Marina Cocchi currently serves as the Associate Professor in the University of Modena and Reggio Emilia’s Department of Chemical and Geological Sciences. She has dedicated nearly two decades of chemometric and data analysis research to the university, exploring topics ranging from data fusion procedures to development and application of multivariates. Cocchi has also contributed to over one hundred scientific publications throughout her career.

• 1. Introduction: ways and means to deal with data from multiple sources2. Framework for low-level data fusion3. General framing of low-high-mid level Data Fusion with examples in life science4. Numerical optimization based algorithms for data fusion5. Recent advances in High-Level Fusion Methods to classify multiple analytical Chemical Data6. SO-(N)-PLS: Sequentially Orthogonalized-(N)-PLS in Data Fusion context7. ComDim methods for the analysis of multi block data in a data fusion perspective8. Data fusion via multiset analysis 9. Dealing with data heterogeneity in a data fusion perspecitve: models, methodologies, and algorithms10. Data Fusion strategies in food analysis11. Data fusion for image analysis12. Data fusion using window based models: Application to outlier detection, classification, and forensic image analysis

Marina Cocchi currently serves as the Associate Professor in the University of Modena and Reggio Emilia’s Department of Chemical and Geological Sciences. She has dedicated nearly two decades of chemometric and data analysis research to the university, exploring topics ranging from data fusion procedures to development and application of multivariates. Cocchi has also contributed to over one hundred scientific publications throughout her career.

• 1. Introduction: ways and means to deal with data from multiple sources2. Framework for low-level data fusion3. General framing of low-high-mid level Data Fusion with examples in life science4. Numerical optimization based algorithms for data fusion5. Recent advances in High-Level Fusion Methods to classify multiple analytical Chemical Data6. SO-(N)-PLS: Sequentially Orthogonalized-(N)-PLS in Data Fusion context7. ComDim methods for the analysis of multi block data in a data fusion perspective8. Data fusion via multiset analysis 9. Dealing with data heterogeneity in a data fusion perspecitve: models, methodologies, and algorithms10. Data Fusion strategies in food analysis11. Data fusion for image analysis12. Data fusion using window based models: Application to outlier detection, classification, and forensic image analysis

Marina Cocchi currently serves as the Associate Professor in the University of Modena and Reggio Emilia’s Department of Chemical and Geological Sciences. She has dedicated nearly two decades of chemometric and data analysis research to the university, exploring topics ranging from data fusion procedures to development and application of multivariates. Cocchi has also contributed to over one hundred scientific publications throughout her career.

• 1. Introduction: ways and means to deal with data from multiple sources2. Framework for low-level data fusion3. General framing of low-high-mid level Data Fusion with examples in life science4. Numerical optimization based algorithms for data fusion5. Recent advances in High-Level Fusion Methods to classify multiple analytical Chemical Data6. SO-(N)-PLS: Sequentially Orthogonalized-(N)-PLS in Data Fusion context7. ComDim methods for the analysis of multi block data in a data fusion perspective8. Data fusion via multiset analysis 9. Dealing with data heterogeneity in a data fusion perspecitve: models, methodologies, and algorithms10. Data Fusion strategies in food analysis11. Data fusion for image analysis12. Data fusion using window based models: Application to outlier detection, classification, and forensic image analysis