BookWang Y., Tran A., and McDowell D.L. Fundamentals of Uncertainty Quantification for Engineers: Methods and Models. Elsevier, 2025. Wang Y. and McDowell D.L. (eds.) Uncertainty Quantification in Multiscale Materials Modeling. Elsevier, 2020.
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Reliable Multiscale SimulationTran A., Wildey T., Sun J., Liu D. and Wang Y. (2022) A stochastic reduced-order model for statistical microstructure descriptors evolution.
Journal of Computing and Information Science in Engineering, 22(6): 061005.
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Wang Y. and McDowell D.L. (2020) Uncertainty quantification in materials modeling. In Uncertainty Quantification in Multiscale Materials Modeling, Chapter 1, pp.1-40.
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Tran A.V., Liu D., Tran H., and Wang Y. (2019) Quantifying uncertainty in the process-structure relationship for Al-Cu solidification. Modelling and Simulation in Materials Science and Engineering, 27(6): 064005.
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Tallman A.E., Swiler L.P., Wang Y., and McDowell D.L. (2019) Hierarchical top-down bottom-up calibration with consideration for uncertainty and inter-scale discrepancy of Peierls stress of bcc Fe. Modelling and Simulation in Materials Science and Engineering, 27(6): 064004.
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Zhang B., Guo Q., Wang Y., and Zhan M. (2019) Model-form and parameter uncertainty quantification in structural vibration simulation using fractional derivatives. Journal of Computational and Nonlinear Dynamics, 14(5): 051006.
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Tallman A.E., Swiler L.P., Wang Y., and McDowell D.L. (2017) Reconciled top-down and bottom-up hierarchical multiscale calibration of bcc Fe crystal plasticity. International Journal for Multiscale Computational Engineering, 15(6): 505-523.
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Tran A.V. and Wang Y. (2017) Reliable molecular dynamics: Uncertainty quantification using interval analysis in molecular dynamics simulation. Computational Materials Science, 127: 141-160.
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Wang Y. (2016) "Model form calibration in drift-diffusion simulation using fractional derivatives," ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B, 2(3): 031006.
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Wang Y. (2014) "Stochastic dynamics simulation with generalized interval probability," International Journal of Computer Mathematics, (in press)
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Wang Y. (2013) "Reliable kinetic Monte Carlo simulation based on random set sampling," Soft Computing, 17(8): 1439-1451
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Wang Y. (2013) "Generalized Fokker-Planck Equation with Generalized Interval Probability,"
Mechanical Systems & Signal Processing, 37(1-2): 92-104
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Batarseh O.G., Nazzal D., and Wang Y. (2010) "An Interval-based Metamodeling Approach to Simulate Material Handling in Semiconductor Wafer Fabs,"
IEEE Transactions on Semiconductor Manufacturing, 23(4):527-537
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Conference Proceedings:Wang Y., "Uncertainty in materials modeling, simulation, and development for ICME," 2015 Materials Science & Technology (MS&T 2015), Oct. 4-8, 2015, Columbus, Ohio.
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Wang Y., "Quantification of model-form uncertainty in drift-diffusion simulation using fractional derivatives," 2015 ASME International Design
Engineering Technical Conferences & The Computer and Information in Engineering
Conference (IDETC/CIE 2015), Aug. 2-5, 2015, Boston, Massachusetts, Paper No.DETC2015-47677
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Tran A.V. and Wang Y. "A molecular dynamics simulation mechanism with imprecise interatomic potentials," The 3rd World Congress on Integrated Computational Materials Engineering (ICME’15), May 31-June 4, 2015, Colorado Spring, Colorada
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Wang Y., "Solving interval master equation in simulation of jump processes under uncertainties," 2013 ASME International Design
Engineering Technical Conferences & The Computer and Information in Engineering
Conference (IDETC2013), Aug. 4-7, 2013, Portland, Oregon, Paper No.DETC2013-12740
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Wang Y., McDowell D.L., Tallman A.E. "Cross-scale, cross-domain model validation based on generalized hidden Markov model and generalized interval Bayes’ rule," The 2nd World Congress on Integrated Computational Materials Engineering (ICME’13), July 7-11, 2013, Salt Lake City, Utah, pp.149-154
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Batarseh O.G. and Wang Y., "Reliable simulation with input uncertainties using an interval-based approach,"
Proceedings of
2008 Winter Simulation Conference, pp.344-352
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Theses:Tallman, A.E. (2018) "Hierarchical multiscale materials modeling: calibration, uncertainty quantification, and decision support", Ph.D. dissertation
Batarseh O.G. (2010) "An Interval based Approach to Model Input Uncertainty in Discrete-Event Simulation", Ph.D. dissertation
Scalable Gaussian Process and Bayesian OptimizationShu L., Jiang P., and Wang Y. (2021) "A multi-fidelity Bayesian optimization approach based on the expected further improvement.
Structural & Multidisciplinary Optimization, 63: 1709-1719.
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Shu L., Jiang P., Shao X., and Wang Y. (2020) "A new multi-objective Bayesian optimization formulation with the acquisition function for convergence and diversity.
Journal of Mechanical Design, 142(9): 091703.
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Tran A.V., Sun J., Furlan J.M., Pagalthivarthi K.V., Visintainer R.J., and Wang Y. (2019) "pBO-2GP-3B: A batch parallel known/unknown constrained Bayesian optimization with feasibility classification and its applications in computational fluid dynamics
Computer Methods in Applied Mechanics and Engineering, 347: 827-852.
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Tran A.V., Furlan J.M., Pagalthivarthi K.V., Visintainer R.J., Wildey J., and Wang Y. (2019) "WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes
Wear, 422–423: 9-26.
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Tran A.V., Tran M., and Wang Y. (2019) "Constrained mixed-integer Gaussian mixture Bayesian optimization and its applications in designing fractal and auxetic metamaterials
Structural and Multidisciplinary Optimization, 59(6): 2131–2154.
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Tran A.V., He L., and Wang Y. (2018) "An efficient first-principles saddle point searching method based on distributed kriging metamodels
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B, 4(1): 011006.
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Zhou Q., Wang Y., Choi S.-K., Jiang P., Shao X., Hu J., and Shu, L. (2018) "A robust optimization approach based on multi-fidelity metamodel
Structural and Multidisciplinary Optimization, 57(2): 775–797.
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Zhou Q., Wang Y., Choi S.-K., Jiang P., Shao X., Hu J. (2017) "A sequential multi-fidelity metamodeling approach for data regression
Knowledge-Based Systems, 134:199-212.
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Conference Proceedings:Tran A.,Eldred M., McCann S., and Wang Y. (2020) "srMO-BO-3GP: Asequential regularized multi- objective constrained Bayesian optimization for design applications," In Proc. of 2020 ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE2020), August 16-19, 2020, Paper No. DETC2020-22184. [Best Paper of CIE2020 Conference] Zhang J., Yao X., Liu M., and Wang Y. (2019) ""A Bayesian discrete optimization algorithm for permutation based combinatorial problems," In
Proc. of 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 874-881.
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Theses:Tran, A.V. (2018) "Multiscale uncertainty quantification for physics-based data-driven materials design and optimization", Ph.D. dissertation
Yoo, D.-Y. (2018) "
Simulation-Based Design of Lithium Ion Battery Configuration Using Bayesian Optimization
", M.S. thesis
Generalized Interval ProbabilityBatarseh O.G., and Wang Y. (2018) "An interval-based approach to model input uncertainty in M/M/1 simulation,"
International Journal of Approximate Reasoning, 95: 46-61
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Hu J., Wang Y., Cheng A., and Zhong Z. (2015) "An extended Kalman filtering mechanism based on generalized interval probability," ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B, 1(3): 031002.
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Xie F., Wu B., Hu Y., Wang Y., Jia G., and Cheng Y. (2014) "A generalized interval probability-based optimization method for training generalized hidden Markov model,"
Signal Processing, 94(1):319-329
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Wang Y. (2011) "Multiscale Uncertainty Quantification based on A Generalized Hidden Markov Model,"
ASME Journal of Mechanical Design, 133(3):031004(1-10)
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Wang Y. (2010) "Imprecise Probabilities based on Generalized Intervals for System Reliability Assessment,"
International Journal of Reliability & Safety, 4(4): 319-342
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Shevtshenko E. and Wang Y. (2009) "Decision Support under Uncertainties based on Robust Bayesian Networks in Reverse Logistics,"
International Journal of Computer Applications in Technology, 36(3/4): 247-258
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Conference Proceedings:Wang Y., "Training generalized hidden Markov model with interval probability parameters,"
Proceedings of
2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2014) and 6th International Symposium on Uncertainty Modeling and Analysis (ISUMA2014), July 13-16, 2014, Liverpool, UK, pp.876-886
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Wang Y., "Independence in Generalized Interval Probability,"
Proceedings of
2011 International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and International Symposium on Uncertainty Modeling and Analysis (ISUMA), April 11-13, 2011, Hyattsville, Maryland, pp.37-44
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Wang Y., "Multiscale Variability and Uncertainty Quantifications based on A Generalized Multiscale
Markov Model," 2010 ASME International Design
Engineering Technical Conferences & The Computer and Information in Engineering
Conference (IDETC2010), Aug. 15-18, 2010, Montreal, Quebec, Paper No.DETC2010-28790
Wang Y., "Imprecise Probabilities with a Generalized Interval Form,"
Proceedings of
International Workshop on Reliable Engineering Computing (REC'08), February 20-22, 2008
Georgia Institute of Technology, Savannah, GA, ed. by R.L. Muhanna and
R.L. Mullen
Theses:Blumer, J. D. (2015) "
Cross-Scale Model Validation with Aleatory and Epistemic Uncertainty
", M.S. thesis
Quantified Constraint Satisfaction ProblemHu J., Wang Y., Cheng A., and Zhong Z. (2015) "Sensitivity analysis for quantified interval constraints problems," Journal of Mechanical Design, 137(4): 041701.
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Hu, J., Aminzadeh, M., and Wang, Y. (2014) "Searching Feasible Design Space by Solving Quantified Constraint Satisfaction Problems," ASME Journal of Mechanical Design, 136(3): 031002
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Wang, Y., (2008) "Interpretable Interval Constraint Solvers in Semantic Tolerance Analysis,"
Computer-Aided Design & Applications, 5(5): 654-666
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Wang, Y. (2008) "Closed-Loop Analysis in Semantic Tolerance Modeling," ASME Journal of Mechanical Design, 130(6): 061701
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Wang, Y. (2008) "Semantic Tolerance Modeling with Generalized Intervals," ASME Journal of Mechanical Design, 130(8): 081701
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Wang, Y. (2007) "Semantic Tolerancing with Generalized Intervals," Computer-Aided Design &
Applications, 4(1-4): 257-266
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Wang, Y. and Nnaji, B.O. (2007) "Solving Interval Constraint by Linearization in Computer-Aided Design," Reliable Computing, 13(2): 211-244
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Conference Proceedings:Hu, J. and Wang, Y., "Sensitivity Analysis for Quantified Interval Constraints," Proceedings of The 11th International Conference on Structural Safety & Reliability, June 16-20, 2013, New York, NY, pp.2931-2938
Wang, Y., "Algebraic Interval Constraint Driven Exploration in Human-Agent Collaborative Problem Solving,"
Proceedings of
The 7th IEEE International Symposium on Computational Intelligence in Robotics and
Automation (CIRA2007), June 20-23, 2007, Jacksonville, Florida
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Wang, Y., "Semantic Tolerancing," Proceedings of Industrial Engineering Research
Conference (IERC'07), May 19-23, 2007, Nashville, Tennessee, Paper No. 667 [Best Paper Award of IERC'07 in Manufacturing & Design]
Wang, Y., "Semantic Tolerance Modeling based on Modal Interval Analysis,"
Proceedings of
NSF Workshop on Reliable Engineering Computing (REC'06), February 22-24, 2006
Georgia Institute of Technology, Savannah, GA, ed. by R.L. Muhanna and
R.L. Mullen, pp.293-318
Risk, Resilience, and Trust in Systems DesignWang, Y. (2021) "Probabilistic modeling of information dynamics in networked cyber-physical-social systems", IEEE Internet of Things Journal, (in press).
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Wang, Y. (2021) "Design of trustworthy cyber-physical-social systems with discrete Bayesian optimization", Journal of Mechanical Design, 143(7): 071702.
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Wang, Y. (2018) "Trust quantification for networked cyber-physical systems", IEEE Internet of Things Journal, 5(3): 2055 - 2070.
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Wang, Y. (2018) "Resilience quantification for probabilistic design of cyber-physical system networks", ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B, 4(3), 031006.
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Wang, Y. (2017) "On Social Value of Risk Information in Risk Communication", ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B, 3(4), 041009.
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Wang, Y. (2020) "Quantifying Trust Perception to Enable Design for Connectivity in Cyber-Physical-Social Systems", In: Emotional Engineering, (ed. by S. Fukuda) Vol. 8, Ch. 6, pp. 85-113.
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Cai M., Seligsohn E.N., Zhang Z., Wang Y. "Risk perception and product safety in user-centered design."
Proceedings of the ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2019), August 18-21, 2019, Anaheim, California.
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Wang Y. "Trustworthiness in designing cyber-physical systems."
Proceedings of The 12th International Symposium on Tools and Methods
of Competitive Engineering (TMCE2018), May 7-11, 2018, Las Palmas de Gran Canaria, Spain.
Wang Y. "System resilience quantification for probabilistic design of Internet-of-Things architecture." 2016 ASME International Design
Engineering Technical Conferences & The Computer and Information in Engineering
Conference (IDETC/CIE2016), Aug. 21-24, 2016, Charlotte, North Carolina, Paper No. DETC2016-59426
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Wang, Y., "On Rational Decision with Subjective Probability in Design"
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