Maryam Ghamarchehreh
/Maryam’s research at the Garrick Institute for the Risk Sciences focuses on advancing methodologies to enable agencies to integrate quantitative risk assessment at both the project and network levels.
Read MoreMaryam’s research at the Garrick Institute for the Risk Sciences focuses on advancing methodologies to enable agencies to integrate quantitative risk assessment at both the project and network levels.
Read MorePhD Candidate
Majoring in Civil and Environmental Engineering
MS/BS University of Chile
Gabriel San Martín Silva is currently a PhD Candidate at UCLA under the supervision of Prof. Enrique López Droguett. San Martín’s undergraduate and graduate research was primarily focused on the application of Deep Learning models and Bayesian inference to prognosis and health management (PHM) problems. His current research is focused on the application of quantum computing to reliability and resilience challenges, with the objective of improving safety and efficiency in complex engineering networks.
Fahimeh Fakour is a 3rd year Computer Science Ph.D. student. Her research interests include machine learning, uncertainty analysis, and uncertainty quantification.
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Aidin Tamhidi
Ph.D. Student M.S. Sharif University of Technology |
Aidin Tamhidi is a PhD student in Structural and Earthquake Engineering at UCLA. He received his BS and MS in Civil and Environmental Engineering from Sharif University of Technology. His current research is about Next-Generation Earthquake Field Data Measurements and their Use to Assess Earthquake Performance of Built Environment. He is conducting his research under the supervision of Professor Yousef Bozorgnia and Professor Ertugrul Taciroglu.
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Minh Cao
Ph.D. Student B.S. University of California, Los Angeles |
Minh Cao is currently working as Programming Analyst and candidate M.S student in Bioengineering at UCLA. He is an expert in Signal processing, Android development and Cloud computing. His research interests mainly focus on applications of sensor networks and cloud computing in IoT mobile health care domain.