DSFD 2026

Speakers

Gonçalo Silva

University of Évora, Portugal

Expert in CFD and lattice Boltzmann methods.

Gonçalo Silva

University of Évora, Portugal

Goncalo Silva graduated in Mechanical Engineering from Instituto Superior Técnico (University of Lisbon) in 2006 and completed his PhD at the same institution in 2013. He later conducted postdoctoral research at INRA in Paris, France, focusing on the lattice Boltzmann method in collaboration with Dr. Irina Ginzburg. He is currently an Assistant Professor in the Department of Mechatronics Engineering at the University of Évora, where he contributes to the development of the Aerospace Engineering area. His scientific interests are primarily in the field of computational fluid dynamics (CFD), with particular emphasis on the lattice Boltzmann method (LBM). He applies this method to the study of microfluidic and rarefied gas flows relevant to biomedical, energy and aerospace applications. He also investigates LBM from a fundamental perspective, focusing on the analysis of numerical consistency, accuracy, and stability, as well as the development of alternative bulk- and boundary-related models.

Halim Kusumaatmaja

University of Edinburgh, UK

Specialist in fluid mechanics, soft matter and biophysics.

Halim Kusumaatmaja

University of Edinburgh, UK

Halim Kusumaatmaja is a Professor of Engineering and Applied Physics, currently holding the Jason Reese Chair of Multiscale Fluid Mechanics at the University of Edinburgh. He obtained his PhD in Theoretical Physics from the University of Oxford and subsequently held postdoctoral positions at the Max Planck Institute of Colloids and Interfaces and the University of Cambridge. Before joining the University of Edinburgh, he spent a significant part of his academic career at Durham University, where he served as Lecturer, Associate Professor, and later Full Professor. He currently maintains an affiliation as a visiting professor. His research is highly interdisciplinary, focusing on fluid mechanics, soft matter, and biophysics, with a strong emphasis on theoretical and computational approaches. He addresses topics such as fluid interfaces, wetting phenomena, droplet dynamics, functional surfaces, and complex biological systems. He has also contributed to the development and application of advanced computational methods, including the lattice Boltzmann method (LBM), to solve problems in physics and engineering.

Viswanathan Kumaran

Coastal Engineering Researcher

Expert in coastal and offshore structures.

Viswanathan Kumaran

Coastal Engineering Researcher

He is a Coastal Engineering researcher specializing in the analysis and design of complex coastal and port structures, including breakwaters, seawalls, and coastal protection systems. He holds a Doctor of Philosophy (Ph.D.) in Marine Structures, with strong expertise in computational fluid dynamics (CFD), wave–structure interaction, and mathematical modeling applied to a wide range of coastal and offshore structures. His current research focuses on the development of innovative breakwater concepts aimed at enhancing coastal resilience and promoting sustainable infrastructure solutions aligned with the blue economy and green energy initiatives, representing a forward-looking vision for the next generation of coastal engineering.

Seyed Ali Hosseini

ETH Zürich

Senior scientist in CFD, combustion and quantum computing.

Seyed Ali Hosseini

ETH Zürich

He is a Senior Scientist at ETH Zürich, working across a broad spectrum of topics ranging from fundamental mathematical developments to advanced engineering applications. His research includes discrete velocity kinetic models, with emphasis on the newly introduced concept of asymptotic freedom, as well as the modeling of non-ideal fluids in dense regimes and highly compressible flows. He has strong expertise in combustion simulation, having developed solvers for low-Mach number combustion that have been successfully applied to complex and realistic configurations such as the PRECCINSTA burner and combustion in porous media. His work also encompasses medical flow modeling, with particular focus on cerebral aneurysms and thrombosis kinematics, as well as the application of neural networks to simulations involving complex chemistry, aiming to reduce computational cost or enable reduced kinetic models. Additionally, he is active in quantum computing applied to CFD, focusing on the development of quantum algorithms for numerical simulation. His core competencies include fluid mechanics and thermodynamics, numerical methods for partial differential equations (PDEs), atomistic simulations, statistical and quantum mechanics, and high-performance computing (HPC). He aims to contribute to scientific advancement and innovation in energy and engineering, while fostering interdisciplinary collaboration between natural sciences and engineering.

Xuhui Li

Harbin Engineering University, China

Expert in CFD, lattice Boltzmann method, and GPU parallel computing.

Xuhui Li

Harbin Engineering University, China

Xuhui Li obtained his PhD from Kyushu University, Japan, in 2016. His doctoral research focused on GPU-accelerated lattice Boltzmann methods for complex free surface flows. His oral presentation on multi-GPU parallel computation received the Solid-state Drive Prize at DSFD2016. From November 2016 to October 2017, he conducted postdoctoral research at the Hydrodynamics Institute of École Centrale de Nantes, France, working on GPU porting of an adaptive mesh refinement (AMR) high-order finite volume solver (WCCH). From December 2017 to June 2020, he worked as a principal outstanding postdoctoral fellow under Prof. Xiaowen Shan at the Southern University of Science and Technology, China, focusing on high-order regularized lattice Boltzmann models. In 2020, he became an associate professor at Harbin Engineering University. His main research interests include computational fluid dynamics (CFD), covering the lattice Boltzmann method, finite volume method, and large-scale GPU parallel computing, with applications in wall turbulence, wakes, multiphase flows, and free surface flows.