Chang, Yuanshang

Yuanshang Chang was enrolled in the Ph.D. program of Material Science and Engineering Department of UCLA in 2014. He graduated the Bachelor Program of Mechanical Engineering from National Central University, Taiwan. He is now doing research advised by Professor Ali Mosleh and Professor Jenn-Ming Yang on polymer degradation in radiation environment. The goal of this project is to develop a probabilistic prediction model based on time-to-failure analyses.

Diaconeasa, Mihai

Mihai Diaconeasa is a Ph.D. Candidate in the Mechanical Engineering Department since 2014. He obtained his B.Sc. degree from University College Utrecht, the international undergraduate honors college of Utrecht University, the Netherlands and his M.S. in Nuclear Science and Engineering from Massachusetts Institute of Technology. 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 in dynamic probabilistic risk assessment and eventually transferred to UCLA in order to further their collaboration.

Fang, Alex

Alex Fang started his Master's Degree of Materials Science Engineering at UCLA in 2016. He obtained his Bachelor’s degree from the Materials Science Engineering Department of Drexel University in 2014. Previously he worked on synthesis of nano materials. He’s now doing Machine Learning Approach on Failure Analysis in Professor Ali Mosleh’s research group. His project focuses on diagnosis and prognosis of system failure with big data.

Huang, Lixian

Lixian Huang is a M.S. student major in Materials Science and Engineering (MSE) at UCLA. She got her B.S. degree with honors in MSE from University of California, Davis in June 2016. Her previous research projects include the superconductivity characterization on SPS materials, laser parameters optimization, and negative thermal expansion property study. She is now a M.S. student in Professor Ali Mosleh’s group researching about the risk analysis of electrical materials.

Li, Yucong

Yucong Li was enrolled in the M.S. program of Material Science and Engineering Department of UCLA in 2016. He graduated the Bachelor Program of Material Physics from Northeastern University, China. He is now doing research advised by Professor Ali Mosleh and Ph.D. Mihai Diaconeasa on Bayesian Belief Networks in Nuclear Power Plant environment.

Wu, Keo-Yuan

Keo-Yuan Wu is a Ph.D. student in the department of Material Science and Engineering and a member of the B. John Garrick Institute for the Risk Science at UCLA since 2015. He had a M.S. in the department of Material Science and Engineering at National Tsing Hua University in Taiwan. His current research focuses on risk assessment of gas and oil pipeline corrosion under the supervision of prof. Ali Mosleh. He aims to build a better predictive model of pipeline corrosion based on corrosion rate models, along with probabilistic methods and Bayesian network approaches.