Decision and risk frameworks for the deployment of hydrogen mobility infrastructure, addressing demand uncertainty, infrastructure rollout, policy exposure and long-term investment viability.

Stochastic optimization of power purchasing agreements for green hydrogen projects under uncertainty, combining baseload and pay-as-produced agreements with wind and solar sources. The model optimizes NPV, manages market and demand risks, and captures arbitrage opportunities.

Analysis of battery systems for congestion mitigation, renewable integration, peak shaving, and market arbitrage, including long-duration storage business cases and operational optimization.

Strategic evaluation of industrial transition pathways combining renewable electrification, hydrogen integration, emissions reduction, and risk-adjusted capital allocation.

Application of Bayesian Networks to credit default prediction and debt consolidation risk assessment, improving transparency and probabilistic decision support in financial services.

Development of integrated ERM frameworks based on ISO 31000 and COSO to enhance governance, resilience, strategic alignment, and organizational risk visibility.

Techno-economic framework to evaluate how long-duration storage reduces grid congestion, improves self-sufficiency, and increases renewable integration under different hybrid renewable and grid-charging scenarios.

Bayesian Networks and expert elicitation to model feasibility, usability, value, and viability risks in innovative products, supporting scenario analysis, decision-making, and investment prioritization under high uncertainty.