Laura PO

Laura PO is an Associate Professor in the Department of Engineering 'Enzo Ferrari' at the University of Modena and Reggio Emilia. Her work focuses on environmental informatics, sensor networks, and data-driven solutions for smart cities. She leads research in air quality monitoring, traffic analysis, and crime event extraction using advanced techniques like machine learning and knowledge graphs.

Research Interests: Laura specializes in sensor data calibration (e.g., HypeAIR framework for PM sensors), anomaly detection in sensor networks, and semantic modeling for urban systems. Her interdisciplinary projects combine environmental engineering with computer science, addressing challenges like hygroscopicity correction in low-cost sensors and real-time traffic flow simulations.

Key Projects: She is a principal investigator in the TRAFAIR EU project, which integrates traffic and air quality data to create predictive models and visualization tools. Her contributions include the AirMLP neural network for PM2.5 correction and the CEM ontology for crime event analysis. She collaborates with institutions like Wiseair SRL and Arpa Piemonte to deploy sensor networks and validate environmental data.

Technical Contributions: Laura's work spans frameworks like H-BOLD for Linked Data visualization, the DICE crime news dataset, and the SenseBoard dashboard for sensor management. She emphasizes reproducibility, publishing code (e.g., AirMLP source code) and datasets (e.g., SPS30 sensor data).

Collaborations: Her research involves European partners in Spain (Universidad de Zaragoza) and Italy, addressing urban sustainability through sensor networks, traffic modeling, and open data integration. She also contributes to open-source platforms like the TRAFAIR air quality dashboard and semantic traffic data frameworks.