Summary
Huynh Van Luong is a data scientist with nine years of experience applying machine learning, sensor signal processing, and image/video analysis to real-world problems. Currently at AP Sensing, he develops analytics for distributed sensing data, translating high-volume time-series signals into actionable insights. His career blends academic depth—a PhD in Visual Data Analysis from DTU and a Humboldt Research Fellowship focusing on compressive PCA and sensing—with hands-on system building for object detection, tracking, and surveillance at research institutions and startups. He has tackled medical and embedded imaging challenges earlier in his career, giving him a strong foundation in low-level signal processing and deployment on constrained hardware. Based in Stuttgart, he combines rigorous research methods with practical engineering to move algorithms from prototype to production in sensing and video domains. A less obvious strength is his cross-disciplinary knack for compressive methods that reduce data dimensionality while preserving fidelity, enabling scalable analytics on streaming sensor data.
9 years of coding experience
8 years of employment as a software developer
B.E, Electronics and Telecommunications, B.E, Electronics and Telecommunications at Hanoi University of Science and Technology
Technical University of Denmark
M.Sc, Computer Engineering and Information Technology, M.Sc, Computer Engineering and Information Technology at University of Ulsan
Vietnamese, English, German