Assistant Engineering

Amir Motaei

Cell:352-***-**** j ****.******@*****.***

Objective Seeking a full-time position in the areas of machine learning. Interests Time series analysis

Machine learning

Stochastic modeling

Optimization

Education University of Florida, Gainesville, FL December 2016 Ph.D. in Industrial and Systems Engineering

Sharif University of Technology, Tehran, Iran Winter 2011 M.S. in Industrial Engineering

Sharif University of Technology, Tehran, Iran Summer 2008 B.S. in Industrial Engineering

Selected

Graduate

Courses

Sharif University of Technology, Tehran, Iran

Design of Experiments

Regression

Advanced Linear Programming

University of Florida, Gainesville, FL

Linear Programming and Network Optimization, ESI6417

Analysis of Algorithms, COT5405

Probability Theory 1 and 2, STA7466, STA7467

Stochastic Models and Analysis, ESI6546

Working

Experience

Shands hospital, Gainesville, FL February 2017- Now OPS, Data scientist: Using machine learning techniques to nd survival rate of surg- eries.

Research

Experience

University of Florida, Gainesville, FL August 2011-December 2016 Research Assistant, Department of Industrial and Systems Engineering Sharif University of Technology, Tehran, Iran September 2008-January 2011 Research Assistant, Department of Industrial and Systems Engineering

Stochastic Processes

{ Obtained an e ective approximation for the machine-repair model via heavy- tra c limits.

{ Obtained an e ective approximation for the multi-class priority model via heavy-tra c limits.

{ Found a relationship between closed and open queueing systems.

{ Developed a xed-point technique for analyzing the general service policy in the queueing theory.

Discrete Event Simulation

{ Developed a Bayesian method that accounts in the a ects of errors in the ap- proximations of input parameters: Instead of point-approximation for input parameters, this technique uses an interval-estimation of input parameters and then utilizes a sampling technique to simulate output. This technique also provides some insight on the analysis of output.

Applied Statistics

{ Developed a Bayesian method to construct con dence intervals.

{ Found the con dence intervals of the weibull distribution which works for type I censored data, or type II censored date, or data without censoring. Teaching

Experience

University of Florida, Gainesville,FL August 2011-December 2016 Teaching Assistant, Department of Industrial and Systems Engineering Sharif University of Technology, Tehran, Iran Fall 2008 Teaching Assistant, Department of Industrial and Systems Engineering

Teaching Assistant, Probability Theory and its Applications

Teaching Assistant, ESI4312, Operations Research 1

Teaching Assistant, ESI4313, Operations Research 2

Teaching Assistant, ESI4327C, Matrix and Numerical Methods in Systems Engi- neering

Publications A. Motaei and S.T.A. Niaki and N. Fard, Bayes interval estimation on the param- eters of the Weibull distribution for complete and censored tests, International Journal of Engineering Transactions C: Aspects, 26(9), 985{996, 2013.

P. Mom cilovi c and A. Motaei, An analysis of a large-scale machine-repair model,submitted to Stochastic Systems.

P. Mom cilovi c and A. Motaei, QED limits for many-server systems under a pri- ority policy, submitted to Queueing Systems.

Academic

Honors

Fellowship Award August 2011-December 2016

University of Florida, Gainesville, FL

Department of Industrial and Systems Engineering

Travel Grant October 2015

University of Florida, Gainesville, FL

Computer

Skills

Languages: C/C++

Software: MATLAB, Python, R, SQL

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