Kezhen Xu

202-***-**** ● **** Miner St., Greenbelt, MD, 20770 ● adcjow@r.postjobfree.com

Eligible to work in the US without Sponsorship (EAD)

Electrical Engineer

education

University of Maryland, College Park, A. James Clark School of Engineering College Park, MD, USA

Master of Science in Electrical Engineering, Dec. 2019

Teaching Assistant for an undergraduate course.

Thesis Research: Surface acoustic wave (SAW) propagation in nano-structured devices.

Core Courses: Solid state electronics, semiconductor device & technology, Integrated circuit design & analysis, Electrical network theory, IC fabrication Lab, Power systems, Quantum Phenomena in Electrical Engineering.

Michigan Technological University Houghton, MI, USA

Bachelor of Science, Electrical Engineering, GPA 3.76 Dec. 2017

Magna cum laude

Dean’s List, 2015~2016, 2016 ~ 2017

experience

Ford Motor Company Dearborn, MI, USA

Design Engineer May 2016 – Aug 2016

Ford is a very famous and common automobile company in USA. It is the second largest U.S.based automaker.

Project 1, EV Smart Charge Project, Power System Design

Aimed to complete the power distribution system for the EV smart charging.

Proposed two circuit schemes for a part of the distribution system after thoroughly considering the different power rate and power efficiency requirements.

Project 2, Client Phone App Design

Aimed to build a phone app to track the charging status and record charging information for customers.

Designed the log-in interfaces of the phone app and response activities for the sever.

Used Java to code the phone app, and used python to code the server’s activities.

Thesis Research

Surface acoustic wave (saw) propagation in nano-structured devices May 2019 – 12 2019

This thesis was based on the most recent research works on semiconductor sensors. It used actual experimental data to build the model.

Developed a model of the mass sensitivity of surface acoustic wave (SAW) devices with two different piezoelectric semiconductors, ZnO/SiO2/Si and GaN/SiO2/Si Love mode SAW sensors.

Found that the maximum mass sensitivity of GaN-based devices is 10% better than the maximum mass sensitivity of ZnO-based devices

Showed that optimal mass sensitivity for Love mode sensor is achieved at an optimum wavelength 10 µm and a layer thickness of 3.4 µm.

project

Manufacture of Digital Thermometer Sep. 2016 – Dec. 2016

This thermometer required the full usage of GPIO port, and ADC function. Used a EduBased board and a Tiva C evaluation kit to build the thermometer.

Applied analog-to-digital (ADC) conversion to measure the room temperature and display it on a LCD screen. Calculated the voltage to temperature conversion of a lm45 temperature sensor.

Used timers and interrupts to periodically refresh the temperature display.

Shuttle Display Board May 2017 - Aug. 2017

• Brainstormed a shuttle display board to display the arrival time and the current location of the schools’ shuttle.

• Built the arrival-time board using light strips, and Arduino UNO board.

• Designed the display circuit using EAGLE. Three versions of circuit had been made and tested, and the best one was used to build the final display board. The design fully considered the combinations of different components and energy consumption. Soldered the display board by our team.

Manufacture of NMOS Transistors Aug. 2018 – Dec. 2018

Manufacture NMOS transistors and learn the characterization of the transistors on the manufactured wafer.

Used photolithography, oxide etching and oxide deposition technology.

Measured and tested the transistors, and most of them are fabricated properly and worked as designed.

Skills

Skills: MATLAB, SImulink, EAGLE PCB, AutoCAD, Mathematica, OrCAD, Android Studio, NI Multisim, SublimeText, PSpice, Microsoft office tools, Mathematica, PCB layout,Soldering, Analog Design, Good written and oral communication skill, Digital circuit design, Good Problem Solving skill.

Programming language: C, Java, Verilog.

Language: English (proficient), Mandarin (native speaker)

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