CRR - Key Persons
Jasour, Z.Y., A.C. Reilly, G. Tonn, and C. Ferriera. (2022) "Roadway flooding as a bellwether for household retreat in rural, coastal regions vulnerable to sea-level rise." Climate Risk Management.
Meet Andrés, who enjoys how interdisciplinary reliability engineering can be.
Meet Austin, who understands the importance that a system's reliability has on its functionality.
Job Titles:
- Professor of Mechanical Engineering Professor of Applied Mathematics & Statistics, and Scientific Computation Program Director, Design Decision Support Lab
Meet Ciro whose research focuses on cybersecurity and how people in online communities are influenced.
Job Titles:
- Professor of Reliability Engineering Director, Advanced Cybersecurity Experience for Students
Dr. Allison Reilly elected to INFORMS Decision Analysis Society Council Dr. Reilly will serve a three-year term as a council-member.
M. Linnik and A. Christou, "Calculations of optical properties for Quartenary III-V semiconductor alloys in the transparent region and above" (PDF), Physica B, 318, pp 140-161 (2002). Abstract
Professor Aris Christou will be teaching Reliability Physics of Nanosysems (Nano-Reliability) this fall.
Dr. Eliot Rudnick-Cohen is awarded top student award for his contributions as a student.
Job Titles:
- Chairman
- Director, Center for Risk and Reliability
- Reliability and Risk Analysis. What Every Engineer
- Technical Chair
Dr. Modarres will be presenting at four seminars across October 2019
Dr. Mohammad Modarres served as the Technical Chair at PSA 2019 in Charleston, SC.
Dr. Modarres will act as the Program Chair at PSA 2019 this spring.
Gary Paradee, Eric Bailey and A. Christou, "Stress relaxation behavior and low cycle fatigue behavior of bulk SAC 305," J. Mater. Sci. Electron (2014) 25:4122-4128.
Job Titles:
- Director, Reliability Engineering Program Associate Director for Research, Center for Risk and Reliability
Meet Hamed, who found his passion for engineering from his Civil Engineer siblings.
Meet Joy, who finds that STEM has a lot of room for creativity and imagination.
Job Titles:
- Associate Professor of Mechanical Engineering
Stephen Thomas and Katrina M. Groth. Apr. 2023. "Toward a hybrid causal framework for autonomous vehicle safety analysis." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 237.2. pp. 367-388.
Austin D. Lewis and Katrina M. Groth. July 2022. "Metrics for evaluating the performance of complex engineering system health monitoring models." Reliability Engineering & System Safety, 223, 108473.
Ramin Moradi, Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres, and Katrina M. Groth. June 2022. "Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems." Reliability Engineering & System Safety, 222, 108433
Roohollah Heidary and Katrina M. Groth. July 2020. A hybrid model of internal pitting corrosion degradation under changing operational conditions for pipeline integrity management. Structural Health Monitoring 19 (4), pp. 1075-1091.
Katrina M. Groth and Ali Mosleh. A data-informed PIF hierarchy for model-based human reliability analysis. Reliability Engineering and System Safety, 108:154-174, December 2012.
Katrina M. Groth and Ali Mosleh. Deriving causal Bayesian networks from human reliability analysis data: A methodology and example model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 226:361-379, August 2012.
Dr. Groth was one of twelve faculty and staff from engineering schools across the U.S. who flew to San Diego, CA for the visit.
Katrina M. Groth is an Associate Professor of Mechanical Engineering and the Director of the Reliability Engineering program at the University of Maryland. Groth specializes in safety, risk, and reliability analysis of energy systems. She has an active portfolio of research, including developing of Quantitative Risk Assessment methods to provide insights into dominant failure causes in novel hydrogen technologies, investigating prognostics and health management (PHM) techniques to support reliability monitoring and diagnosis of complex systems, and creating reliability data collection frameworks and algorithms. Her work has influenced safety practices and codes and standards for hydrogen fueling stations, hydrogen storage and electrolyzers, fuel cell forklifts, gas pipelines, and nuclear power plants and more. Groth has published over 125 peer-reviewed papers and technical reports, holds 2 patents, and developed multiple software packages. She invented the DOE's HyRAM toolkit for hydrogen risk assessment, which is used by engineers worldwide to inform hydrogen safety, codes, and standards, including NFPA 2 and ISO 19880-1. Her work has been cited over 4,000 times and she has been recognized with numerous awards including an NSF CAREER award, a DOE Hydrogen Program R&D Award, and the David Okrent Award for Nuclear Safety
Prior to joining UMD, she served as Principal R&D Engineer at Sandia National Laboratories, where she led multiple projects in probabilistic risk assessment, human reliability analysis and hydrogen safety, codes, and standards. Groth developed HyRAM (hyram.sandia.gov), a risk assessment and consequence analysis framework for hydrogen infrastructure, designed to put the state-of-the-art in hydrogen safety science into the hands of codes and standards developers. HyRAM integrates analytical models, experimental data, historical data, simulations, and techniques from risk assessment, fire science, and fluid dynamics. HyRAM was a critical tool in enabling harmonization of requirements beween the United States and international safety standards for hydrogen fueling stations (NFPA 2 and ISO 19880-1) and continues to be used today in the development of safe hydrogen technologues.
Groth has published over 125 journal and conference papers, 30 archival technical reports, and multiple software packages, and holds 2 patents. Her work has received funding from the U.S. Department of Energy (DOE), the U.S. Nuclear Regulatory Commission (NRC), the U.S. Pipeline and Hazardous Materials Safety Administration (PHMSA), the National Science Foundation (NSF), the Electric Power Research Institute (EPRI), GTI Energy (formerly Gas Technology Institute), and national laboratories (including Sandia National Laboratories, the National Renewable Energy Laboratory, and Idaho National Laboratory), and private industry.
Groth is an active and engaged educator, and committed mentor for all of her students, and an advocate for women and minorities in engineering. Groth is also a trustee for the National Museum of Nuclear Science & History in Albuquerque, NM. She brings a combination of passion and deep real-world experience to her classes, and believes that risk assessment needs to be in every engineer's toolbox.
Education
Ph.D., Reliability Engineering, University of Maryland, 2009
M.S., Reliability Engineering, University of Maryland, 2008
B.S., Nuclear Engineering, University of Maryland, 2004
Honors and Awards
World's top 2% scientists (based on 2022-single-year citation) by the Elsevier (Stanford University) list, Oct. 2023
"Paper of Distinction" at in the ASME IDETC/CIE conference 2023 Design Automation Conference (DAC)
World's top 2% scientists (based on 2021-single-year citation) by the Elsevier (Stanford University) list, Nov. 2022
Early Career Distinguished Alumni, University of Maryland, A. James Clark School of Engineering, Sept. 2022, (Inaugural class of Early Career Distinguished Alumni Society inductees), recognizes 25 Clark School alumni 40 years old and younger who are "at the forefront of their respective fields and who have demonstrated excellence in leadership, innovation, entrepreneurship and service"
Participant, 2021 US Frontiers of Engineering Symposium, September 2021
NSF CAREER Award, U.S. National Science Foundation, 2021
David Okrent Award for Nuclear Safety, American Nuclear Society, 2021
Best Early Career Paper, International Symposium on Structural Health Monitoring and Nondestructive Testing Conference (SHM-NDT 2020), 2020
#4 most cited paper in the International Journal of Hydrogen Safety (and the #1 paper on hydrogen safety) of over 2900 papers published in IJHE in 2019
DOE Hydrogen and Fuel Cells Program R&D Award "for outstanding leadership and technical contribution to hydrogen safety and risk assessment" in Safety, Codes, and Standards, June, 2016
Sandia National Laboratories' Public Good Innovator Award for HyRAM 1.0, May 2016
Robert Schefer Memorial Best Paper Award,"HyRAM: A methodology and toolkit for Quantitative Risk Assessment of Hydrogen Systems," International Conference on Hydrogen Safety (ICHS), Tokyo, Japan, October, 2015
George Apostolakis Early Career Fellowship Award "in recognition of early career accomplishments and contributions to the field of Probabilistic Safety Assessment," International Association for Probabilistic Safety Assessment and Management (IAPSAM), Helsinki, Finland, 2012
Landis Young Member Engineering Achievement Award, American Nuclear Society, 2022 "in recognition of sustained technical excellence in nuclear safety, probabilistic risk assessment, and human reliability analysis"
Job Titles:
- Clark Distinguished Chair / Director of Industrial Artificial Intelligence Center
Meet Madison West, who has a special interest in renewable energy and hydrogen systems.
Meet Terry, an engineer with an interest in design, development, and maintenance planning.
Job Titles:
- Director, Center for Risk and Reliability
Job Titles:
- Research Institute, Switzerland
Job Titles:
- Student Merit Award at Society of Risk Analysis Annual Meeting
- Student Spotlight
Meet Ramin, who thinks of reliability engineering as a very unique and useful set of skills.
Ramin Moradi selected as the Graduate School's Outstanding Research Assistant Award for AY 2018-19
Meet Roohollah, who thinks of reliability engineers as "the doctors of engineering systems."
Shapour Azarm received his Ph.D. in Mechanical Engineering from the University of Michigan, Ann Arbor. He then joined the University of Maryland, College Park, where he is a Professor of Mechanical Engineering, and an Affiliate Professor of Applied Mathematics & Statistics, and Scientific Computation Program.
He is the Founding Director of the Design Decision Support Laboratory (DDSL). His research interest is centered around the general area of design optimization of engineered systems. His current research is on (i) predictive maintenance of unmanned systems using machine learning and optimization techniques, (ii) multi-objective robust optimization under uncertainty, (iii) surrogate (predictive) modeling and optimization of engineering systems with applications such as additive manufacturing and reliability-based optimization, and (iii) multi-vehicle routing optimization considering multiple recharging stations and vehicle failure.
His research program has been funded by various government agencies and industry, including AFOSR, AFRL, NASA, NAVAIR, NSF, NSWC, ONR, Abu Dhabi National Oil Company, Stanley Black & Decker, Northrop Grumman, and Lockheed Martin. Dr. Azarm has graduated 30 PhD and 21 MS students. His former students have been employed as a faculty member, scientist, and engineer in universities, government and industry in the United States and overseas, including at Cornell University, Johns Hopkins University, Naval Postgraduate School, Washington State University, American University, Seattle University, University of California San Diego, University of Maryland, University of Michigan-Shanghai Jiao Tong University Joint Institute, Air Force Research Lab, Amazon, Boeing, Facebook, Ford, General Motors, Goodman Manufacturing, Shell, and Stryker.
He is a Senior Advisor of (journal of) Structural and Multidisciplinary Optimization (SMO), was Editor-in-Chief of Journal of Mechanical Design (ASME Transactions), Review Editor of SMO, an Editorial Board Member of International Journal of Reliability and Safety, Associate Editor of (journal of) Mechanics-Based Design of Structures and Machines, Associate Editor of the Journal of Mechanical Design (ASME-JMD), a member of the Board of Editors of the ASME Transactions, and Guest Editor of the special issues of ASME-JMD on "Robust and Reliability Based Design", and "Designing Complex Engineered Systems".
He is currently serving as Vice-Chair of the ASME Technical Committee on Publications and Communications (TCPC). He served as Publication Chair of the ASME Design Engineering Division (DED), one of the largest divisions of the ASME, was an Operating Board Member of the ASME Systems and Design Group, one of the largest groups in ASME, member-at-large of the ASME Committee on Division Operations and Training, and a member and Chair of the ASME DED Advisory Committee, Past Chair of the ASME Design Automation Committee, Past Conference Chair and Paper Review Chair of the ASME Design Automation Conference.
He has received numerous awards, including the Procter & Gamble paper awards, ASME/Ford Best Paper Award, ASME Design Automation Award, ASME Robert E. Abbott Award, and most recently the ASME Machine Design Award.
Dr. Azarm is a Fellow and Life Member of the ASME.
Hazra, I., A. Chatterjee, J., Southgate, M.J. Weiner, K. Groth, and S. Azarm, 2023, "A Reliability-based Optimization Framework for Planning Operational Profiles for Unmanned Systems," Paper No. DETC2023-116586, V03AT03A047, Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering (IDETC-CIE) Conference, August 20-23, 2023, Boston MA, 12 pages. [Designated as one of top 10 "Papers of Distinction," (out of 126 accepted papers) in the 49 th ASME Design Automation Conference (2023).
Aria, A., E. L. Droguett, S. Azarm, and M. Modarres. "Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion." Structural Health Monitoring 19, no. 5 (2020): 1542-1559.
Wang, Z., P. K. Kannan, and S. Azarm, 2011, "Customer-Driven Design Decision for Convergence Products," Journal of Mechanical Design, 133(10), pp. 101010-1 to 101010-10. Designated as one of "10 best papers" in the 2011 ASME Design Automation Conference.
X. Jia, C J. Lee, Z Zhang, P. Radecki, J Lee. A Methodology for the early diagnosis of vehicle torque converter clutch degradation. 2019 IEEE International Conference on Automation Science and Engineering. IEEE, 2019.
Cai, Haoshu, Jianshe Feng, Qibo Yang, Fei Li, Xiang Li, Jay Lee, Reference-based Virtual Metrology Method with Uncertainty Evaluation for Material Removal Rate Prediction based on Gaussian Process Regression, The International Journal of Advanced Manufacturing Technology, 2021
Shahin Siahpour, Xiang Li, Jay Lee. Deep learning-based cross-sensor domain adaptation for fault diagnosis of electro-mechanical actuators. International Journal of Dynamics and Control. 2020.
Xiaodong Jia, Haoshu Cai, Yuanming Hsu, Wenzhe Li, Jianshe Feng, Jay Lee. A Novel Similarity-based Method for Remaining Useful Life Prediction Using Kernel Two Sample Test. Proceedings of the Annual Conference of the PHM Society. 2019, 10, 1.
Job Titles:
- Assistant Professor in the Department of Mechanical Engineering
Yunfei Zhao is an Assistant Professor in the Department of Mechanical Engineering at the University of Maryland. He is affiliated with the Center for Risk and Reliability and is setting up the Risk and Decision Analysis Laboratory. His research is focused on risk analysis and decision analysis for complex industrial systems, for example, nuclear power plants, electric power systems. He analyzes risks to these systems from various sources, including natural component failures, human errors, and malicious cyber and physical attacks. He is particularly interested in developing dynamic methods for probabilistic risk assessment that are suitable for modeling the dynamic and complex interactions and dependencies between these different aspects. He strongly believes that risk analysis is not just to obtain a probability value, but is valuable to decision analysis, particularly for safety-critical systems. He applies risk analysis to support risk-informed decision-making to cost-effectively improve system reliability and performance through risk-informed design optimization, maintenance policy optimization, cyber attack response optimization, etc. In his research, he uses existing and develops new methods, models, and algorithms to address these risk analysis and decision analysis problems, for example, dynamic probabilistic risk assessment, game theory, Bayesian analysis, Bayesian networks, cognitive modeling and simulation, dynamic programming, Markov decision process. He is also interested in probabilistic inference problems, for example, cyber attack detection, system health monitoring, the solution to which can support decision analysis.
Prior to joining the University of Maryland, he worked at The Ohio State University as a research associate and a post-doctoral researcher. While working at The Ohio State University, he worked on several research projects funded by the Department of Energy Office of Nuclear Energy, the U.S. Nuclear Regulatory Commission, Department of Energy Advanced Research Projects Agency-Energy, Idaho National Laboratory, and Department of Energy National Nuclear Security Administration.
He has published 23 journal articles and 18 peer-reviewed conference papers. He frequently served as reviewers for journals and conferences in reliability engineering, risk analysis, decision analysis, etc.
Education
Ph.D., Nuclear Science and Technology, Tsinghua University, 2016
B.S., Thermal Energy and Power Engineering, Shandong University, 2011