Ruihao Zeng

Tutor at University of Sydney

Sydney, New South Wales, Australia
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Summary

👤
Senior
🎓
Top School
Ruihao Zeng is a PhD candidate and tutor at the University of Sydney with a decade of hands-on experience spanning transportation research, ITS and autonomous vehicle systems, and software development. He supervises capstone projects and has applied his engineering background to practical initiatives such as an AR city program, bridging academic research with applied AR/IoT implementations. Trained in data modeling and database administration, Ruihao combines rigorous quantitative skills with systems-thinking to tackle mobility management challenges. Based in Sydney, he brings both teaching and industry internship experience to interdisciplinary teams, and often translates complex transportation problems into deployable prototypes. Notably, his profile reflects a blend of scholarly depth and product-focused engineering that helps move projects from concept to real-world trials.
code10 years of coding experience
job1 year of employment as a software developer
bookBachelor of Engineering - BE, Data Modeling/Warehousing and Database Administration, 1/58, Bachelor of Engineering - BE, Data Modeling/Warehousing and Database Administration, 1/58 at Fujian Normal University
bookThe University of Sydney
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Github Skills (55)

homography10
sift9
python9
diffusion-mri9
medical-imaging8
deep-learning8
tensorflow8
machine-learning8
denoising8
super-resolution8
tractography8
data-science7
trading7
pytorch7
stock7

Programming languages (4)

C++Jupyter NotebookMATLABPython

Github contributions (5)

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ruizengalways/PFNet

Oct 2018 - Jun 2019

Code Repo of 'Rethinking Planar Homography Estimation Using Perspective Fields'
Contributions:8 commits, 7 pushes, 1 branch in 8 months
homographyhomographynethomography-estimator
ruizengalways/FOD-Net

Nov 2020 - Apr 2022

FOD-Net: A Deep Learning Method for Fiber Orientation Distribution Angular Super Resolution
Contributions:16 commits, 16 pushes, 1 branch in 1 year 5 months
angulardeep-learningsuper-resolutiondiffusion-mrimedical-imaging
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