Yasir Latif is a Senior Research Associate and CTO with 13 years of expertise at the intersection of robotic vision, SLAM, and applied machine learning, currently based in Adelaide. He holds a PhD (cum laude) from Universidad de Zaragoza and has research experience at MIT, Imperial College London, and TUM, blending deep academic rigor with practical, industry-focused delivery. At the Australian Institute for Machine Learning he has driven advanced perception research since 2015 while leading SpaceProtocol’s technology strategy as CTO since 2023. Known for translating complex SLAM research into real-world systems, he brings both hands-on algorithm development and higher-level system architecture skills. An understated strength is his international collaboration background across Europe, the US and Australia, which enables rapid integration of cutting-edge research into commercial products.
13 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Computer Science and Systems, cum laude, Doctor of Philosophy (PhD), Computer Science and Systems, cum laude at Universidad de Zaragoza
MSCE, Communication Systems, MSCE, Communication Systems at Technical University of Munich
BS, Computer System Engineering, BS, Computer System Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Code for our RSS/IJRR Paper : Robust Loop Closing over Time
Contributions:38 commits, 2 pushes, 1 comment in 9 years 11 months
rssslam-algorithmsclosingrubyloop
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