- 2005-2010 Doctorate, Department of Engineering, University of Cambridge, UK.
- 2003-2005 MEng, Department of Civil Engineering, National University of Singapore, Singapore.
- 1999-2003 BEng, Department of Civil Engineering, Tianjin University, China.
- Joint postdoctoral researcher at (ICES), UT Austin and KAUST, since Nov. 2010.
- Marie Curie scientist at ABB Corporate Research, Switzerland, Sep. 2009- Feb. 2010.
Honors and Awards
- Marie Curie Fellow, EU, Sep. 2009 - Feb. 2010.
- Dorothy Hodgkin Postgraduate Awards, EPSRC, UK, 2005-2008.
- Research Scholarship, Singapore, 2003-2005.
Quan Long worked as a Research Scientist at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Quan obtained his Ph.D. degree in computational structural mechanics from CSMLab at Cambridge University, where his research focused on isogeometric analysis using subdivision techniques and its applications in large structural deformations, nematic elastomers, and dynamic fractures. During his postdoctoral research, he extended his interests from deterministic problems to stochastic problems, for example, Bayesian experimental design, sparse quadratures for stochastic PDEs and Bayesian model validation. His work on fast optimal experimental design focused on using Laplace approximation, sparse quadratures and multi-level methods to accelerate the computation of the information-theoretic utility function, the so-called expected information gain, for experiments associated with large scale PDEs. The new methodology can significantly improve computational efficiency, which is the major factor hindering the application of Bayesian optimal experimental design in engineering. He has applied the cost-efficient method to the design of current patterns in impedance tomography, the sensor placements for seismic source inversion, the design of optimal initial temperature and fuel concentration in combustion experiments, and the detectability of transverse cracks in laminated composites.
Quan's research interests included Uncertainty quantification, Bayesian experimental design, Model validation, Stochastic modeling for subsurface flow, NURBS, and subdivision based isogeometric analysis and Numerical methods for thin structures.
Journal Publications and Book Chapter:
- F. Bisetti, K. Daesang, O. Knio, Q. Long and R. Tempone. Optimal Bayesian experimental design for priors of compact support with application to shock-tube experiments for combustion kinetics. International Journal for Numerical Methods in Engineering. 2016; DOI:10.1002/nme.5211
- Q. Long, M. Motamed, R. Tempone. Fast Bayesian optimal experimental design for seismic source inversion. Computer Methods in Applied Mechanics and Engineering. 2015; 291:123-145.
- L. Selvakumaran, Q. Long, S. Prudhomme, and G. Lubineau. On the detectability of transverse cracks in laminated composites using electrical potential change measurements. Composite Structures. 2015; 121:237-246.
- Q. Long, M. Scavino, R. Tempone, and S. Wang. A Laplace method for under-determined Bayesian optimal experimental design. Computer Methods in Applied Mechanics and Engineering. 2015; 285: 849-876.
- F. Cirak, Q. Long, K. Bhattacharya, and M. Warner. Computational analysis of liquid crystalline elastomer membranes: changing Gaussian curvature without stretch energy. International Journal of Solids and Structures. 2014; 51(1): 144-153.
- Q. Long, M. Scavino, R. Tempone, and S. Wang. Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations. Computer Methods in Applied Mechanics and Engineering. 2013; 259:24-39.
- Q. Long and P. B. Bornemann and F. Cirak. Shear-flexible subdivision shells. International Journal for Numerical Methods in Engineering, 90(13), 1549:1577, 2012.
- F. Cirak and Q. Long. Subdivision shells with exact boundary control and non-manifold geometry. International Journal for Numerical Methods in Engineering, 88(9), 897:923, 2011.
- F. Cirak and Q. Long. Advances in subdivision finite element for thin shells. In New Trends in Thin Structures: Formulation, Optimization, and Coupled Problems, 1st Edition, CISM Courses and Lectures, Volume 519, Springer, New York, 2010.
- C. S. Hou, J. Li, and Q. Long. Cubic spline solutions of nonlinear bending and buckling of circular plates with variable thickness. Transactions of Tianjin University, 9(4), 321-325, 2003.
- Q. Long, M. Scavino, R. Tempone, and S. Wang. Fast evaluation of expected information gain for Bayesian experimental design based on Laplace approximation. 6th European Congress on Computational Methods in Applied Sciences and Engineering, Sep. 10-14, 2012, Vienna, Austria.
- Q. Long, S. Prudhomme, M. Scavino, R. Tempone, and S. Wang. Optimal design of model validation procedure with respect to the quantity of interest. Stochastic Modeling Techniques and Data Analysis International Conference, Jun. 5-8, 2012, Chania, Crete, Greece.
- Q. Long, S. Prudhomme, and R. Tempone. Information gain in the model validation for porous media. IMA Annual Program Year Workshop: Large-scale Inverse Problems and Quantification of Uncertainty, Jun. 6-10, 2011, Mineapolis, MN, USA.
- R. A. Kuche, Q. Long, F. Cirak, H. B. Coda. Immersed B-spline finite elements for complex domains. 10th US National Congress of Computational Mechanics, Jul. 16-19, 2009, Ohio, USA.
- R. A. Kuche, Q. Long and F. Cirak. Immersed B-spline finite elements for complex domains. 13th Mathematics of Finite Elements and Applications, Jun. 9-12, 2009, London, UK.
- Q. Long and F. Cirak. Subdivision shells for nonsmooth and branching geometries. 17th UK National Conference on Computational Mechanics in Engineering, Apr. 6-8, 2009, Nottingham, UK.
- Q. Long and F. Cirak, A unified discretization approach for shear-rigid and shear-deformable shells. 8th World Congress of Computational Mechanics, Jun. 30-Jul. 5, 2008, Venice, Italy. (Keynote Lecture)
- Q. Long and F. Cirak. Subdivision thin shell finite element on non-smooth geometry. The 6th International Conference on Computation of Shell and Spatial Structures, May 28-31, 2008, Ithaca, New York, USA.
- C. G. Koh, H. J. Goh, and Q. Long. Hybrid structural identification strategy suitable for distributed computing. The 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructures, Nov. 16-18, 2005, Shenzhen, China.
- C. G. Koh and Q. Long. A genetic algorithm-based strategy for parameter identification of large systems. The 17th KKCNN Symposium on Civil Engineering, Dec. 13-15, 2004, Thailand.