Keynote Lectures

Bio coming soon.

Jack Dongarra specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced computer architectures, programming methodology, and tools for parallel computers. He holds appointments at the University of Manchester, Oak Ridge National Laboratory, and the University of Tennessee, where he founded the Innovative Computing Laboratory. In 2019 he received the ACM/SIAM Computational Science and Engineering Prize. In 2020 he received the IEEE-CS Computer Pioneer Award. He is a Fellow of the AAAS, ACM, IEEE, and SIAM; a foreign member of the British Royal Society and a member of the US National Academy of Engineering. Most recently, he received the 2021 ACM A.M. Turing Award for his pioneering contributions to numerical algorithms and software that have driven decades of extraordinary progress in computing performance and applications.

Dr Derek Groen is a Reader in Computer Science at Brunel University London, and a Visiting Lecturer at University College London. He has a PhD from the University of Amsterdam (2010) in Computational Astrophysics, and was a Post-Doctoral Researcher at UCL for five years prior to joining Brunel as Lecturer. Derek has a strong interest in high performance simulations, multiscale modelling and simulation, and so-called VVUQ (verification, validation and uncertainty quantification). In terms of applications he is a lead developer on the Flee migration modelling code and the Flu And Coronavirus Simulator (FACS) COVID-19 model. He has also previously worked on applications in astrophysics, materials and bloodflow. Derek has been PI for Brunel in two large and recent Horizon 2020 research projects (VECMA on uncertainty quantification, and HiDALGO on global challenge simulations) and he is currently the technical manager of the UK-funded SEAVEA project which develops a VVUQ toolkit for large-scale computing applications (seavea-project.org). His most recent publication (at time of writing) is a software paper about the FabSim3 research automation toolkit, which was selected as a Feature Paper for Computer Physics Communications.

Jakub Šístek focuses on mathematical algorithms for high performance computing, such as parallel solvers for numerical linear algebra, scalable domain decomposition methods, and applications to problems of structural mechanics and computational fluid dynamics. He is also interested in vortex identification and visualization in fluid flows. Jakub is the head of the Department of Constructive Methods of Mathematical Analysis at the Institute of Mathematics of the Czech Academy of Sciences and an assistant professor at the Department of Applied Mathematics of the Faculty of Information Technology of the Czech Technical University in Prague. Previously, he worked at universities in Denver, Cambridge, and Manchester. He received his Ph.D. in Mathematical and Physical Engineering from the Faculty of Mechanical Engineering of the Czech Technical University in 2008. Jakub is the recipient of the Ivo Babuška Prize (2009) and the Otto Wichterle Premium (2013).