SeRC PI

PositionCommunitiesMCPsProjects

Anders Ynnerman

ProfessorVisualizationVisual Data Analytics in e-Science ApplicationsVisualization: Efficient Methods for Volumetric Illumination, Visualization: OpenSpace – A tool for Space Research and Communication, Visualization: Interactive 3D Histology Visualization for Pathology, Visualization: Multi-scale visualization of binding processes related to conformational changes of proteins for Alzheimer’s disease research, Visualization: Uncertainty Visualization, Visualization: Clinically Applied Multivariate Volume Rendering, Visualization: A Signal Processing Approach to Direct Volume Rendering, Visualization: Methods for High-Quality Illumination in Interactive Volume Rendering, Visualization: POrtable Diary Data Collector

Anna Delin

ProfessorElectronic StructureData-driven computational materials designElectronic: Spin molecular electronics, Electronic: Thermoelectric materials, Electronic: Method development for calculation of transport and magnetic properties

Annica Ekman

Associate ProfessorClimate ModelingSeRC Data Science

Arne Elofsson

ProfessorBioinformaticsSeRC Data ScienceBioinformatics: Using predictions to improve predictions of membrane proteins, Bioinformatics: Deep learning in protein structure predictions

Arvind Kumar

Assistant ProfessorBrain-IT

Berk Hess

Associate Professor, Molecular Simulation Community CoordinatorMolecular SimulationSeRC Exascale Simulation Software Initiative - SESSISessi MCP: Low-Overhead Thread-Parallelization Library, Sessi MCP: Code optimization for on-node performance: SIMD and LIBXSMM for small dense matrix-matrix multiplications, streaming stores for optimizing cache to memory operations, Sessi MCP: Algorithms for molecular dynamics on heterogeneous architectures, Sessi MCP: Assembly level vectorization of compute intensive kernels in Nek5000, Molecular: Algorithms for molecular dynamics on heterogeneous architectures, Molecular: Efficient free energy calculations for biomolecular applications, Molecular: Molecular processes at the three-phase contact line, Molecular: Parallel sampling of functional motions in proteins, Molecular: Spectrally accurate fast Ewald summation, Numerical Analysis: Spectrally accurate fast Ewald summation

Björn Wallner

Associate Professor in BioinformaticsBioinformaticsSeRC Data ScienceBioinformatics: Using machine learning potentials in conformational sampling and selection of protein structures

Claes Lundström

PhD, SectraVisualizationSeRC Data ScienceVisualization: Interactive 3D Histology Visualization for Pathology, Visualization: Uncertainty Visualization, Visualization: Clinically Applied Multivariate Volume Rendering, Visualization: A Signal Processing Approach to Direct Volume Rendering

Dan Henningson

Professor, SeRC DirectorFLOWSeRC Exascale Simulation Software Initiative - SESSIFLOW: Spectral-element simulations of turbulent separation, FLOW: WALLPART - Inertial Particles in developing wall turbulence, FLOW: Tools for Visualisations with Simson, FLOW: Bifurcation and stability analysis of a jet in crossflow, FLOW: Studies of transition in Couette flow, FLOW: Adjoint-based linear and nonlinear optimisation in wall-bounded shear flow, Sessi MCP: Assembly level vectorization of compute intensive kernels in Nek5000, FLOW: Numerical experiments in a virtual wind tunnel

Erik Lindahl

ProfessorMolecular SimulationSeRC Exascale Simulation Software Initiative - SESSISessi MCP: Assembly level vectorization of compute intensive kernels in Nek5000, Molecular: Markov state models for simulation, Molecular: Distributed computing simulation, Molecular: Efficient free energy calculations for biomolecular applications

Erwin Laure

Professor in Computer ScienceParallel Software and Data Engineering, PDCBrain-IT, SeRC Exascale Simulation Software Initiative - SESSIPSDE: ScalaLife, PSDE: PRACE, PSDE: EGI-Inspire, PSDE: Venus-C, PSDE: CRESTA, Sessi MCP: Overcoming I/O limitations on exascale architectures, PSDE: OpCoReS - Optimized Component Runtime System, MCP eCPC: eCPC WP2: Managing sensitive data in distributed environments

Gunilla Svensson

ProfessorClimate ModelingSeRC Data Science, SeRC Exascale Simulation Software Initiative - SESSIClimate: Ensemble single-column model system, Climate: Computational issues with interaction between the core and parameterized small-scale processes in climate models

Hedvig Kjellström

ProfessorParallel Software and Data Engineeringe-Science for Cancer Prevention and Control, SeRC Data Science

Igor Abrikosov

ProfessorElectronic StructureData-driven computational materials designElectronic: Ab initio simulation of strongly correlated materials: methods and applications, Electronic: Visualization tool for electronic structure calculations

Ingrid Hotz

Professor, Visualization Community CoordinatorVisualizationVisual Data Analytics in e-Science ApplicationsVisualization: Cardiovascular blood flow analysis, Visualization: Organic solar cells design, Visualization: FlowZoom: Feature-based, multi-resolution in-situ sampling of very large turbulence simulations

Jan Nordström

ProfessorFLOWSeRC Exascale Simulation Software Initiative - SESSI, SeRC Data ScienceFLOW: Constructing non-reflecting boundaries using multiple Penalty terms

Jeanette Hellgren-Kotaleski

Professor, Brain-IT Community CoordinatorBrain-ITMCP Brain-IT: Multiscale modeling using the MUSIC tool, MCP Brain-IT: Computational modeling of intracellular signaling cascades in the basal ganglia, MCP Brain-IT: Parameter estimation, uncertainty analysis and global sensitivity analysis of intracellular neuronal models, MCP Brain-IT: ’Embedding’ - Investigate activation of receptor induced cascades in the context of an active neuronal network

Jim Dowling

Associate ProfessorParallel Software and Data Engineeringe-Science for Cancer Prevention and ControlPSDE: Big Data Tools for Social Science, MCP eCPC: eCPC WP2: Managing sensitive data in distributed environments

Jonas Olofsson

Brain-IT

Juni Palmgren

Professore-Science for Cancer Prevention and ControlMCP eCPC: eCPC WP3: Cancer microsimulation

Keith Humphreys

Associate Professore-Science for Cancer Prevention and ControlMCP eCPC: eCPC WP5: Prediction and screening models

Lars Arvestad

Associate Professor, Bioinformatics Community CoordinatorBioinformaticsBrain-ITBioinformatics: Improved scaffolding for genome assembly, Bioinformatics: VMCMC: a graphical and statistical analysis tool for Markov chain Monte Carlo traces

Maria Larsson

Brain-IT

Mark Clements

Associate Professor, eCPC Flagship Coordinatore-Science for Cancer Prevention and ControlMCP eCPC: eCPC WP5: Prediction and screening models

Mathieu Linares

PhDElectronic StructureVisual Data Analytics in e-Science ApplicationsVisualization: Organic solar cells design, Electronic: QMMM in the complex TDDFT representation, Electronic: Morphology and electro-optical properties of materials in solar cell

Mats Wallin

ProfessorMolecular Simulation

Mattias Rantalainen

e-Science for Cancer Prevention and Control

Matts Karlsson

ProfessorFLOWVisualization: Assimilation of experimental and computational fluid dynamics, FLOW: Methods for Lagrangian particles in complex geometries

Ola Spjuth

PhDParallel Software and Data Engineeringe-Science for Cancer Prevention and ControlPSDE: Large scale data management using iRODS, PSDE: Integration of data from Swedish Biobanks and Quality Registries, MCP eCPC: eCPC WP2: Managing sensitive data in distributed environments, MCP eCPC: eCPC WP1: Platform and infrastructure development

Olivia Eriksson

PhD, SeRC Coordinator and ResearcherBrain-ITMCP Brain-IT: Computational modeling of intracellular signaling cascades in the basal ganglia, MCP Brain-IT: Parameter estimation, uncertainty analysis and global sensitivity analysis of intracellular neuronal models

Olof Runborg

Professor, Numerical Analysis Community CoordinatorNumerical AnalysisBrain-ITNumerical Analysis: Computational electromagnetics in complex environments, Numerical Analysis: Fast interface tracking, Numerical Analysis: Fast methods for high frequency wave propagation problems, Numerical Analysis: Gaussian beam approximations, FLOW and NA: Quadrature rules for boundary integral methods applied to Stokes flow, Climate: Computational issues with interaction between the core and parameterized small-scale processes in climate models, Numerical Analysis: Multiscale methods in fluid dynamics

Patrick Norman

ProfessorElectronic StructureData-driven computational materials designVisualization: Multi-scale visualization of binding processes related to conformational changes of proteins for Alzheimer’s disease research, Electronic: QMMM in the complex TDDFT representation

Pawel Herman

Brain-IT

Peter Fransson

ProfessorBrain-ITMCP Brain-IT: Comparative analysis (data/models) of the dynamics of networks

Philipp Schlatter

Associate Professor, FLOW Community CoordinatorFLOWSeRC Exascale Simulation Software Initiative - SESSIFLOW: Wall-bounded turbulence: Re-visit using numerical experiments, FLOW: Spectral-element simulations of turbulent separation, FLOW: WALLPART - Inertial Particles in developing wall turbulence, FLOW: Large-scale simulations of turbulent flows, including transition and separation, FLOW: Simulations of turbulent boundary layers with passive scalars, FLOW: Rotating channel flow at high Reynolds number, FLOW: DNS of high-Reynolds number turbulent pipe flow, FLOW: Tools for Visualisations with Simson, FLOW: Stratified wall-bounded flows, FLOW: Bifurcation and stability analysis of a jet in crossflow, FLOW: Studies of transition in Couette flow, FLOW: Particle-laden transitional flows; small and finite-size particles, FLOW: ASTRID - ”A STudy of Rotation In Developing boundary-layer flows": Direct numerical simulations, Sessi MCP: Parallel Implementation of the Setup of an Algebraic Multigrid Solver, Sessi MCP: Code optimization for on-node performance: SIMD and LIBXSMM for small dense matrix-matrix multiplications, streaming stores for optimizing cache to memory operations, Sessi MCP: Refactoring of Nek5000, Sessi MCP: Runtime Profiling and Automatisation of Projections, Sessi MCP: Overcoming I/O limitations on exascale architectures, Sessi MCP: OpenACC for Nek5000, Sessi MCP: Assembly level vectorization of compute intensive kernels in Nek5000, Visualization: FlowZoom: Feature-based, multi-resolution in-situ sampling of very large turbulence simulations, FLOW: Methods for Lagrangian particles in complex geometries, FLOW: Numerical experiments in a virtual wind tunnel

Rickard Armiento

Associate professor in Physical ModelingElectronic StructureData-driven computational materials design

Rodrigo Caballero

Professor, Climate Community CoordinatorClimate ModelingSeRC Data ScienceClimate: Ensemble single-column model system, Climate: Computational issues with interaction between the core and parameterized small-scale processes in climate models, Climate: Direct numerical simulation of cloud turbulence and its interaction with cloud drops

Stefano Markidis

Assistant Professor in High Performance ComputingParallel Software and Data EngineeringSeRC Exascale Simulation Software Initiative - SESSISessi MCP: An optimized FFT library for 3D real-valued small-size data, Sessi MCP: Low-Overhead Thread-Parallelization Library, Sessi MCP: Code optimization for on-node performance: SIMD and LIBXSMM for small dense matrix-matrix multiplications, streaming stores for optimizing cache to memory operations, Sessi MCP: Refactoring of Nek5000, Sessi MCP: Investigation of Communication Kernel in Nek5000

Tino Weinkauf

ProfessorVisualizationSeRC Data Science, Visual Data Analytics in e-Science Applications