Dr. Balali joined the institute as a Postdoctoral Scholar in May 2015. She obtained her Ph.D. in Management Science from University of Strathclyde, Scotland, and her M.Sc. in Industrial Engineering from University of Tehran, Iran. Her Ph.D. work was on incorporating expert judgment into condition based maintenance decision-support process, under supervision of Prof. Tim Bedford and Prof. Lesley Walls. She currently works on developing computational algorithms for hybrid dynamic bayesian networks applied in health management of complex engineering systems.
Dr. Yuan-Shang Chang successfully defended his doctoral dissertation, "Predictive Model of the Degradation of Cable Insulation Subject to Heat and Radiation", in Materials Science and Engineering Department of UCLA. He received his Bachelor of Mechanical Engineering from National Central University, Taiwan. He is now doing research advised by Prof. Ali Mosleh and Prof. Jenn-Ming Yang on the reliability of materials aging in heat, UV, atomic oxygen, and radiation. The goal of his research is to develop probabilistic predictive models according to physics-based approaches and time-to-failure analyses.
Dr. Mihai Diaconeasa is currently working on developing a new hybrid static-dynamic probabilistic risk assessment software platform for nuclear power plants. Concurrently, he leads the development of the Hybrid Causal Logic Analyzer system reliability software used to assess the commercial off-the-shelf (COTS) parts usage in Space Systems for extended deep space missions at NASA's Jet Propulsion Laboratory (JPL). He is also involved in the institute's collaborations with the Southern Company, Pacific Gas and Electric Company (PG&E), and Japan's Nuclear Regulation Authority (NRA) on probabilistic risk assessment projects for nuclear power plants.
He obtained his B.Sc. degree from University College Utrecht (UCU), the international undergraduate honors college of Utrecht University, the Netherlands and his M.S. in Nuclear Science and Engineering from Massachusetts Institute of Technology (MIT). While exploring potential research avenues in probabilistic risk assessment for nuclear power plants with Professor Michael Golay of MIT, they encountered Professor Mosleh's work on dynamic probabilistic risk assessment and eventually transferred to UCLA in order to further their collaboration. He completed his Ph.D. degree in Mechanical Engineering at UCLA on the "Integration of Qualitative and Quantitative Hybrid Causal Logic into a Simulation-based Platform for Probabilistic Risk Assessment of Nuclear Power Plants" for the United States Nuclear Regulatory Commission (NRC).
Dr. Jackson received his Ph.D. in Reliability Engineering from the University of Maryland’s Center of Risk and Reliability. He has an extensive career as a Senior Reliability Engineer in the Australian Defence Force, and is the Director of Acuitas Reliability Pty Ltd. He has supported many complex and material systems developed their reliability performance, and assisted in providing reliability management frameworks that support business outcomes. He has also led initiatives in complementary fields such as systems engineering and performance based management frameworks (PBMFs).
Dr. Rabiei is currently cooperating with the Institute as a Postdoctoral Research Scholar. She received her PhD in Reliability Engineering from University of Maryland, Center for Risk and Reliability. She also has a M.Sc. degree in Mechanical engineering. She specializes in data analysis and using the power of data, statistics and machine learning along with the knowledge about the underlying physics to tackle challenging engineering problems.