Johnson, David

Dr. Johnson has more than 35 years of experience in risk-based analysis for industry and government applications. His extensive experience and knowledge in all facets of nuclear reactor probabilistic risk assessments (PRA) and expertise include probabilistic modeling and investigation of impacts of industrial endeavors, the development of quantitative risk assessment methods and the practical application of these methods to support risk management.

Woody, Epstein

Since 1983, Dr. Epstein has worked as a mathematician and probabilistic risk assessment (PRA) professional, living in Japan since 2003. Following the Fukushima Daiichi accident, he has concentrated on the mathematical and computer modeling of extreme external events such as earthquakes, tsunami and their integration into Level 1 External Events PRA. His expertise includes risk assessment software development, project management, modeling and simulations, mathematical techniques for risk assessment, software risk assessment, and advanced research in risk assessment technology.

Pourali, Masoud

Dr. Masoud Pourali received his Ph.D. from University of Maryland in Reliability Engineering. His research interestes are: System Health Monitoring, Prognostics and Health Management (PHM), Bayesian Sensor Placement Optimization, Common Cause Failure (CCF) Analysis, and Application of Bayesian Techniques such as Bayesian Belief Networks in Risk and Reliability Analysis.

Zhu, Dongfeng

Dr. Dongfeng Zhu received his PhD from University of Maryland in Reliability Engineering in year 2005, and continued in a Post Doctoral Researcher at the Center for Risk and Reliability until 2008. He currently serves as Director of Research and Development at ITEM Software. He has over 15 years of research, training, consulting, and software development experience in reliability engineering and risk analysis. Dr. Zhu’s research interests lie in the area of Probabilistic Risk Assessment, Bayesian Methods for Data Analysis, Software Reliability, and Human Reliability.

Fleming, Karl

Karl Fleming received his B.S. in Physics from Penn State University, Cum Laude in 1969 and his M.S. in Nuclear Science and Engineering at Carnegie-Mellon University in 1974. He has devoted his entire professional career of 45 years to the advancement and application of PRA technology in the nuclear, chemical, process, and aerospace industries. Following professional and executive level assignments at General Atomics, and Pickard Lowe and Garrick, and ERIN Engineering and Research he established an independent consulting firm in 2001 and continues to be active as an independent consultant.

Smith, Clayton

Dr. Smith is a member of the Principle Professional Staff at JHU/APL with over 30 years of experience analyzing systems from risk, reliability, and safety perspectives. These systems included: NASA and DoD missions, payloads, ground communication systems, air traffic control systems, and missile systems. He is developing approaches to assess intentional threats against space assets using PRA and Game Theory techniques. He created and managed NASA’s International Space Station Program Probabilistic Risk Assessment specifically geared toward quantifying the safety risk during operations. Dr. Smith is currently the reliability engineering lead for APL’s Solar Probe Plus mission. He received his B.S. in Aerospace Engineering, M.S. in Engineering Management, and Ph.D. in Reliability Engineering all from the University of Maryland.

Kazarians, Mardy

Mardy Kazarians is an independent consultant and owner of Kazarians & Associates, Inc. specializing in risk assessment and risk management program development and implementation of highly hazardous operations. As part of his Ph.D. dissertation at UCLA, he developed a methodology for the fire risk in nuclear power plants. He has since worked on a large number of risk assessment projects for nuclear plants in the U.S. and abroad. He has extended his knowledge of risk assessment to other industries such as petroleum refining, chemicals manufacturing as well as systems and operations handling highly hazardous materials.