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.

Sandro Fiore, Ph.D., Associate Professor at the Department of Information Engineering and Computer Science (DISI) of the University of Trento where he leads the High Performance Climate Informatics Laboratory and lecturer at the School of Innovation (Trento). His research activity focuses on scientific data management, big data and AI applied to climate change in extreme-scale HPC & Cloud environments.

Since 2004, he has been involved into several national and EU projects working on scientific data management topics, including contributions at large-scale like in the EU EESI and the EXDCI exascale projects.

He is co-chair of the Data Task Force of the European Network for Earth System Modelling, UNITN representative in the Executive Board of ICDI and local director of the CINI HPC-KTT Lab. He is also member of the EGI Project Advisory Board and the CMIP7 Data Access Team. From 2020 to 2023 he has also been IS-ENES representative in the EGI Council.

He holds about 20 years experience on data management topics with a comprehensive knowledge on scientific computing, big data, HPC and data science.
He is author of more than 100 scientific papers, editor of the book “Grid and Cloud Database Management” and co-author of "The International Exascale Software Project roadmap". He is ACM and IEEE Member.

I am a second-year doctoral researcher at the University of Trento, Italy, under the supervision of Professors F. Vella and P. Rech at the Department of Information Engineering and Computer Science, and I am a member of the HiCrest research group in the same university.

I am enrolled in the Transdiciplinary Doctoral program in Quantum Science and Technologies in collaboration with the Department of Physics.

Before that, I studied at the Polytechnic University of Turin, Italy, first for a Bachelor’s and then for a Master’s Degree in Computer Engineering, which I achieved respectively in 2020 and 2022, as a member of the international student program.

My research interests include quantum computing simulation, both through statevector methods and tensor network contraction, fault reliability and quantum machine learning.

Paolo Rech received his master and Ph.D. degrees from Padova University, Padova, Italy, in 2006 and 2009, respectively.Since 2022 Paolo is an associate professor at Università di Trento, in Italy and since 2012 he is an associate professor at UFRGS in Brazil. He is the 2019 Rosen Scholar Fellow at the Los Alamos National Laboratory, he received the 2020 impact in society award from the Rutherford Appleton Laboratory, UK. In 2020 Paolo was awarded the Marie Curie Fellowship at Politecnico di Torino, in Italy. His main research interests include the evaluation and mitigation of radiation-induced effects in autonomous vehicles for automotive applications and space exploration, in large-scale HPC centers, and quantum computers.

Dr. Laura del Río, is an Assistant Professor in the Department of Computer Engineering at the University of Trento. She specializes in high-performance computing for large-scale computational science, with a focus on fluid dynamics and acoustics. Her research interests lie in leveraging parallel computing to accelerate simulations in multiphysics systems with complex geometries and millions of degrees of freedom, aimed at addressing challenges such as turbulence and multiphase flows.

Daniele De Sensi is a tenure-track Assistant Professor at the Department of Computer Science, Sapienza University of Rome. He was previously an ETH Fellow in the Scalable Parallel Computing Laboratory, ETH Zurich, and a postdoctoral researcher at the University of Pisa, where he received his Ph.D. in 2018.
He co-authored over 40 papers on high-performance networks for HPC systems and data centers, in-network computing, collective operations, parallel and distributed programming, and power-aware computing. He won the Best Reproducibility Advancement Award at SC22 and a Best Paper Honorable Mention at CCS22. He served, among others, on the Program Committee of SC, IPDPS, ICPP, HPDC, HiPC, Euro-Par, and PDP.

Marco Aldinucci is a full professor and P.I. of the Parallel Computing research group at the University of Torino. He received his PhD from the University of Pisa (2003), and he has been a researcher at the Italian National Research Council (CNR).
He authored over 120+ scientific articles. He is the recipient of the HPC Advisory Council University Award 2011, the NVidia Research award 2013, the IBM Faculty Award 2015, the Autodesk award 2021.
He is a research fellow at Links foundation. He has participated in over 15 EU-funded research projects on parallel and cloud and high-performance computing attracting over 10M€ of research funds to the University of Torino.
He has been the Italian delegate at the Governing Board of the EuroHPC Joint Undertaking (2018-2021).
He has led the design of the HPC4AI laboratory. He is the founding director of the CINI HPC Key Technologies and Tools national laboratory, gathering researchers from 38 Italian Universities. He is co-leading FureHPC, the technological spoke of the Italian National Centre on HPC (ICSC). He co-designed the FastFlow programming framework and several other libraries for parallel computing.

Valentina Di Noi graduated from the D.A.M.S in new media and obtained a Master's in Multimedia Design and Management for Communication at the University of Turin. He is currently a Technical Operator at CINI and collaborates with the Department of Computer Science of Turin in the role of graphic designer.

His interests are oriented in the following sectors: 3D graphics, Web Design and E-learning.