AI Sensing Analytics uses machine learning to interpret data from sensors, such as fiber-optic, acoustic, infrared, or radio-frequency systems. Models filter noise, detect events, classify sources, and combine information from several sensors into usable alerts. This turns raw signals into decisions for infrastructure monitoring, transportation, public safety, and smart cities. Challenges include limited labeled data, diverse environments, and the need for real-time processing.
Dr. Yue Tian leads the new Optical Sensing and Solutions department at NEC Laboratories America. Learn about his background, the department’s likely research agenda in fiber sensing, AI analytics, and grid monitoring, plus the infrastructure trends driving demand for this work.