UMBC Professor Roberto Yus Leads Research to Bridge Gap Between Raw Sensor Data and Human Understanding in IoT
Roberto Yus, an assistant professor in computer science and electrical engineering at the University of Maryland, Baltimore County (UMBC), is leading research to bridge the gap between the raw data generated by billions of internet-connected 'smart' devices and the high-level information humans need. Despite the proliferation of devices like video doorbells and automated thermostats, much of the data they produce remains unused due to the complexity of extracting meaningful insights. Yus's research, supported by a National Science Foundation (NSF) CAREER award, combines AI and data management techniques to create a 'sensorless' Internet of Things (IoT). This system aims to automatically identify relevant sensors, apply AI models, and combine results to answer human-centric questions, such as a school principal inquiring about classroom ventilation or a homeowner assessing energy efficiency, without requiring users to interact directly with individual sensors.
