Optimal Management of Environmental and Resource Stocks in Space and Time (@ Alma Mater Studiorum - Università di Bologna):
- This project builds a unified dynamic–spatial framework to optimally manage heterogeneous environmental and resource stocks, linking their evolution through flows and transport to both use and non-use values. Combining theoretical development with quantitative analysis, it yields policy-relevant insights and a generalizable framework for effective, welfare-oriented management.
Incident trends of selected endocrine-related diseases and conditions in Europe and North America, and the Contribution of Changes in Human Reproduction (@ Alma Mater Studiorum - Università di Bologna):
- This project develops and analyzes a unified applied-mathematics framework that couples stochastic incidence dynamics with mechanistic immune-response modules, enabling inference from large longitudinal cohorts on disease risk and immune-biomarker kinetics. Using rigorous statistical inference and predictive modeling—with calibration, causal estimation, and uncertainty quantification—it delivers general outputs such as cohort-level trajectories of immune markers under infection and vaccination, estimates of persistence and waning, and validated forecasts and counterfactuals for population-level protection.
Development of Stochastic Multi-objective Dynamic Programming with Application to Multi-Reservoir Systems Operation Management (@ Yazd University, funded by Iran’s National Elites Foundation):
- This project formulates a stochastic, multi-objective dynamic optimization framework for operating networked reservoir systems under uncertainty, capturing storage dynamics, inflow variability, and competing objectives within a unified optimal-control paradigm. Leveraging decomposition, Pareto-front analysis, and scalable numerical methods with uncertainty quantification, it yields trade-off surfaces and adaptive operating policies that support robust, data-informed decision making.
