Dr. Enrico Ampellio
Dr. Enrico Ampellio
Staff of Professorship for Reliability and Risk Engineering
Additional information
Research area
- Methods and algorithms for engineering
- Optimization under uncertainty
- Reduced models
- Operation research for sustainable energy systems
- Climate change and weather resilience
Passionate, zealous, and proactive Aerospace Engineer with a MSc and a Ph.D from the Polytechnic of Turin, practiced in industrial R&D to solve problems faster, better, and cheaper. Technical experience in different fields (multi-disciplinary optimization, fluid dynamics, multi-physics simulations, mechanics, structures, dynamics, systems, testing, energy and storage) on different products (turbomachinery, gearboxes, engines, mechanical components, thermo-fluid-dynamic systems, energy networks) gained after more than ten years in the industry, including pluriannual responsibility roles in GE Aviation, a co-founded deep-tech Startup in the energy field inventing a new electro-mechanical battery, and a co-founded Engineering Studio for industrial and research consulting services. All thesis activities, PhD, and talent acceleration programs were already conducted in collaboration or inside the industry. Many participations in national and international research projects together with the Academia (e.g., Horizon 2020).
Strong background in methods and algorithms for optimization, spanning from mathematical programming to meta-heuristics, machine learning and data-driven, artificial intelligence, reduction techniques, and meta-models. Now working as a postdoctoral researcher at ETH Zurich to unleash the tractability of large and complex sustainable energy systems for a trustable and informed decision-making. The key focus is on adaptive smart surrogates, scalable yet accurate, and advanced spatiotemporal aggregation, compact yet physical, applied to continental scale net-zero models under climate, weather, and socio-techno-economic uncertainties, in order to provide crucial guidelines about the future of energy.