Prof. Roberto Yus receives NSF CAREER award: Towards a Sensorless Internet of Things through Sensor Data Management Abstraction
UMBC CSEE Assistant Professor Roberto Yus received a prestigious NSF CAREER Award to support his research on democratizing the Internet of Things (IoT) by introducing a semantic abstraction framework that hides the complexity of raw sensor data. While IoT devices collect vast amounts of valuable data, most organizations struggle to use it because transforming raw readings into actionable insights requires deep technical expertise in sensor selection and AI modeling. To bridge this gap, his research enables users to directly query high-level concepts, such as occupancy or energy consumption, while the computer system automatically manages the underlying sensors, machine learning models, and data pipelines to find the answers.