Flavio Vella

• Ph.D. in Computer Science, Sapienza University of Rome, Italy, (2017). 
• MSc. in Computer Science at the University of Perugia, Italy (2013). 
• BSc in Computer Science at the University of Perugia, Italy (2007). 

Dr. Flavio Vella is a Tenure-Track Assistant Professor (RTD-B) 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 in Italy.

He co-leads the High-Performance Computing and Reliable Systems laboratory. His research interests span from parallel algorithms for emerging computing systems to systems for machine learning 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  a 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, SC 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) and Ph.D. Forum Poster Awards at IEEE International Parallel and Distributed Processing Symposium (IPDPS17). He also received an honourable mention as a runner-up for the Meta Research Award, Network for AI (2022), and the Facebook AI System Hardware/Software Co-Design Research Awards (2019)
 

Dr. Vella's research interests focus on High-Performance and Parallel Computing with an emphasis on parallel algorithm design for irregular applications

• 2022-2024 PhD committee member of the Doctorate Program in Information Engineering and Computer Science (2022, 2023, 2024). University of Trento.
• 2023-2024 PhD committee member of the Doctorate Program in Industrial Innovation (2023, 2024). University of Trento.
• 2023 Steering committee member of the Spoke 4, Earth and Climate of the Italian Research Center in HPC, Big Data and Quantum Computing. 
• 2022-to date, member of the European Network on High-performance Embedded Architecture and Compilation, HiPEAC. 
• 2021-to date, Management Board of the Laboratory of HPC at CINI. 
• 2019-2020 Research Associate, National Research Council of Italy (CNR). 
• 2019-2020 CINI working group in HPC Key Technologies and Tools, member. 
• 2013-to date, National Institute of Italy for Higher Mathematics (INdAM) member. 
• 2019-to date, GRIN (Gruppo nazionale dei professori e ricercatori in informatica), member. 
• 2013-to date, Special Interest Group on High-Performance Computing (SIGHPC) member. 

• 2022  Best Paper Award at the ACM/IEEE Supercomputing Conference in 2022 (SC22), “ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations."  
• 2017 Ph.D. Forum Poster Awards at IEEE International Parallel and Distributed Processing Symposium for the paper. Co-author. 
• 2011 Research Grant funded by Regione Umbria, POR UMBRIA FSE2007-2013 Italy. 
• 2008-2010 Scholarship, Italian Institute for Nuclear Physics.