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Chengyuan (Enzo) ZHANG

​I'm a Ph.D. student in the Department of Civil Engineering, McGill University.  My research interests are machine learning with applications in micro/macro-driving behavior analysis, traffic scenario pattern recognition, and multi-agent interaction.

This website is no longer updated (Dec. 2022).

Please visit my new personal page:

https://chengyuan-zhang.github.io/

FEATURED RESEARCH

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  • Multi-Vehicle Interaction Modeling Based on Traffic Primitives. 
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  • Imitating Human-Driver Behaviors in Complicated Urban Scenarios.
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  • DeeCamp 2019 (Outstanding Team Award & Best Application Award): Analysis of Shopping Behaviors in Stores. [demo]
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  • (First Prize of 2018 National Mechanical Innovation Competition) An Efficient Parking Solution: A Cam-Linkage Double-Parallelogram Mechanism-Based 1-DOF Stack Parking System. [demo]
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  • Chaotic Behavior and Feedback Control of Magnetorheological Suspension System with Fractional-Order Derivative.
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  • Formula SAE - Transmission Group​
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THANKS & FUNDINGS

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IVADO MSc Excellence Scholarships
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FRQNT Master's scholarship
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CIRRELT Master's scholarship
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Mitacs Globalink Research Award
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