Tan Nguyen is a Head of Signal Processing and technical team lead with 8 years of experience bridging AI, computer vision, and embedded systems to build real-time image-analysis solutions. Based in Toulouse, he brings a research-driven approach—holding advanced degrees and pursuing a PhD—plus hands-on product experience from building a Raspberry Pi human-recognition system to hybrid wavelet/CNN models that earned a conference runner-up paper. He teaches and mentors computer science students, translating academic methods into practical labs and supervised projects in vision and signal processing. Passionate about autonomous systems, he focuses on integrating ML into devices and commercial products, combining algorithmic depth with systems-level engineering. Notably, his background spans both industrial deployments and award-winning research, positioning him to lead teams that move novel vision models from prototype to fielded applications.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Sorbonne Paris Nord
High School Diploma, High School Diploma at Nguyen Tran High School
Master's degree, Master's degree at Master Ingénierie et Innovation en Images et Réseaux (3IR)
Bachelor's degree - Honor program Electrical Electronics and Communications Engineering, Bachelor's degree - Honor program Electrical Electronics and Communications Engineering at Ho Chi Minh City University of Technology
Exercises in the course "Artificial Intelligence in Control Engineering" 2018, Faculty of Electrical & Electronics Engineering, HoChiMinh city University of Technology.
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Tan Nguyen - Head Of Signal Processing at TORUS AI