Arjun

Arjun
Research and Development Engineer

B.S. University of California, Los Angeles

Hey! I'm Arjun, an engineer interested in embedded systems and human activity recognition.
I recently graduated from UCLA in Electrical and Computer Engineering. During my studies, I was conducting 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.


Currently, I am working at the institute, developing an end-to-end reliability framework for NASA's Jet Propulsion Laboratory for use in space systems. Also, I work on UX/UI and back-ends for large-scale web services.


In my free time, I contribute as embedded systems developer to BREATHE, a real-time pediatric asthma evaluation platform at the LA PRISMS Center.

Alexandra Sarmiento

Alexandra Sarmiento
Visiting Assistant Project Scientist


M.S. University of Nevada, Reno
B.S. University of Nevada, Reno

Alexandra joined the Garrick Institute in June 2018 as a Visiting Assistant Project Scientist and is currently developing a comprehensive empirical database of surface ruptures for probabilistic earthquake fault displacement hazard analyses. She received a M.Sc. in Geology and B.S. in Geological Engineering from the University of Nevada, Reno and is registered in California as a Professional Engineer and Certified Engineering Geologist.

 

Hassan Masoomi

Hassan Masoomi
Postdoctoral Scholar

Ph.D. Colorado State University
M.S. Sharif University of Technology
B.S. Iran University of Science and Technology

Dr. Masoomi joined the institute as a Postdoctoral Scholar in June 2018 and currently works on developing simulation models and tools to assess and enhance the seismic resilience of communities. He received his Ph.D. in Civil Engineering from Colorado State University and his M.Sc. in Structural Engineering from Sharif University of Technology, Iran. His Ph.D. work was on developing a risk-informed decision framework to achieve resilient and sustainable buildings that meet community objectives.

Mihai Diaconeasa

Mihai Diaconeasa
Postdoctoral Scholar

Ph.D. University of California, Los Angeles
M.S. Massachusetts Institute of Technology
B.S. University College Utrecht

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 risk and 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) and the Phoenix human reliability analysis methodology and software for Japan's Nuclear Regulation Authority (NRA). He participates in the institute's collaborations with Southern Company and TerraPower on developing a regulatory compliance strategy; and with Pacific Gas and Electric Company (PG&E) on probabilistic risk assessment projects of their nuclear, electric power transmission, and enterprise assets. Moreover, he is involved in the joint ATanalytics and GIRS collaboration on developing a methodology and software platform for assessing the resilience of autonomous systems for space exploration in NASA’s SBIR program.

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 Ali 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).

Elaheh Rabiei

Elaheh Rabiei
Postdoctoral Scholar

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

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.