Electrical Engineer

Highlights of Qualifications

Equipped with thorough knowledge of electrical design and control engineering with exceptional CAD skills gained through education and professional work experience.

Keen communication skills with demonstrated talent in the design of hardware and software of embedded systems, power electronics and motor drive systems.

Certified LabVIEW Associate Developer.

Education

The Pennsylvania State University – State College, Pennsylvania May 2016

Currently pursuing a Doctor of Philosophy in Electrical Engineering

Research Projects:

oOptimal Design of Power Converter System using Genetic Algorithm

oEnhancements to Floquet Theory based Analysis and Design of Power Converter Systems

oOptimal Management of Energy Consumption for Data Centers

Best paper award at 2012 College of Engineering Research Symposium

oDesigned Path Planning, GPS Mapping, and LIDAR Lab and authored lab procedures

Teaching Assistant:

EE 350 Continuous-time Linear Systems EE 351 Discrete-time Linear Systems EE387 Energy Conversion EE 300W Design Process EE413 Power Electronics EE488 Power System Analysis

Relevant Coursework: Digital Control Systems, Linear Systems Control, Robust Control, Nonlinear Control and Stability, Optimal Control in Energy Systems, Electric Machinery and Drives, Mechatronics, Signal Processing

Imperial College London– London, United Kingdom 2008

Master of Science in Control Systems with MERIT

Masters Thesis: “Stochastic Decision Making in Missile Guidance Systems”

Research Projects:

oFeedback control for 2-degree inverted pendulum to asymptotically track a reference signal

oFault signals Detection via an optimal state space realization for linear time invariant system

Relevant Coursework: Advanced Process Control, Discrete Time System, Estimation and Fault Detection, Identification, Multivariable Design, Nonlinear Systems, Optimization

University of Science and Technology Beijing – Beijing, China 2007

Bachelor of Engineering in Automation

Bachelor’s Thesis: “Predicting Model of Heating Stove Based on Neural Network”

Relevant Coursework: Motor Engineering and Power Driving, Electric Transmission, Automatic Inspecting & Measuring Technique, Computer Network, Database, Visualized Programming Language

Work Experience

LiaoNing Wish Information Technology C., Ltd. – Jinzhou, China 2008 - 2010

Electrical Engineer

Brought on by this company offering electrical and electronics engineering services to develop industrial embedded systems including software design, design of control algorithms and handle contract negotiation.

Pioneered, designed and developed the controller for independently driven wheel electric vehicles that was launched on a nationwide basis and participated in the 2010 Beijing International Automotive Exhibition.

Key player in the design of a controller for electric bicycle that eliminated $3million in production line costs.

Jinan Iron & Steel Corporation – Jinan, China 2006

Intern

Participated in an internship with one of China’s leading iron and steel corporations, monitoring the temperature of heating stoves in the forging plant and tracking information.

Technical Skills

Matlab

Control Design

C/C++

Signal Processing

Motor Drive

LabVIEW

Embedded System

VHDL

Publications

HE Mu, “Observer-based, Adaptive Neural Networks Backstepping Output Feedback Control,” Journal of Liaoning University of Technology (Natural Science Edition), 1674-3261(2009)03-0197-07

LI Li, ZHANG Qing-ling, HE Mu, “H-infinity Controller Design Based on Observers for T-S Fuzzy Descriptor Systems," Journal of Liaoning University of Technology (Natural Science Edition), 1674-3261(2009)04-0262-06

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