Zahra Mohaghegh

Description

Address

  • 4047 Beckman Institute
  • 405 North Mathews Avenue
  • Urbana, Illinois 61801

Biography

Zahra Mohaghegh is currently an Assistant Professor in the Department of Nuclear, Plasma, and Radiological Engineering (NPRE) and an affiliate to the Department of Industrial and Enterprise Systems Engineering, Beckman Institute for Advanced Science and Technology, Graduate School of Information Sciences, Computational Science and Engineering, and the Illinois Informatics Institute at the University of Illinois at Urbana-Champaign (UIUC).  Dr. Mohaghegh is the director of the Socio-Technical Risk Analysis (SoTeRiA) laboratory (http://soteria.npre.illinois.edu) at UIUC. 

The main objective of her research and education is advancing Probabilistic Risk Assessment (PRA), which is now one of the key pillars of the Risk-Informed regulatory framework for the Nuclear Regulatory Commission (NRC). Mohaghegh is the principal investigator of a five-year National Science Foundation (NSF) grant for Big Data Analytics in PRA. She is also the recipient of the 2016 American Nuclear Society Mary Jane Oestmann Professional Women’s Achievement Award, the 2016 Engineering Council Award for Excellence in Advising, the 2015 Dean’s Award for Excellence in Research from the College of Engineering, and the George Apostolakis Award in risk assessment. Her Ph.D. thesis was recognized by the Zonta International Award for the contribution to modeling large-scale complex systems. After completing her post-doc at the Center for Risk and Reliability at the University of Maryland in 2010, Dr. Mohaghegh established Soteria Consultants, a risk management consulting company. She is the author of the book, Socio-Technical Risk Analysis and over forty journal and conference papers on risk analysis.

She is interested in promoting research and education in risk and reliability analysis. Since coming to UIUC, Mohaghegh has focused on two key areas of scientific innovation: (a) “spatio-temporal” causal modeling of underlying social and physical failure mechanisms in PRA and (b) the incorporation of big data analytics into PRA

Since 2012, Dr. Mohaghegh and her research team have been involved in the risk-informed resolution of Generic Safety Issue 191, a long-standing issue for commercial nuclear power plants and the Nuclear Regulatory Commission.  The ongoing research applications in her laboratory include: modeling fire risk in nuclear power plants; location-specific Loss of Coolant Accidents (LOCA) leading to Emergency Core Cooling System (ECCS) failure; modeling the effects of human and organizational factors on technical system failure; and socio-technical risk-informed emergency preparedness, planning and response modeling for severe accidents.

Dr. Mohaghegh has developed and taught undergraduate and graduate courses in PRA across engineering disciplines and to non-engineering students at UIUC.  She served as the technical chair for the American Nuclear Society (ANS) Risk Management topical meeting in November 2013. In March 2015, she developed and presented the U.S.-China Probabilistic Safety Assessment Workshop on “Risk-Informed Regulation and Safety Culture” in China, as part of the DOE’s Peaceful Uses of Nuclear Technology (PUNT) program. She is a member of the Society for Risk Analysis, American Nuclear Society, Society of Women Engineers, and American Society of Mechanical Engineers. She holds Master’s and Ph.D. in Reliability Engineering from the Mechanical Engineering Department at the University of Maryland and a B.S. from Sharif University of Technology in Iran.

Publications

  • 2016
    • Bui, H., Pence, J., Mohaghegh, Z., & Kee, E. (2016). Spatio-Temporal Socio-Technical Risk Analysis Methodology for Emergency Response. Paper presented at the 13th International Conference on Probabilistic Safety Assessment and Management (PSAM 13), Seoul, Korea.
    • O'Shea, N., Mohaghegh, Z., Reihani, S., & Kee, E. (2016). Estimating Loss-of-Coolant Accident (LOCA) Frequencies via Spatio-Temporal Methodology. Paper presented at the Topical Meeting on Probabilistic Safety Assessment and Analysis (PSAM13).
    • Bui, H., Pence, J., Mohaghegh, Z., & Kee, E. (2016). Spatio-Temporal Socio-Technical Risk Analysis Methodology for Emergency Response. Paper presented at the 13th International Conference on Probabilistic Safety Assessment and Management (PSAM 13), Seoul, Korea.
    • O'Shea, N., Mohaghegh, Z., Reihani, S., & Kee, E. (2016). Estimating Loss-of-Coolant Accident (LOCA) Frequencies via Spatio-Temporal Methodology. Paper presented at the Topical Meeting on Probabilistic Safety Assessment and Analysis (PSAM13).
  • 2015
    • Mohaghegh, Z., Kee, E., Pence, J., Sakurahara, T., Miller, I., & Abolhelm, M. (2015, March 23-27). Risk-Informed Regulation and Safety Culture Workshop. Presented at the 7th U.S.-China Probabilistic Safety Assessment Workshop, Shenzhen, China.
    • Miller, I. (2015). Integrating geographic information systems with the Level 3 Probabilistic Risk Assessment of nuclear power plants to advance modeling of socio-technical infrastructure in emergency response applications. (M.S.), University of Illinois at Urbana-Champaign.
    • Miller, I., Mohaghegh, Z., & Whitacre, J. (2015). Using GIS to integrate social factors with level 3 PRA for emergency response. Paper to be presented at the European Safety and Reliability Conference (ESREL), Zürich, Switzerland.
    • Sakurahara, T., Reihani, S., Mohaghegh, Z., Brandyberry, M., Kee, E., Rodgers, S., & Billings, M. A. (2015). Integrated PRA methodology to advance fire risk modeling for nuclear power plants. Paper to be presented at the European Safety and Reliability Conference (ESREL), Zürich, Switzerland.
    • Pence, J., Mohaghegh, Z. (2015). Risk-informed emergency response via spatio-temporal socio-technical risk analysis. Paper to be presented at the European Safety and Reliability Conference (ESREL), Zürich, Switzerland.
    • Pence, J., & Mohaghegh, Z. (2015). On the Incorporation of Spatio-Temporal Dimensions into Socio-Technical Risk Analysis. Paper presented at the International Topical Meeting on Probabilistic Safety Assessment and Analysis, Sun Valley, ID.
    • O'Shea, N., Mohaghegh, Z., Reihani, S., Kee, E., Fleming, K., & Lydell, B. (2015). Analyzing Non-Piping Location-Specific LOCA Frequency for Risk-Informed Resolution of Generic Safety Issue 191. Paper presented at the International Topical Meeting on Probabilistic Safety Assessment and Analysis, Sun Valley, ID.
    • Pence, J., Mohaghegh, Z., Dang, V., Ostroff, C., Kee, E., Hubenak, R., & Billings, M. A. (2015). Quantifying Organizational Factors in Human Reliability Analysis Using the Big Data-Theoretic Algorithm. Paper presented at the International Topical Meeting on Probabilistic Safety Assessment and Analysis, Sun Valley, ID.
    • O'Shea, N., Pence, J., Mohaghegh, Z., & Kee, E. (2015). Physics of Failure, Predictive Modeling & Data Analytics for LOCA Frequency. Poster presented at the Reliability and Maintainability Symposium, Palm Harbor, Florida.
    • Abolhelm, M., & Mohaghegh, Z. (2015). Demonstrating the Monetary Value of Risk-Informed Decision-Making in Complex, Socio-Technical Systems. Poster presented at the 5th Annual Society of Postdoctoral Scholars, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign.
    • Pence, J., & Mohaghegh, Z. (2015). Big Data-Theoretic Foundations and Algorithm for Probabilistic Risk Assessment of Complex Socio-Technical Systems: Application to Nuclear Power Safety. Poster presented at the 5th Annual Society of Postdoctoral Scholars, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign.
    • Mohaghegh, Z., Kee, E., Pence, J., Sakurahara, T., Miller, I., & Abolhelm, M. (2015, March 23-27). Risk-Informed Regulation and Safety Culture Workshop. Presented at the 7th U.S.-China Probabilistic Safety Assessment Workshop, Shenzhen, China.
    • Miller, I. (2015). Integrating geographic information systems with the Level 3 Probabilistic Risk Assessment of nuclear power plants to advance modeling of socio-technical infrastructure in emergency response applications. (M.S.), University of Illinois at Urbana-Champaign.
    • Miller, I., Mohaghegh, Z., & Whitacre, J. (2015). Using GIS to integrate social factors with level 3 PRA for emergency response. Paper to be presented at the European Safety and Reliability Conference (ESREL), Zürich, Switzerland.
    • Sakurahara, T., Reihani, S., Mohaghegh, Z., Brandyberry, M., Kee, E., Rodgers, S., & Billings, M. A. (2015). Integrated PRA methodology to advance fire risk modeling for nuclear power plants. Paper to be presented at the European Safety and Reliability Conference (ESREL), Zürich, Switzerland.
    • Pence, J., Mohaghegh, Z. (2015). Risk-informed emergency response via spatio-temporal socio-technical risk analysis. Paper to be presented at the European Safety and Reliability Conference (ESREL), Zürich, Switzerland.
    • Pence, J., & Mohaghegh, Z. (2015). On the Incorporation of Spatio-Temporal Dimensions into Socio-Technical Risk Analysis. Paper presented at the International Topical Meeting on Probabilistic Safety Assessment and Analysis, Sun Valley, ID.
    • O'Shea, N., Mohaghegh, Z., Reihani, S., Kee, E., Fleming, K., & Lydell, B. (2015). Analyzing Non-Piping Location-Specific LOCA Frequency for Risk-Informed Resolution of Generic Safety Issue 191. Paper presented at the International Topical Meeting on Probabilistic Safety Assessment and Analysis, Sun Valley, ID.
    • Pence, J., Mohaghegh, Z., Dang, V., Ostroff, C., Kee, E., Hubenak, R., & Billings, M. A. (2015). Quantifying Organizational Factors in Human Reliability Analysis Using the Big Data-Theoretic Algorithm. Paper presented at the International Topical Meeting on Probabilistic Safety Assessment and Analysis, Sun Valley, ID.
    • O'Shea, N., Pence, J., Mohaghegh, Z., & Kee, E. (2015). Physics of Failure, Predictive Modeling & Data Analytics for LOCA Frequency. Poster presented at the Reliability and Maintainability Symposium, Palm Harbor, Florida.
    • Abolhelm, M., & Mohaghegh, Z. (2015). Demonstrating the Monetary Value of Risk-Informed Decision-Making in Complex, Socio-Technical Systems. Poster presented at the 5th Annual Society of Postdoctoral Scholars, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign.
    • Pence, J., & Mohaghegh, Z. (2015). Big Data-Theoretic Foundations and Algorithm for Probabilistic Risk Assessment of Complex Socio-Technical Systems: Application to Nuclear Power Safety. Poster presented at the 5th Annual Society of Postdoctoral Scholars, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign.
  • 2014
    • Pence, J., Mohaghegh, Z., Kee, E., Yilmaz, F., Grantom, R., & Johnson, D. (2014). Toward Monitoring Organizational Safety Indicators by Integrating Probabilistic Risk Assessment, Socio-Technical Systems Theory, and Big Data Analytics. Paper presented at the Proceedings of 12th International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSAM12)
    • Pence, J., & Mohaghegh, Z. (2014). Methodological Foundations for Integrating Socio-Technical Risk Analysis with Big Data Analytics. Paper presented at the Society for Risk Analysis, Denver, Colorado.
    • Pence, J., & Mohaghegh, Z. (2014). On the Spatio-Temporal Dimensions of Socio-Technical Risk Analysis. Poster presented at the Society for Risk Analysis, Denver, Colorado.
    • Mohaghegh, Z. (2014). Big Data-Theoretic Advancements for Probabilistic Risk Assessment. Presented at the IAJC/ISAM Joint International Conference, Orlando, FL.
    • Morton, D., Letellier, B., Tejada, J., Johnson, D., Mohaghegh, Z., Kee, E., Moiseytseva, V., Reihani, S., Zolean, A. (2014). Sensitivity Analyses for High-order Simulation Used in the STP GSI-191 Risk-Informed Resolution Project. Paper presented at the 22nd International Conference on Nuclear Engineering (ICONE22).
    • Pence, J., Mohaghegh, Z., Kee, E., Yilmaz, F., Grantom, R., & Johnson, D. (2014). Toward Monitoring Organizational Safety Indicators by Integrating Probabilistic Risk Assessment, Socio-Technical Systems Theory, and Big Data Analytics. Paper presented at the Proceedings of 12th International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSAM12)
    • Pence, J., & Mohaghegh, Z. (2014). Methodological Foundations for Integrating Socio-Technical Risk Analysis with Big Data Analytics. Paper presented at the Society for Risk Analysis, Denver, Colorado.
    • Pence, J., & Mohaghegh, Z. (2014). On the Spatio-Temporal Dimensions of Socio-Technical Risk Analysis. Poster presented at the Society for Risk Analysis, Denver, Colorado.
    • Mohaghegh, Z. (2014). Big Data-Theoretic Advancements for Probabilistic Risk Assessment. Presented at the IAJC/ISAM Joint International Conference, Orlando, FL.
    • Morton, D., Letellier, B., Tejada, J., Johnson, D., Mohaghegh, Z., Kee, E., Moiseytseva, V., Reihani, S., Zolean, A. (2014). Sensitivity Analyses for High-order Simulation Used in the STP GSI-191 Risk-Informed Resolution Project. Paper presented at the 22nd International Conference on Nuclear Engineering (ICONE22).

Press

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