Center for Risk and Reliability
Maryland Energy Innovation Institute
Katrina Groth is an Assistant Professor in Mechanical Engineering at the University of Maryland. Dr. Groth is the associate director for research for UMD's Center for Risk and Reliability and the director of the Systems Risk and Reliability Analysis lab (SyRRA). Groth’s research focuses on engineering safer systems through models and computational methods for risk analysis of complex engineering systems. Her research blends model-based thinking with computational, data-driven methods, drawing from reliability engineering, probability theory, causal modeling, Bayesian statistics, machine learning and engineering science. She is a recognized expert in hydrogen safety, probabilistic / quantitative risk assessment and human reliability analysis. Groth’s research has enhanced system safety, U.S. regulations and policy, and international codes and standards for applications including hydrogen fueling stations, natural gas and fuel cell vehicles, oil and natural gas pipelines, commercial aviation, and nuclear power.
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 60 journal and conference papers, 30 archival technical reports, and 2 software packages, and holds 1 patent. 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), and national laboratories, including Sandia National Laboratories, the National Renewable Energy Laboratory, Idaho National Laboratory, and the Gas Technology Institute.
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.
- 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
- 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
Selected Professional Service
- Editorial Board, Reliability Engineering & System Safety, 2020 - present
- Board of Trustees, National Atomic Museum Foundation, Albuquerque, NM, 2016 - present
- Technical Program Committee, International Conference on Probabilistic Safety Assessment and Management, 2012-present
- Technical Program Committee, European Society for Reliability Annual Meeting (ESREL), 2015-present
- Organizer, ASME - UMD workshop on PHM Approach for Complex Engineering Systems (PACES)College Park, MD (Originally scheduled for April 28, 2020 – postponed due to COVID-19).
- Organizer, R3Data workshop - Harnessing data for enhanced understanding of risk, reliability, andresilience. College Park, MD, May 7-8, 2019.
- Member (Elected), ANS Nuclear Installations Safety Division (NISD) Executive Committee, 2019 - 2022
- Associate Technical Chair, International Conference on Probabilistic Safety Assessment and Management (PSAM 14), Los Angeles, CA, Sep. 16-21, 2018
- Associate Editor, Reliability and Maintainability Symposium (RAMS), 2015 - 2018
- Co-chair, Sub-task on safety methodology and distances, ISO TC197 WG24, 2014 - 2017
- Scientific Advisory Board, 1st International Conference on Human Error, Reliability, Resilience, and Performance (HERPP), 2017
- Leader, Task A (safety integration toolkits), International Energy Agency Hydrogen Implementing Agreement, IEA/HIA Task 37, 2014 - 2017
- American Society of Mechanical Engineers (ASME)
- Society for Risk Analysis (SRA)
- International Association for Hydrogen Energy (IAHE) - Founding member of Hydrogen Safety Division
- American Nuclear Society (ANS)
- Institute of Electrical and Electronics Engineers (IEEE) Reliability Society - Senior Member
Risk analysis, system safety, human reliability analysis, causality, human-machine teams, decision making under uncertainty, Bayesian Networks, Bayesian methods, complex systems.
Applications in: hydrogen safety, hydrogen fueling stations, fuel cells, natural gas, pipelines, energy, transportation, infrastructure, and nuclear power plants.
- ENRE 602 - Reliability Analysis
- A first-year graduate course open to all engineering majors and required for all Reliability Engineering majors. This course provides an overview of the techniques, methods, and models methods used in various aspects of reliability engineering. Probabilistic modeling; probabilistic definition of reliability; use of data to assess model parameters; Principal methods of reliability analysis, including fault tree and reliability block diagrams; Failure Mode and Effects Analysis (FMEA); event tree construction and evaluation; reliability data collection and analysis; Bayesian analysis; parameter estimation. Focus on problems related to mechanical systems, process plants, energy systems and infrastructures, and other engineered systems.
- ENRE 447 - Fundamentals of Reliability Engineering
- A senior-level undergraduate engineering elective open to all STEM majors. This course provides a general survey of the techniques of reliability engineering with a focus on theoretical basis and quantitative methods, with frequent examples of application. Topics covered include: failure modes and effects analysis, mathematical definition of reliability, probabilistic models to represent failure phenomena, statistical life models for non-repairable components, reliability data analysis, and system reliability models including fault trees, event trees. Students will learn how to apply these techniques to problems related to engineering systems, with example cases for process plants, energy systems and infrastructure.
See my Google Scholar Profile for full list including journal papers, conference papers, and technical reports: https://scholar.google.com/citations?user=KLstwMcAAAAJ&hl=en
Journal papers (last updated May 2019):
- Moradi, Ramin and Groth, Katrina M. Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis, International Journal of Hydrogen Energy, 44(23):12254–12269, May 2019.
- Groth, Katrina M. Denman, Matthew R. Jones, Thomas B. Darling, Michael C. & Luger, George F. Building and using dynamic risk-informed diagnosis procedures for complex system accidents. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2019.
- Darling, Michael C. Luger, George F. Jones, Thomas B. Denman, Matthew R. & Groth,Katrina M. Intelligent modeling for nuclear power plant accident management. International Journal of Artificial Intelligence Tools, 27(2), 2018.
- Heidary, Roohollah, Gabriel, Steven A. Modarres, Mohammad, Groth, Katrina M.& Vahdati, Nader. A review of data-driven oil and gas pipeline pitting corrosion growth models applicable for prognostic and health management. International Journal of Prognostics and Health Management, 9(1), 2018.
- Katrina M. Groth and Ethan S. Hecht. HyRAM: A methodology and toolkit for quantitative risk assessment of hydrogen systems. International Journal of Hydrogen Energy. 42(11): 7485-7493, March 2017.
- C. San Marchi, E. S. Hecht, I. W. Ekoto, K. M. Groth, C. LaFleur, B. P. Somerday, R. Mukundan, T. Rockward, J. Keller, and C. W. James. Overview of the DOE hydrogen safety, codes and standards program, part 3: Advances in research and development to enhance the scientific basis for hydrogen regulations, codes and standards. International Journal of Hydrogen Energy, 42(11): 7263-7274, March 2017.
- A. C. LaFleur, A. B. Muna, and K. M. Groth. Application of quantitative risk assessment for performance-based permitting of hydrogen fueling stations. International Journal of Hydrogen Energy, 42(11): 7529-7535, March 2017.
- T. Skjold, D. Siccama, H. Hisken, A. Brambilla, Prankul Middha, K. M. Groth, and A. C. LaFleur. 3D risk management for hydrogen installations. International Journal of Hydrogen Energy, 42(11): 7721-7730, March 2017.
- Kilian Zwirglmaier, Daniel Straub, and Katrina M. Groth. Capturing cognitive causal paths in human reliability analysis with Bayesian network models. Reliability Engineering & System Safety, 158:117-129, February 2017.
- Huafei Liao, Katrina Groth, and Susan Stevens-Adams. Challenges in leveraging existing human performance data for quantifying the IDHEAS HRA method. Reliability Engineering & System Safety, 144:159-169, December 2015.
- Katrina M. Groth, Curtis L. Smith, and Laura P. Swiler. A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methods. Reliability Engineering & System Safety, 128:32-40, 2014.
- Katrina M. Groth and Laura P. Swiler. Bridging the gap between HRA research and HRA practice: A Bayesian network version of SPAR-H. Reliability Engineering and System Safety, 115:33-42, July 2013.
- 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.
- Jeffrey L. LaChance, Bobby Middleton, and Katrina M. Groth. Comparison of NFPA and ISO approaches for evaluating separation distances. International Journal of Hydrogen Energy, 37(22):17488-17496, November 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.
- Katrina Groth, Chengdong Wang, and Ali Mosleh. Hybrid causal methodology and software platform for probabilistic risk assessment and safety monitoring of socio-technical systems. Reliability Engineering & System Safety, 95(12):1276-1285, 2010.
- Takashi Kashiwagi, Fangming Du, Karen I. Winey, Katrina M. Groth, John R. Shields, Severine P. Bellayer, Hansoo Kim, and Jack F. Douglas. Flammability properties of polymer nanocomposites with single-walled carbon nanotubes: effects of nanotube dispersion and concentration. Polymer, 46(2):471-481, January 2005.
- Takashi Kashiwagi, Eric Grulke, Jenny Hilding, Katrina Groth, Richard Harris, Kathryn Butler, John Shields, Semen Kharchenko, and Jack Douglas. Thermal and flammability properties of polypropylene/carbon nanotube nanocomposites. Polymer, 45(12):4227-4239, May 2004.