Electrical Engineering

Bin Jie Lu

480-***-**** • ac86xc@r.postjobfree.com • linkedin.com/in/binjie-lu-43829292

SUMMARY

BSE Electrical Engineering (Electrical Power and Energy System) and MSE Electrical Engineering with focus in Signal Processing and Computer Vision.

EDUCATION

B.S.E., Electrical Engineering (Electrical Power and Energy System) Graduated May 2015

Arizona State University, Tempe, AZ 3.32 GPA

M.S.E., Electrical Engineering (Signal Processing and Computer vision) Graduating May 2019

Arizona State University, Tempe, AZ 3.52 GPA

TECHNICAL SKILLS

Data Analysis and Statistics: R-Studio

Design and Applications: MATLAB

Programming: Python, Java, C++

Other: Microsoft Excel, PowerPoint, Word, Project

Certifications: NCEES FE Certificate: The Fundamentals of Engineering (FE)

PROFESSIONAL EXPERIENCE

PCT International Inc, Mesa, AZ: Radio Frequency (RF) Engineering Technician 9/2016 – 12/2017

Tested new RF product with new procedure increased time efficiency by 22%

Developed and Updated the Industrial benchmarked test procedure

Increased data analysis of testing result accuracy and efficiency by 10% and 20% respectively by creating new template and method

Researched and Developed testing fixture for new test requirement for customers (COMCAST, Time Warner, etc.)

ACADEMIC PROJECTS

ASU, Senior Capstone Design Project Spring 2015

Collaborated in a team of three to design and develop Automated Vent for AC unit

Accomplished cost estimation and time arrangement milestones using Microsoft Excel

Developed automated Vent System to equalize the temperature throughout the house in C language, increased energy efficiency of the house by 15%

Created detailed project report in MS Word

ASU, Application of Object Detection in Video Fall 2018

Led team of two to design and develop an algorithm to assist the campus traffic

Utilized the Convolutional Neural Network technique with TensorFlow to detect the object (student) and optical flow to tracking object

Designed an algorithm that will detect, count and track the object within the vision region

ASU, Application of Panorama Fall 2018

Developed an algorithm to do image stitching in Python with OpenCV

Utilized the SIFT, FAST and LUCID to extract local features and feature descriptor

Designed an algorithm will do multi-image stitching and smoothing which is the fundamental of Panorama.

ASU, Application of Deep Learning in Media Processing Spring 2019

Implement the basic machine learning data fitting (training) with Least Square Fitting, K-Nearest neighbors (KNN), Logistic Regression and Support Vector Machine (SVM)

Understand the fundamental behind every method and design the algorithm with forward function, loss function, gradient loss function with respect to weights and bias, fit function and predict function.

Implement 5-layer NN (including Fully Connected Layer, Relu layer, Softmax Layer and Cross Entropy Layer) with CIFAR100 dataset, established the data training and weights optimization

OTHER WORK EXPERIENCE

South Mountain Community College, Phoenix, AZ: Math and Science Tutor 9/2010 – 9/2011

Tutor community college students in math and engineering subjects

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