Zijie Mei's Email & Phone - RocketBoots Pty Limited.

Zijie Mei's Work Experience

RocketBoots Pty Limited.

Software Engineer

November 2014 to Present

Sydney Area, Australia

rUNSWift-RoboCup Soccer Stand Platform League

Team Member

March 2014 to July 2014

Sydney Area, Australia

RoboCup Simulation League

Member of team GDUT

April 2012 to July 2013

Guangzhou, Guangdong, China

Zijie Mei's Education

University of New South Wales

Master of Computer Science Artificial Intelligence Information Technology

2014 to 2015

Guangdong University of Technology

Bachelor of Engineering (BEng) Automation

2009 to 2013

Zijie Mei's Professional Skills Radar Chart

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Competent

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Thoughtful

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Based on our findings, Zijie Mei is ...

52% Left Brained

48% Right Brained

Zijie Mei's Estimated Salary Range

About Zijie Mei's Current Company

RocketBoots Pty Limited.

Developed Computer Vision and Machine Learning algorithm for R&D department and applying to Surveillance Camera to track pedestrian and count the number of people crossing the area under outdoor environment with overall accuracy over 85%. The whole project is developed using Support Vector Machine (SVM) technique, OpenCV, Scikit-learn and Python.

Frequently Asked Questions about Zijie Mei

What company does Zijie Mei work for?

Zijie Mei works for RocketBoots Pty Limited.

What is Zijie Mei's role at RocketBoots Pty Limited.?

Zijie Mei is Software Engineer

What is Zijie Mei's personal email address?

Zijie Mei's personal email address is zi****[email protected]

What is Zijie Mei's business email address?

Zijie Mei's business email addresses are not available

What is Zijie Mei's Phone Number?

Zijie Mei's phone () * *** 112

About Zijie Mei

📖 Summary

Keen on study and research Artificial Intelligence including Machine Learning, Robotics, Muliti-agent system in both academic and pratice approaches.Software Engineer @ Developed Computer Vision and Machine Learning algorithm for R&D department and applying to Surveillance Camera to track pedestrian and count the number of people crossing the area under outdoor environment with overall accuracy over 85%. The whole project is developed using Support Vector Machine (SVM) technique, OpenCV, Scikit-learn and Python. From November 2014 to Present (1 year) Sydney Area, AustraliaTeam Member @ Designed and implemented new codebase architecture and behavior strategy especially applied on Goalie robot. Developed motion planning strategy, which enable robot pick up ball in the game, which is still a big challenge among the League. The whole project is developed under Nao robot and Linux platform using C++ and Python. Achievement of rUNSWift in RoboCup: Champion in RoboCup World 2014 in Brazil with only 1 goal against during the tournament From March 2014 to July 2014 (5 months) Sydney Area, AustraliaMember of team GDUT @ Developed and improved multi agent planning strategy with adopting A* search to improve state search efficiency, especially on passing and shooting module using C++ under Linux environment. Soccer agent’s passing accurate increased 20% and Score rate rose 10%. Achievements of GDUT in RoboCup: 5th place in RoboCup World 2012 in Mexico First prize in RoboCup China 2013 in Anhui From April 2012 to July 2013 (1 year 4 months) Guangzhou, Guangdong, ChinaMachine Vision Enginner Trainee @ Participate to develop two machine vision system projects during the internship. One was used to detect the polarity of an element used in common plug sockets using the DALSA BOA intelligence camera with accuracy of this vision detection system over 90% and this project was developed for ABB Company. Another was used to detect the direction of IC parts on a PCB board for Jiepu Company in Dongguan and developed the vision algorithm using Halcon software and UI with VC in this project. From July 2012 to September 2012 (3 months) Guangzhou ChinaMaster of Computer Science, Artificial Intelligence, Information Technology @ University of New South Wales From 2014 to 2015 Bachelor of Engineering (BEng), Automation @ Guangdong University of Technology From 2009 to 2013 Zijie Mei is skilled in: Machine Learning, Robotics, C++, Linux, Motion Control, Matlab, Algorithms, Control Theory, Image Processing, Computer Vision

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