Xiaojun (Tony) Li

*** **** **, *** **** COLLEGE STATION, TX 77840 979-***-**** acwf1j@r.postjobfree.com

SUMMARY

Object: Seeking an internship/fulltime opportunity. Available after September, graduate within 2016

PhD candidate, versatile Engineer in dynamics, mechatronics and control system design;

4 years of design, develop and commission of cutting-edge electromechanical products;

A real doer and maker: build and maglev one of the largest energy storage flywheels in the world;

Multitasks and time management: lead two projects and involved with another two;

SKILLS

systems dynamics modeling, rapid controller prototyping: Simulink dSPACE Python Script

embedded control system: FPGA DSP embedded C

Finite Element Analysis: ANSYS (Maxwell, Mechanical, Thermal & Fluent) Matlab (mechanical)

signal processing, vibration analysis, intelligent diagnosis: LabVIEW neural networks fuzzy logic

SOFTWARE

Matlab/Simulink (sfunction), dSPACE, LabVIEW, ANSYS, Solidworks, C/C++, Quartus, VHDL, Altium,

XLTRC/XLRotor, VB, MS Office (MARCO), VRML/Web3D, Python and Latex

EDUCATION

Texas A&M University, College Station, Texas

PhD. Mechanical Engineering (expt. 2016), focus on dynamics and control, 3.8/4.0 (core course 4.0/4.0)

PATENT

-One US invention disclosure for magnetic actuator design submitted

-Granted: Field programmable gate array (FPGA) control system development platform (CN 102591200 A)

EXPERIENCE

Texas A&M University, College Station, Texas 2012 – Present

Graduate Research Assistant

Lead graduate student in the next-generation maglev flywheel energy storage system ($700K+).

Field commission: successful building of the 6ton flywheel system and maglev at a 50/1000” gap.

Embedded feedback control algorithm (multi-variable) and HMI design using dSPACE.

High fidelity electromechanical system simulation code in Matlab using finite element methods.

Lead a team (3~ 4 lab assistants) in assembly and testing components.

Lead student in a turbo machinery data acquisition, calibration and diagnosis software/hardware. ($80k+)

Design of intelligent machinery fault diagnosis software based artificial neural networks

Design and build touch panel based data acquisition system with sensors, HMI.

Code verification by experiments; presentation and technique manual for sponsors

South China University of Technology, Guangzhou, China 2009 – 2012

Graduate Research Assistant

Design embedded control system for robots on FPGA and DSP. Improve algorithm efficiency on FGPA by revised distributed arithmetic.

Design a virtual reality parallel robot (Stewart platform) simulation code by VRML and VB

HONORS

Charles W Crawford Graduate Fellowship, 2012-2013, Mechanical Engineering, Texas A&M

Altera National Digital Design Article Contest (2nd place), 2012, Altera Inc Shanghai

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