Aueaphum Aueawatthanaphisut

Aueaphum Aueawatthanaphisut is a lecturer, researcher, and technology entrepreneur specializing in artificial intelligence, intelligent sensing systems, and computational engineering. He received his education in electrical and control engineering, with research interests spanning computer vision, biomechanics, embedded AI, and digital health technologies. His work focuses on developing real-time intelligent systems that integrate machine learning, human motion analysis, and cyber-physical modeling to support healthcare innovation, assistive technologies, and smart robotic applications. He has led and contributed to multiple interdisciplinary projects involving wearable sensing, digital twin modeling, rehabilitation engineering, and AI-driven diagnostic platforms. In addition to academic research, he is actively engaged in innovation development, startup collaboration, and technology transfer initiatives aimed at translating advanced AI research into practical societal impact. His long-term vision centers on advancing human-centric intelligent systems that enhance quality of life through scalable, real-world AI solutions.