Arjun Earthperson

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Arjun Earthperson
Ph.D Student, North Carolina State University



B.S. University of California, Los Angeles

Hi, I am Arjun and I am currently at NCSU in the Nuclear Engineering PRA Group. I graduated from UCLA in Electrical and Computer Engineering. During my studies, I conducted research on smartwatch-based activity recognition and indoor-positioning at the Center for SMART Health. Before that, I was working at the Embedded and Reconfigurable Systems Lab on various healthcare related machine learning projects. Prior to NCSU, I worked at the Institute to assist in the development of an end-to-end reliability framework for NASA's Jet Propulsion Laboratory for use in space systems. Also, I took part on UX/UI and back-ends for large-scale web services. In my free time, I contributed as embedded systems developer to BREATHE, a real-time pediatric asthma evaluation platform at the LA PRISMS Center.

Everton Nogueira Lima

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Everton Nogueira Lima

Ph.D. Candidate, University of São Paulo

Everton Nogueira Lima is a Ph.D. Candidate from University of São Paulo – USP, in Brazil. He joined GIRS from Sept 2018 to Sept 2019 as a visiting Ph.D. student. He is a Senior Mechanical Engineer at Production Development Department at PETROBRAS S/A, in Rio de Janeiro, RJ. His research focuses on the optimization of operational efficiency and costs of an oil and gas offshore topsides process plant, since the early stages of design. He is currently working on the development of a methodology with association of mathematical methods for reliability synthesis, and the use of pseudo-spatial data as input for the system/equipment failure rates.

 

Samaneh Balali

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Samaneh Balali


Ph.D. University of Strathclyde
M.S. University of Tehran

Dr. Balali joined the institute as a Postdoctoral Research Scholar in May 2015. She has led and contributed to the development and implementation of Bayesian risk assessment methodologies and computational algorithms, in collaboration with major international power generation and utilities sectors. She specializes in developing data-driven diagnostics, prognostics, and decision optimization methodologies in health management of complex engineering systems. She received her Ph.D. in Management Science from University of Strathclyde, and M.Sc. in Industrial Engineering from University of Tehran.

Yining (Anna) Dong

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Yining (Anna) Dong
PhD Student

Norwegian University of Science and Technology

Yining (Anna) Dong is a Ph.D. student at the Department of Marine Technology in the Norwegian University of Science and Technology. She has been working on the project of online risk modeling for marine system dynamic positioning. In a collaboration with the B. John Garrick Institute for the Risk Science, she is currently a Visiting Graduate Researcher at UCLA, and working with Prof. Ali Mosleh together to develop a methodology for identification of early warning indicators.

Yining (Anna) Dong was also the Conference Organizer for European Reliability and Safety Conference (ESREL 2018) and International Conference of Ocean, Offshore and Arctic Engineering (OMAE 2017).

Yantao Zhu

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Yantao Zhu
PhD Candidate

Hohai University

Yantao Zhu is a Ph.D. Candidate from Hohai University. He joined GIRS from Oct 2nd, 2018 to Oct 2nd, 2019 as a visiting Ph.D. student. His research focuses on the risk assessment of multi-dam system, structural health monitoring (SHM). He is currently working on developing a new hybrid causal logic risk assessment software platform for multi-dam system.

Tengfei Wang

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Tengfei Wang
PhD Candidate

Wuhan University of Technology

Tengfei Wang is a Ph.D. Candidate from Wuhan University of Technology. He joined GIRS from Jan 1st, 2018 to Jun 30th, 2019 as a visiting Ph.D. student. His research focuses on the risk assessment of unmanned merchant vessels. He is currently working on developing a new hybrid static-dynamic probabilistic risk assessment software platform for unmanned ships.

Elaheh Rabiei

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Elaheh Rabiei


Ph.D. University of Maryland
M.S. University of Maryland

Dr. Rabiei is a former Postdoctoral Research Scholar from the UCLA Garrick Institute. 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.