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Computer Vision, Machine Learning

Location:
Troy, MI
Salary:
150,000
Posted:
May 19, 2018

Contact this candidate

Resume:

Xun Ouyang (Ivan)

Work Phone 586-***-**** Email: ac5iul@r.postjobfree.com

Education Background

****/** ****/** ******** University of Science and Technology

Bachelor degree: Department of Control Science and Engineering Major: Automation

2012/01 2013/12 University of Michigan

Master degree: Department of Electrical and Computer Science Major: Computer Engineering

Research Experience (2012/01 – 2013/06)

1.TRW---driver wellness:

Face recognition and image data processing (OpenCV)

Algorithm implementation: Neural network (MATLAB) and Support Vector Machine (Python)

Vehicle mounted Radar signal analysis (MATLAB for algorithm development and analysis)

Statistic method analysis on image data

Data visualization(Tableau)

2.Ford---Autonomous driving:

Physiological data collection: Self-Built embedded system

Data collection: GPS data, camera video recording, CAN message recording, physiological signal recording

Route data processing and analysis: MATLAB

Trip modeling and simulation with GPS

Data visualization(Tableau)

Modelling, speed predicting: Neural Network

Working Experience (2013/06 – present)

Control Algorithm Strategist at Active Safety -- Advanced Technology Work Group: (2018/03 – present)

Coupler Detection

A. Data Collection: Develop prototype SW to record CAN data from vehicle, Image data from Camera.

B. Data Preprocessing: Data labelling by Python.

C. Neural Network Training: Tensorflow to train the CNN to predict the position of trailer coupler.

Lead Subsystem Validation Engineer at Chassis Electronics Validation Department, General Motors: (2017/10 – 2018/03)

dSpace modelling

A. Build dSpace model for micro auto box usage

B. CAN Fault injection test

C. CAN data collection/ Analysis

Test Procedure owner:

A. Create test procedure based on the FTS/STS/CTRS

B. Test Procedure Peer Review

Bench Testing for multiple electrical component / subsystem:

A. Front Ride Height Control

B. Four Corner Leveling

C. Semi Active Damping System

DFSS: Test automation System Development

A. Architecture design

B. Programming, building relay board: C program for relay board control, vSpy script for functional testing, Java program to manipulate Control Desk, C/VB to control INCA.

C. Validating the production

Component Validation Engineer at Active Safety & Chassis Electronics Department, General Motors: (2013/6 – 2016/9)

Product Development:

A. Specify validation deliverables in sourcing document, define the environmental test code.

B. Lead the DV, PV validation work and mainly focus on environment testing.

C. Review the test procedures, test cases, test plan, test data and specifications with supplier to make sure GM requirement was met. (validation cross reference index review )

D. Weibull Analysis on Component Test Result. Calculate test sample size required to demonstrate a reliability value at a given confidence level.

E. Project management on validation. EMC testing, review the test report of diagnostic, CAN, SW testing with Subject Matter Expert. Support SW validation and verification review, risk analysis, engineering work orders and PPAP signing off.

F. Support DFMEA and trouble shooting when failures occurred.

G. Coordinates with suppliers, design release engineer, subsystem validation engineers, vehicle performance engineer, subject matter expert, technical integration engineer, bill of material family owner.

Multiple Active Safety features and Chassis components on multiple programs :

A. Viewing system (Rear view camera, 360 degree camera, Video Processing Module)

B. Driver Monitoring System

C. Parking Assist system

D. Radar Feature Bundle (LKA, ACC, FCA, SBZA).

E. Fuel Tank Zone Module

F. Fuel Pump Power Module.

G. Integrated Chassis Control Module

H. Diesel Exhaust Fluid Controller

I. Trailer Brake Power Module

AI / ML department, General Motors: (2017/05 – 2017/06)

Low Mu detection

A. CAN data analysis – NeoVI

B. Data labelling -- Python

C. ROS data analysis, processing & synthesis – Python

Certificate

DFSS green belt

Non-Profit Organization

Treasurer & VP for Michigan Hunanese Fellow Association

Github

https://github.com/XunOuyang



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