PF
Pau Ferrer-Cid
Universitat Politècnica de Catalunya
Research areas: Environmental Science · Environmental Engineering · Air Quality Monitoring and Forecasting · Air Quality and Health Impacts · Atmospheric chemistry and aerosols
Employment
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Universitat Politècnica de Catalunya Assistant Professor2025 - Present
Education
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Universitat Politècnica de Catalunya Master in Research in Data Science2017 - 2019
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Universitat Politècnica de Catalunya Informatics Engineering2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- W-UDDR: A Unified Framework for Automated Drift Detection in IoT-based Air Quality Monitoring Systems Save
- Evaluating missing value imputation strategies to enhance IoT data availability in the edge Save
- Regional aerosol hygroscopicity influences radiative forcing globally Save
- Optimal sizing and placement of sensor networks with coordinate error variance constraint Save
- ESOD: An Edge Streaming Data Outlier Detection Framework for IoT Platforms Save
- A review of graph-powered data quality applications for IoT monitoring sensor networks Save
- Pattern-Based Attention Recurrent Autoencoder for Anomaly Detection in Air Quality Sensor Networks Save
- Estimating black carbon levels using machine learning models in high-concentration regions Save
- Virtual sensor-based proxy for black carbon estimation in IoT platforms Save
- Exposure to fine particulate matter in the New York City subway system during home-work commute Save
- A Data-Driven Framework for Air Quality Sensor Networks Save
- Convex Relaxation Method for Sensor Placement in Multiclass Monitoring Networks Save
- Leveraging Spatiotemporal Correlations With Recurrent Autoencoders for Sensor Anomaly Detection Save
- Robust Proxy Sensor Model for Estimating Black Carbon Concentrations Using Low-Cost Sensors Save
- On the data quality improvement of air pollution monitoring low-cost sensor networks using data-driven techniques Save
- Temporal Pattern-Based Denoising and Calibration for Low-Cost Sensors in IoT Monitoring Platforms Save
- Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms Save
- Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors Save
- A Low-Power IoT Device for Measuring Water Table Levels and Soil Moisture to Ease Increased Crop Yields Save
- Data reconstruction applications for IoT air pollution sensor networks using graph signal processing Save