SUMMARY
•Expertise in uncertainty quantification, model calibration, model validation and design optimization using probabilistic and statistical methods
•Proficient in scientific computing: optimization, Bayesian statistical analysis, Bayesian networks, Markov Chain Monte Carlo methods, sensitivity analysis, response surface methods, reliability analysis
•Experienced in multi-disciplinary, multi-fidelity system analysis, fluid-structural interaction, heat transfer analysis and graphical user interface design
EDUCATION
Vanderbilt University Nashville, TN, USA
• PhD in Risk and Reliability Engineering expected 2015
• MS in Civil Engineering 2010 - 2012
Shanghai Jiao Tong University Shanghai, China
• BS in Engineering Mechanics 2006 - 2010
RESEARCH EXPERIENCE
Vanderbilt University Adviser: Dr. Sankaran Mahadevan
Multi-fidelity Model Prediction and Multi-Objective Optimization
•Model calibration and decision making in conceptual aircraft design
•Multi-fidelity model management for aero-elastic analysis
•Reliability-based multi-objective optimization under uncertainty Multidisciplinary Analysis under Uncertainty
•Inclusion of aleatory and epistemic uncertainty in coupled multi-disciplinary analysis
•Bayesian network and copula sampling for high-dimensional coupled problems Design Optimization under Uncertainty
•Design optimization including physical variability, data uncertainty and model errors
•Optimization of coupled multi-disciplinary systems under uncertainty
Shanghai Jiao Tong University Adviser: Dr. Guoping Cai
Active Vibration Control of a Flexible Truss Structure
•Active vibration control of a flexible truss using piezoelectric stack
•Real time control by developing efficient control algorithm and signal filter
•Vibration amplitude reduction by 60 % in experiment with DSP as controller
SKILLS
Proficiency in: MATLAB (GUI Design), ANSYS(APDL, Workbench), Python
Others: MS Office, ABAQUS, Labview, AutoCAD, Mathematica, C++, LATEX, HTML
SELECTED PUBLICATIONS
Journal articles
1.Rangavajhala, S., Liang, C., Mahadevan, S. and Hombal, V., Concurrent optimization of mesh refinementand design parameters in multidisciplinary design, Journal of Aircraft, Vol. 49, No. 6, 2012.
2.Liang, C. and Cai, G., Experimental Study of Active Control for a Trussed Structure,Chinese Quarterly of Mechanics, Vol. 31, No. 4, 2011.
3.Liang, C. and Mahadevan, S., Stochastic Multidisciplinary Analysis with High Dimensional Coupling,Under review.
4.Liang, C. and Mahadevan, S., Bayesian Sensitivity Analysis and Uncertainty Integration for RobustOptimization, Under review.
5.Liang, C. and Mahadevan, S., Stochastic Multi-Disciplinary Analysis under Epistemic Uncertainty, Under preparation.
6.Rangavajhala, S., Liang, C. and Mahadevan, S., Design Optimization Considering Physical Variability,Data Uncertainty and Model Errors, Under preparation.
Conference proceedings
1.Liang, C. and Mahadevan, S., Bayesian Framework for Multidisciplinary Uncertainty Quantification andOptimization, 16th AIAA Non-Deterministic Approaches Conference, National Harbor, Maryland, 2014.
2.Liang, C. and Mahadevan, S., Multidisciplinary Analysis and Optimization under Uncertainty, 11th International Conference on Structural Safety and Reliability, New York, New York, 2013.
3.Liang, C. and Mahadevan, S., Multidisciplinary Analysis under Uncertainty, 10th World Congress of Structural and Multidisciplinary Optimization, Orlando, Florida, 2013.
4.Liang, C. and Mahadevan, S., Design Optimization under Aleatory and Epistemic Uncertainty, 10th World Congress of Structural and Multidisciplinary Optimization, Orlando, Florida, 2013.
5.Liang, C. and Mah...
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