Björnborg Nguyen is a PhD student in Adaptive Systems at Chalmers with a decade of hands-on experience in computer vision and robot navigation for autonomous vehicles. His research focuses on applying vision-based methods to real-world navigation problems while contributing to vehicle hardware integration and the OpenDLV ecosystem. He has practical experience building sensor platforms (LIDAR, cameras, IMUs) and V2V data links from a project assistant role that bridged low-level hardware and software. As a teaching assistant he guided students on autonomous robot design and low-level control, reflecting a strong mix of research, development, and mentorship. Based in Gothenburg, he pairs rigorous academic training in complex adaptive systems and engineering physics with practical validation work such as neuromuscular steering studies, highlighting a systems-level approach to autonomy.
10 years of coding experience
Master of Science (MSc), Complex adaptive systems, Master of Science (MSc), Complex adaptive systems at Chalmers tekniska högskola
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Björnborg Nguyen - PHD Student at Chalmers tekniska högskola