Rongliang Chen (陈荣亮)

Rongliang Chen, PhD

Associate professor

Laboratory for Engineering and Scientific Computing,

Shenzhen Institutes of Advanced Technology,

Chinese Academy of Sciences.

Mail Address: 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, Guangdong (518055) P. R. China.

E-mail: rl.chen@siat.ac.cn

Phone: +86-755-86392312

Education

• Sep 2002 - Jun 2006, Hunan University, B.S. Degree in Mathematics and Applied Mathematics.
• Sep 2006 - Jul 2012, Hunan University, Ph.D. in Computational Mathematics, Dissertation: Parallel domain decomposition algorithms for shape optimization problems, Supervisor: Prof. Jinping Zeng and Prof. Xiao-Chuan Cai.
• Sep 2009 - Apr 2012, Dept. of Computer Science, University of Colorado at Boulder , Joint PhD, supported by China Scholarship Council and University of Colorado at Boulder , advisor: Prof. Xiao-Chuan Cai.

Funding/Honor

• Scalable Parallel Domain Decomposition Methods for Shape Optimization of Fluids, NSFC, 2015.01-2017.12, PI
• Parallel Algorithm and Software for Hemodynamics Simulation, SIAT Funding for Outstanding Young Researchers, 2015.01-2016.12, PI
• Highly Scalable Parallel Software Aerodynamic Simulations, National 863 Plan of China, 2015.01-2017.04, Co-PI
• Highly parallel algorithms for fluid-structure interaction problems and applications, NSFC-RGC funding, 2016.01-2019.12, Co-PI

Selected Presentations

• SIAM AN10: 2010 SIAM Annual Meeting, Pittsburgh, Pennsylvania, July 12-16, 2010. Poster title: Parallel Lagrange-Newton-Krylov-Schwarz algorithms for shape optimization of steady incompressible flows.
• DD20: The 20th International Conference on Domain Decomposition Methods, San Diego, California, February 7-11, 2011. Talk title: Parallel one-shot Lagrange-Newton- Krylov-Schwarz algorithms for shape optimization of steady incompressible flows.
• SIAM PP12: 2012 SIAM Conference on Parallel Processing for Scientific Computing, Hyatt Regency Savannah, Georgia, February 15-17, 2012. Talk title: Parallel two-Level Schwarz methods for shape optimization of steady incompressible flows.
• Copper-12 : 12th Copper Mountain Conference on Iterative Methods, Copper Mountain, Colorado, March 25-30, 2012. Talk title: A parallel two-grid domain decomposition method with a modified boundary layer interpolation for shape optimization problems.
• PDSEC-12: The 13th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, Shanghai, China, May 21-25, 2012. Talk title: Numerical design of an optimal bypass for a partially blocked artery.
• ICCP8 : The 8th International Conference on Computational Physics, Hong Kong, January 7-11, 2013. Talk title: A Parallel Monolithic Method for Direct Numerical Simulations of 3D Flows around Large Structures.
• ParCFD13 : Parallel Computational Fluid Dynamics Conference 2013, Changsha, China, May 20-24, 2013. Talk title: Simulating 3D Flows Passing Wind Turbine Rotor with a Fully Implicit Domain Decomposition Method on a Moving Domain.
• FEF 2015: The 18th International Conference on Finite Elements in Flow Problems, Taipei, March 16-18, 2015. Talk title: Parallel Simulating Flows Passing a Wind Turbine with a Fully Implicit Method on a Moving Domain.
• DD23: 23rd International Conference on Domain Decomposition Methods, ICC-Jeju, Korea, July 6–10, 2015. Talk title: Parallel Domain Decomposition method for Large Scale Image Denoising.
• IMACS20: 20th IMACS World Congress, Xiamen, China, December 10-14, 2016. Talk title: A scalable domain decomposition method for simulation of 3D complex flows.
• SIAM CSE2017: 2017 SIAM Conference on Computational Science and Engineering, Atlanta, USA, Feb 27-Mar 3, 2017. Talk title: Performance study of an implicit Navier-Stokes solver on a many-core machine.
• IP2018: Young Scholar Workshop on Inverse Problems,Imaging and PDEs, SUSTC, Shenzhen, China, Jan 13-14, 2018. Talk Title: Parallel Domain Decomposition Based Algorithm for Large-scale Image Denoising.
• Copper-2018: 15th Copper Mountain Conference on Iterative Methods, Copper Mountain, Colorado, USA, March 25-30, 2018. Talk Title: A block Gauss-Seidel/Jacobi preconditioner for heterogeneous many-core architecture.
• HPC2018: 2018 International Workshop on High Performance Numerical Methods for PDEs, Changchun, China, Aug. 18-19, 2018. Talk Title: Scalable parallel methods for patient-specific blood flow simulations.
• HPC-ASIA: HPC Asia 2019, Guangzhou, China, January 14-16, 2019. Talk Title: Scalable Parallel Methods for Patient-specific Blood Flow Simulations.

Interested Researchers

• Xiao-Chuan Cai (CU-Boulder, USA) CFD and Optimization
• Alfio Quarteroni (EPFL, Switzerland) CFD
• Tayfun E. Tezduyar (UT-Austin, USA) CFD
• Chao Yang (Institute of Software, ChineseAcademy of Sciences, China) Shallow water equations
• Feng-Nan Hwang (National Central University,Taiwan) CFD
• Andrew T. Barker (Louisiana State, USA) CFD, DG and Parallel Computing
• Gianluigi Rozza (EPFL, Lausanne, Switzerland) CFD and Optimization
• Andrew J. Wathen (University of Oxford, England) PDE-ConstrainedOptimization Problem
• Martin Stoll (Max Planck Institute, Germany) PDE-ConstrainedOptimization Problem
• Michael Hintermuller (Humboldt-Universitat zu Berlin, Germany) PDE-Constrained Optimization
• Karl Kunisch (University of Graz, Austria) Inverse problem and PDE-Constrained Optimization
• Omar Ghattas (UT-Austin, USA) CFD, Optimization and parallel computing
• George Biros (UT-Austin, USA) CFD, Optimization and parallel computing
• Volker Schulz (University of Trier, Germany) Shape Optimization
• Max Gunzburger (Florida State, USA) Fluid control theory
• Niels N. Sorensen (Technical University of Denmark, Danmark) Wind turbine simulations
• Igor Yanovsky (UCLA, USA), Image Processing, Inverse Problems, CFD.
• David W. Zingg (UTIAS, Canada), Aerodynamics Shape Design, CFD.
• Gunnar Martinsson (CU-Boulder, USA), Random Matrix Computation, Multiscale modeling.
• SeokKoo Kang (Hanyang University, South Korea), Free surface, Wind turbine.
• Charbel Farhat (Stanford, USA) CFD
• Thomas J. R. Hughes (UT-Austin, USA) CFD
• Antony Jameson (Stanford, USA) Aerodynamic Optimization
• Matthias Heinkenschloss (Rice, USA) PDE-Constrained Optimization
• Pekka Neittaanmaki (University of Jyvaskyla, Finland)Shape Optimizition Theory
• Alfio Borzi (University of Wurzburg, Germany) PDE-Contrained Optimization
• Mihai Anitescu (Argonne, USA) Numerical Optimization, Uncertainty Quantification
• Michele Benzi (Emory University, USA) PDE-Constrained Optimization
• Charles A. Taylor (Stanford, USA) CFD
• Paul F. Fischer (Argonne, USA) CFD
• Stefan Turek (TU Dortmund, Germany) CFD
• Marc Garbey (UH, USA) Parallel CFD
• Lian Shen (Johns Hopkins University, USA) DNS for free sureface flow
• Michael Griebel (Institut fur Numerische Simulation, University of Bonn,Germany) CFD
• Yuri Bazilevs (UCSD, USA), CFD, moving mesh, FSI, Wind Turbines simulations.
• Ming-Chen Hsu (UCSD, USA), CFD, moving mesh, FSI, Wind Turbines simulations.
• Eric de Sturler (Virginia Tech, USA), Recycling Krylov Subspaces methods and applications.
• Marian Nemec (NASA, USA), Aerodynamics Shape Design, CFD.
• Richard D Sandberg (University of Southampton, UK), DNS, CFD.

Interested Packages

• PETSc: A Portable, Extensible, Toolkit for Scientific Computation package.
• LibMesh: ThelibMeshlibrary provides a framework for thenumerical simulation of partial differential equations usingarbitrary unstructured discretizations on serial and parallelplatforms.
• FUN3D: The code’s to study existing algorithms and to develop new algorithms for unstructured grid fluid dynamic simulations
• FEATFLOW: A parallel 2D-3D code for the solution of incompressible nonstationary Navier-Stokes equations (TU-Dortmund, Germany)
• TecPlot: Visualization software for larger data sets makes it easier and faster to explore,analyze, and understand complex CFD simulation data.
• Netlib: Website include some Software for numerical analysis.
• hp-FEM: Open Source FEM Software.