| Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations Q Long, M Scavino, R Tempone, S Wang Computer Methods in Applied Mechanics and Engineering 259, 24-39, 2013 | 140 | 2013 |
| Subdivision shells with exact boundary control and non‐manifold geometry F Cirak, Q Long International Journal for Numerical Methods in Engineering 88 (9), 897-923, 2011 | 85 | 2011 |
| Shear‐flexible subdivision shells Q Long, P Burkhard Bornemann, F Cirak International Journal for Numerical Methods in Engineering 90 (13), 1549-1577, 2012 | 75 | 2012 |
| Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain JB Beck, BM Dia, LFR Espath, Q Long, R Tempone Computer Methods in Applied Mechanics and Engineering. Volume 334, 1 June …, 2018 | 65 | 2018 |
| Fast Bayesian optimal experimental design for seismic source inversion Q Long, M Motamed, R Tempone Computer Methods in Applied Mechanics and Engineering 291, 123-145, 2015 | 42 | 2015 |
| On the detectability of transverse cracks in laminated composites through electrical conductivity change L Selvakumaran, Q Long, S Prudhomme, G Lubineau Composite Structures 121, 237-246, 2015 | 40* | 2015 |
| Computational analysis of liquid crystalline elastomer membranes: Changing Gaussian curvature without stretch energy F Cirak, Q Long, K Bhattacharya, M Warner International Journal of Solids and Structures 51 (1), 144-153, 2014 | 34 | 2014 |
| A Laplace method for under-determined Bayesian optimal experimental design Q Long, M Scavino, R Tempone, S Wang Computer Methods in Applied Mechanics and Engineering 285, 849-876, 2015 | 33 | 2015 |
| Optimal Bayesian experimental design for priors of compact support with application to shock-tube experiments for combustion kinetics F Bisetti, D Kim, O Knio, Q Long, R Tempone International Journal for Numerical Methods in Engineering, DOI: 10.1002/nme …, 2016 | 26 | 2016 |
| Advances in subdivision finite elements for thin shells F Cirak, Q Long New Trends in Thin Structures: Formulation, Optimization and Coupled …, 2010 | 8 | 2010 |
| Multimodal information gain in Bayesian design of experiments Q Long Computational Statistics 37 (2), 865-885, 2022 | 5 | 2022 |
| Efficient propagation of uncertainties in manufacturing supply chains: Time buckets, L-leap, and multilevel Monte Carlo methods NY Chiang, Y Lin, Q Long Operations Research Perspectives 7, 100144, 2020 | 4 | 2020 |
| Quality-Driven Definition of Composite Materials and Structures Q Long, MR Gurvich, B LaBarre, N Phan, A Rahman 32nd Technical Conference of the American Society for Composites, October 23 …, 2017 | 1 | 2017 |
| A projection method for under determined optimal experimental designs Q Long, M Scavino, R Tempone, S Wang Informa UK Limited, 2014 | 1 | 2014 |
| System and method for analyzing engine test data in real time AD Nagendra Somanath, Justin R Urban, Michael J Giering, Quan Long US Patent US11248989B2, 2022 | | 2022 |
| Operations Research Perspectives S Sanni, Z Jovanoski, HS Sidhu, RDS Díaz, CD Paternina-Arboleda, ... Operations Research 7, 100133, 2020 | | 2020 |
| Operations Research Perspectives NY Chiang, Y Lin, Q Long Operations Research 7, 100144, 2020 | | 2020 |
| Scalable Inference for Rare Events: Computational Methods for Estimating Probability of Tail Events T Sahai, B Zhang, Y Marzouk, Q Long UNITED TECHNOLOGIES RESEARCH CENTER EAST HARTFORD CT EAST HARTFORD United States, 2019 | | 2019 |
| Efficient propagation of uncertainties in manufacturing supply chains: time buckets, L-leap and multilevel Monte Carlo NY Chiang, Y Lin, Q Long arXiv preprint arXiv:1808.07121, 2018 | | 2018 |
| Efficient Bayesian Optimal Experimental Design for Physical Models Q Long | | 2016 |
Raul TemponeProfessor of Applied Mathematics, Director - Center for Uncertainty Quantification, KAUSTVerified email at kaust.edu.sa
