Dimosthenis Pasadakis

I am a researcher and lecturer at the Institute of Computing (CI) of Università della Svizzera italiana (USI). The focus of my research is centered around high-performance computing algorithms for graph learning and combinatorial and continuous optimization for graph clustering and anomaly detection.

My work is supported by the joint German Research Foundation (DFG) and Swiss National Science Foundation (SNSF) project "Numerical Algorithms, Frameworks, and Scalable Technologies for Extreme-Scale Computing".

In the private sector, I am the Chief Operating Officer (COO) of Panua Technologies Sagl, a company based in Lugano that creates customized high-end software solutions for large-scale prediction, simulation, optimization, and graph analytics.

Personal website: https://dmspas.github.io

Projects and grants

• 2026: Program for the Promotion of Early-Career Researchers, Swissuniversities. Travel grant.
• 01.2025 - 01.2026: Principal investigator, "Directed acyclic graph partitioning for scheduling tasks", Huawei Research Center Zürich. Research grant.

• 2023: Danish Data Science Academy (DDSA) Research visit grant number: 2023-1855.

The focus of my research is centered around the question “How can we accurately and efficiently estimate the graphical structure of high-dimensional data, and subsequently use it for exploratory data analysis tasks?” My work has addressed these problems by developing highly accurate large-scale algorithms for graph learning, and for the discovery of clusters, partitions, and anomalies on graphs. The introduced algorithmic solutions aim to bridge the gap between theoretical academic research and industrial software development.