top of page
This site was designed with the
.com
website builder. Create your website today.Start Now

Welcome to the Risk Assessment and Mitigation (RAM) Lab

Evaluating risks and enhancing infrastructure resilience under different types of hazards pose a great challenge, especially considering the fact that infrastructure systems are now composed of interconnected systems/networks exposed to multiple hazards over their lifetime. Deterioration effects of the aging infrastructure systems as well as time-varying characteristics of environmental conditions and hazards (for example due to climate change) further increase the complexity of this problem. Uncertainty quantification/propagationplays an essential role for addressing this challenge as exposure to hazards and necessity to perform life-cycle analysis introduce significant sources of variability in our models for assessing performance/resilience. Unfortunately, reliance on traditional approaches for these tasks is being proven inadequate for tackling this challenge, forcing frequently modeling simplifications that do not faithfully capture the behaviors of interest.

h1.jpg
h2.jpg
h5.png
h6_2.jpg

To address these challenges, the RAM Lab at Colorado State University is developing generalized simulation-based approaches that can facilitate efficient risk assessment and mitigation for infrastructure system. The research in the RAM Lab leverages the versatility of generalized simulation-based approaches and the efficiency of soft computing and high performance computing to address challenges associated with solving complex engineering systems. The ultimate goal of the research is to deliver a powerful, versatile framework for risk assessment/mitigation that is applicable for a variety of hazards, can accommodate models with high degree of complexity, and can also provide enhanced decision support even for real-time applications.

​

Research areas in the RAM Lab include:

​

  • Stochastic optimization, uncertainty quantification, advanced stochastic simulation

  • Multi-fidelity approaches for fast and reliable uncertainty quantification, sensitivity analysis, and design under uncertainty for complex engineering systems

  • Surrogate modeling for efficient analysis and design of complex engineering systems

  • Deep generative models for stochastic sampling, sensitivity analysis, topology optimization

  • Machine learning for inverse design and statistical downscaling

  • (Real-time) Natural hazard risk assessment and mitigation

  • Life-cycle cost analysis and design of high performance engineering systems

  • Risk-informed decision making

  • Modeling of aging and deterioration of infrastructure systems

  • Bayesian approaches for model validation, condition assessment of critical infrastructure

  • Earthquake engineering, structural dynamics, seismic protective systems

  • Multi-hazard analysis

​

​

News Update

  • Dr. Min Li (alumni of RAM Lab) will start a tenure-track faculty position at Rensselaer Polytechnic Institute in September 2023. Congratulations!!

 

  • Dr. Jia has been promoted to Associate Professor, effective July 1st, 2023. Thanks to all the students who made this possible!

 

  • PhD student Leila Naderi is one of the three finalists in the ASCE EMI Probabilistic Methods Committee student paper competition at Georgia Tech, Atlanta, GA, June 6-9, 2023! Congrats!

​​

  • PhD student Leila Naderi presents her work on augmented sample based approach for multifidelity uncertainty quantification at the ASCE Engineering Mechanics Institute conference at Georgia Tech, Atlanta, GA, June 6-9, 2023!

​​

  • PhD student Suraj Khanal presents his work on using Graph Neural Network to predict the power of wave farms at the ASCE Engineering Mechanics Institute conference at Georgia Tech, Atlanta, GA, June 6-9, 2023!

​​

  • Wei-Hsiang Chen successfully defended his Master's thesis on March 8, 2023. Congratulations!

​​

  • Suraj Khanal joins the RAM Lab as a PhD student starting August, 2022. Welcome!

​

  • Leila Naderi joins the RAM Lab as a PhD student starting August, 2022. Welcome!​

​

  • Kenny Bui successfully defended his Master's thesis on August 4, 2022. Congratulations!

​​

  • Felicia Bianca joins the RAM Lab as a Master student starting May 2022. Welcome!

​​​

  • Akshat Chulahwat joins the RAM Lab as a Postdoc starting November 2021. Welcome!

​​

  • PhD Student Min Li successfully defended her dissertation on October 29, 2021. Congratulations Dr. Li!

​​

  • One new fully funded PhD student position is available in Fall 2022. If you are interested, please contact Dr. Jia at Gaofeng.Jia@colostate.edu (updated October 2021)

​

  • Wei-Hsiang Chen joins the RAM Lab as a Master student starting September 2021. Welcome!

​​

  • Kenny Bui joins the RAM Lab as a Master student starting August 2021. Welcome!

​​

  • PhD Student Zhenqiang Wang successfully defended his dissertation on June 25, 2021. Congratulations Dr. Wang!

​​

  • PhD Student Min Li successfully passed her PhD Prelim Exam on May 5, 2021 and now she is a PhD candidate. Congratulations!

​​

​

​

​

  • A new PhD student position is available in Fall 2021. If you are interested, please contact Dr. Jia at Gaofeng.Jia@colostate.edu (January 2021)

​​

  • Dr. Jia gave an invited webinar on September 20, 2020, titled "Enabling efficient uncertainty quantification for complex engineering systems: soft computing and simulation driven approaches" in 中国振动工程学会青年学者论坛-随机动力学与可靠度

​​

  • ​Min Li received the SEI Student Scholarship to attend the Structures Congress 2020, St. Louis, Missouri, April 5-8, 2020. Congratulations!

​​

  • Min Li attends the summer school on “Modeling and Numerical Methods for Uncertainty Quantification” (MNMUQ 2019), 2-6 September 2019 in Porquerolles Island, France.

​​

  • Dr. Jia gave a presentation on “Surrogate based sensitivity analysis of models with high-dimensional outputs.” at the ASCE Engineering Mechanics Institute Conference, June 18-21, 2019, CalTech, Pasadena, CA.

​

  • Dr. Jia gave a presentation on “Sample-based life-cycle analysis and optimization of deterioration engineering systems.” at the ASCE Engineering Mechanics Institute Conference, June 18-21, 2019, CalTech, Pasadena, CA.

​​

  • Dr. Jia gave a presentation on “Improved bridge deterioration prediction using Bayesian updating considering incomplete data.” at the ASCE Engineering Mechanics Institute Conference, June 18-21, 2019, CalTech, Pasadena, CA.

​​

  • PhD student Min Li presented her work on “Multi-fidelity Gaussian process model integrating low-fidelity data and high-fidelity data considering censoring.” at the ASCE Engineering Mechanics Institute Conference, June 18-21, 2019, CalTech, Pasadena, CA.

​​

  • PhD student Min Li presented her work on “Surrogate modeling for sensitivity analysis of models with high-dimensional outputs.” at The 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13) in Seoul National University, Seoul, South Korea, May 26-30, 2019.

​

  • Jeet Kumar Sonwani successfully defended his Master Thesis in March 2019. Congratulations!

​

  • Undergraduate student Michael Foster joins the group as Scott Faculty Research Experience for Spring 2019. Welcome!

​

  • Min Li presented her work on "Impact of New Levee Constructions on Variation of Peak Water Level in San Francisco Bay under Projected Sea Level Rise" at the annual CSU Graduate Student Showcase on November 13, 2018. Great job!

​

  • PhD student Zhenqiang Wang presented his work on “Sample-based approach for identification of critical links in seismic risk assessment of large-scale transportation networks.” at the ASCE Engineering Mechanics Institute Conference, May 29-June 1, 2018, M.I.T., Cambridge, MA. Great job!

​

  • Min Li joins RAM Lab as a Ph.D. student starting January 2018. Welcome!

​

  • Dr. Jia attends NSF NHERI Coastal Hazards Engineering New User Workshop, Oregon State University, July 19-20, 2017

​​

  • Dr. Jia attends ASCE ExCEEd Teaching workshop, Florida Gulf Coast University, Fort Myers, FL, June 18-23, 2017

​

  • Zhenqiang Wang joins RAM Lab as a Ph.D. student starting June 2017. Welcome!

​

  • Jeet Kumar Sonwani joins RAM Lab as a Master student starting February 2017. Welcome!

Photo Gallery

PXL_20231115_183711900_edited.jpg

Suraj Khanal, present at CSU GradShow, November 15, 2023, Fort Collins, CO.

bottom of page