Alessio Trivella

Alessio Trivella is a Researcher specializing in Industrial Engineering & Business Information Systems, with a focus on optimization models for energy, transportation, and logistics. His work bridges academic research with industry applications, emphasizing mathematical programming, stochastic optimization, and sustainability.

Research Interests: His expertise spans combinatorial optimization, dynamic programming, and network algorithms, addressing challenges in green hydrogen production, hydrogen railway systems, container loading, and renewable energy procurement. Key themes include uncertainty modeling, resource flow optimization, and system resilience.

Scientific Contributions: Recent work (2023–2025) explores sustainable energy hubs, hydrogen infrastructure, retail planning, and railway automation, with publications in journals like Renewable Energy and Management Science. His research aligns with UN Sustainable Development Goals, particularly in energy sustainability and smart transport systems.

Awards: Recognized for excellence with the Outstanding Reviewer Award OR Spectrum 2019.