Key research themes
1. How can mathematical and statistical modeling improve accuracy and fairness in source apportionment?
This research area focuses on developing advanced mathematical models and statistical techniques, such as Non-Negative Matrix Factorization (NMF), αβ-divergence cost functions, and proportionate fairness constraints, to accurately estimate source contributions and ensure fair representation in multidimensional data. It matters because precise source attribution is critical for effective policymaking, environmental management, and equitable resource allocation across protected groups or data sources.
2. What techniques facilitate effective source apportionment and sensitivity analysis for air pollution to support environmental policy?
This body of research investigates methodologies—including brute force approaches, chemical transport models, receptor and source-oriented models—and their application to air pollution source apportionment. It emphasizes the distinction and interplay between source 'impacts' (sensitivity analysis) and 'contributions' (source apportionment), their linear and nonlinear interactions, and how these quantifications can inform integrated assessment models for air quality planning. Such work is essential for developing scientifically sound environmental policy and air quality management.
3. How can data integration and source data selection methodologies ensure representativeness, quality, and user-driven relevance in heterogeneous multi-source datasets?
This theme explores approaches for selecting, integrating, and fusing data from multiple heterogeneous sources with consideration of quality, dependence, distributional requirements, and user preferences. Problems addressed include handling conflicting data with source copying, ensuring training data representativeness and fairness, multi-criteria user-driven source selection, and credibility assessment of probabilistic information fusion. Efficient and principled handling of such challenges is critical for coherent, fair, and effective data-driven analysis across domains.
4. What are the environmental and health applications of source apportionment studies in air quality and water quality monitoring?
This research area focuses on applying source apportionment techniques to analyze the origins and impacts of pollutants in environmental media such as air and water. Studies employ receptor and source models, isotopic fingerprinting, chemometric methods, and statistical analyses to identify pollutant sources, quantify their contributions, assess seasonal and spatial variations, and evaluate risks to human health and ecosystems. These insights directly inform environmental protection policies, pollution mitigation strategies, and public health interventions.