Mohammadjavad Ghorbanalivakili is a PhD researcher at York University specializing in rail scene understanding and autonomous rail path proposal generation using camera and LiDAR data, contributing to the OnTRAC project supported by AVIN and Thales Canada. With 11 years of experience across robotics, mechanical design, and computer vision, he blends deep learning research with practical sensor fusion for real-world train autonomy. His background includes developing smart agricultural robots and vibration-durability fixtures, reflecting a knack for applied sensing and mechatronics. Outside research he’s a WITS-certified fitness coach and HIIT instructor, bringing discipline in human performance and communication to team settings. Notably, he pairs high academic achievement from Sharif and Tehran with hands-on implementation experience, making him adept at moving prototypes toward operational systems.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, 16.82/20, Bachelor's degree, Mechanical Engineering, 16.82/20 at University of Tehran
Doctor of Philosophy - PhD, Earth and Space Science and Engineering, Doctor of Philosophy - PhD, Earth and Space Science and Engineering at York University
Master's degree, Mechanical Engineering, 18.50/20, Master's degree, Mechanical Engineering, 18.50/20 at Sharif University of Technology
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