Professor, Applied Mathematics and Computational Science, KAUST
David Keyes is a professor of Applied Mathematics, Computer Science, and Mechanical Engineering at KAUST, where he was a founding Dean in 2009, directed the Extreme Computing Research Center, and currently serves in the Office of the President. He is also an adjunct professor of Applied Mathematics and Applied Physics at Columbia University, where he formerly held the Fu Foundation Chair. He works at the interface between parallel computing and PDEs and statistics, with a focus on scalable algorithms that exploit data sparsity. Before joining KAUST, Keyes led multi-institutional scalable solver software projects in the SciDAC andASCI programs of the US Department of Energy (DoE), ran university collaboration programs atUS DoE and NASA institutes, and taught at Columbia, Old Dominion, and Yale Universities. He isa Fellow of SIAM, the AMS, and the AAAS. He has been awarded the Gordon Bell Prize from theACM, the Sidney Fernbach Award from the IEEE Computer Society, and the SIAM Prize for Distinguished Service to the Profession. He earned a B.S.E. in Aerospace and MechanicalSciences from Princeton in 1978 and a Ph.D. in Applied Mathematics from Harvard in 1984.
Assistant Professor | Head of Deep Imaging Group | PyLops core developer, KAUST
Matteo is an Assistant Professor at KAUST in the School of Earth Science and Engineering, member of the Extreme Computing Research Center, and co-Director of the DeepWave industry funded consortium. Prior to that, Matteo held a variety of roles in Equinor both within research and operations and has led the development of several open-source software products in the geophysical domain. He holds a Phd in Geophysics from the University of Edinburgh.
Matteo has made contributions in the areas of seismic processing, imaging, and inversion, he is the inventor of 2 international patents and author of 20+ peer reviewed papers. For his work, Matteo is the recipient of the SEG Karcher Award, EAGE Arie van Weelden award, RAS Keith Runcorn Prize, and Gustavo Sclocchi Theses Award.
Lead Software Architect and CTO, Devito Codes
Fabio has a Ph.D. in Computer Science from Imperial College London, specializing in compiler technologies for mathematical modeling software. His research focused on automated optimizations for finite element methods, notably within the open-source software Firedrake. As the lead software architect of Devito and the CTO of Devito Codes—the spin-off driving the Devito software ecosystem—Fabio brings over ten years of experience at the intersection of computer science, high-performance computing, and mathematical modeling.
Senior Geophysical Advisor, ENI
Nicola obtained his PhD in telecommunications engineering from Politecnico di Milano in 2000. In 2002 he joined Eni, and since then he has been mainly working on the development and application of seismic imaging technologies and their optimization for high performance computing systems. He is currently senior geophysical global advisor at Eni and he is also adjunct professor of seismic imaging at university of Pisa and university of Trieste.