TINA MIRZAEI

*** ********** ***, *********, ** **521

951-***-**** adjocz@r.postjobfree.com

EDUCATION

University of California, Riverside

Master’s in Computer Science 2019 - 2020

PhD Candidate in Materials Science and Engineering 2017 - present Master’s in Materials Science and Engineering 2017 - 2019 University of Tehran

Bachelor’s in Materials Science (Computational) 2012 - 2016 RESEARCH INTEREST

Big Data Analysis, Management & Visualization

Model Forecasting by Machine Learning (Clustering, Classi cation & Regression) Time Series & Statistical Modeling

SELECTED ACADEMIC COURSES

Arti cial Intelligence, Design and Analysis of Algorithms, Machine Learning, Data Mining Techniques, Big-Data Management, Advanced Computer Architecture, Distributed Systems, Computer Security, Numerical Analysis, Advanced Operating Systems, High Performance Computing C++ programming. GPA: 3.81

SELECTED ACADEMIC PROJECTS

- Identifying Defects in Amorphous Structures

Comparing structure classi cation output using ve di erent machine learning methods including LR, KNN, decision tree, random forests, SVM by searching through big data sets of BMG packing con gurations.

Statistical analysis were created for evaluating local strength and outliers. (Coding in Python)

- Health Correlation Analysis

The probability of heart attacks in people su ering from diabetes and high blood pressure by analyz- ing large-scale patient data sets.

Developing linear/nonlinear robust optimization models under uncertainties.

- Email Classi cation and Spam Detection

Applying supervised learning approach and non-linear multi class SVM classi er, to classify high dimensional email messages into several categories.

- 3D Network Building and Visualization

By implementing Spark and MapReduce, 2D road network datasets collected by web scraping tech- niques converted to 3D models using Delaunay Triangulation. COMPUTER AND TECHNICAL SKILLS

Software and Languages Python, R, Spark, Hadoop, SQL, Mathematica, MS O ce, Latex, Matlab, Open Re ne, C++, Java, Bash (Shell Scripting), AutoCad, MapReduce, SigmaPlot

Operating Systems Unix, Windows, MacOS

ACADEMIC ACHIEVEMENTS

Goodarzi Grant for Women in Computer Science (2020)

NASA FIELDS Graduate Student Fellowship in Big Data (2019) Funded by NASA’s Jet Propulsion Laboratory(JPL). FIELDS Graduate Student Fellowship funds graduate students, particularly underrepresented minorities, performing data intensive research and dealing with big data and visualization. Graduate fellows receive nancial support for one year, as well as opportunities to collaborate with a JPL science sta member.

Integrated Computational Materials Education Summer School Scholarship (2019) Integrating multi-scales models using optimization techniques to enhance the manufacturing yield by cost and time saving. (code in Python)

Stochastic Approaches to Structure Calculations Summer School Scholarship (2019) Applied statistical sampling techniques (e.g. Monte Carlo) and the path integral formalism while mining and analyzing large data sets.

Dean’s Distinguished Fellowship at UCR (2017)

PUBLICATIONS

Tina Mirzaie, Hamed Mirzadeh, Jose-Maria Cabrera, A simple Zerilli{Armstrong constitutive equa- tion for modeling and prediction of hot deformation ow stress of steels, Mechanics of Materials, 2016.

Tina Mirzaie, Hamed Mirzadeh, Meysam Naghizadeh, Contribution of Di erent Hardening Mecha- nisms during Cold Working of AISI 304L Austenitic Stainless Steel, Archives of Metallurgy and Mate- rials, 2018.

EDITORIAL ACTIVITY

Journal of Computational Materials Science 2019

SUMMER SCHOOLS

1. Integrated Computational Materials Education, University of Michigan June 2019 2. Stochastic Approaches To Electronic Structure Calculations, University of Pittsburgh July 2019

Contact this candidate