Centre for High Performance Computing of the University of Erlangen (NHR@FAU).