shima imani
machine learning intern
united states
riverside
research
python, data mining, algorithms, mathematica, teaching, condensed matter physics, statistics, programming, research, physics, science, machine learning, c++, matlab, latex, c (programming language, linux, deep learning, time series analysis
Experience
machine learning intern
tesla
graduate research and teaching assistant
university of california, riverside
My work focused on Weyl semimetals which are massless electrons living in three dimensions. I tried to calculate the current proportional to the magnetic field in Weyl semimetals with nodes separated in energy space.
data science intern
uptake
Using machine learning to build the forecasting models for prediction of time series data
graduate studenst researcher
ucr department of electrical and computer engineering
We introduced time series snippets, a novel representation of typical time series subsequences. Beyond their utility for visualizing and summarizing massive time series collections, we show that time series snippets have utility for high-level comparison of large time series collections.
Education
university of california, riverside
physics
sharif university of technology
physics
university of california, riverside
computer science
shima imani's Contact Information
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