Dimosthenis Pasadakis is a postdoctoral fellow and lecturer at Università della Svizzera Italiana (USI) in Lugano, Switzerland, where he is currently leading the project “Directed acyclic graph partitioning for scheduling tasks”. He holds a PhD from USI in Computational Science, and a BSc in Physics from the Aristotle University of Thessaloniki. The focus of his research is centered around algorithms for graph learning and combinatorial optimization for graph clustering and anomaly detection. In the private sector, he is the chief operating officer of Panua Technologies, a company developing customized high-end software solutions for large-scale applications. His work has received several distinctions, including a best paper award at Springer MedGU’22 and outstanding paper awards at IEEE HPEC in 2023 and 2024.