Dr. Flavio Vella is an Assistant Professor at the Information Engineering Computer Science Department at the University of Trento, a member of the management board of the national HPC laboratory at the National Interuniversity Consortium for Informatics (CINI) and a Steering Committee Member of the spoke4 of the ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing Italy.

He co-leads the High-Performance Computing and Reliable Systems laboratory. His research interests spawn from parallel algorithms for emerging computing systems to systems for machine learning, logic programming, and quantum computing with a focus on irregular and sparse computation and large-scale graph analysis.

Dr. Vella received his Ph.D. degree in 2017 from Sapienza University of Rome, Italy. Before joining the University of Trento, he was an assistant professor at the University of Bozen, a Post-doctoral fellow at CNR Italy, and an academic guest at ETH Zurich. Dr Vella has gained industrial experience as Research Engineer at Dividiti (UK) and as an intern at NVIDIA (US).

He served the HPC community in different roles such as Artifact co-Chair of Principles and Practice of Parallel Programming and Computing Frontiers, workshop chair at IEEE eScience IEEE International Conference on eScience and social media chair at the IEEE International Parallel and distributed processing Symposium (IPDPS). He also is a PC member of many conferences including IPDPS and EuroPAR among others. He has also been a guest editor of the Parallel Computing Journal (PARCO).

Dr. Vella has a strong record of scholarly publications with over 30 papers in peer-reviewed international conferences and journals. He has received important awards, including the Best Paper Award at the ACM/IEEE Supercomputing Conference in 2022 (SC22) among Ph.D. Forum Poster Awards at IEEE International Parallel and Distributed Processing Symposium for the paper (IPDPS17). He also received an honourable mention as runners-up for the Meta Research Award, Network for AI (2022), and the Facebook AI System Hardware/Software Co-Design research awards (2019). He obtained the National Habilitation as Associate Professor in 2022.