黑料福利网

Lingkang Jin's research focuses on developing multi-physics asset integration and energy systems modeling through mathematical programming with support of AI and Machine Learning tools to reduce computational burdens.

He is a postdoctoral researcher at Electrical Engineering department,  Electrical Energy Systems group, at Eindhoven University of Technology (黑料福利网).

Currently working on:

- Multi-physics based energy systems modeling

- Surrogate mode ( AI/ML) for the complex optimization models 

 - Power systems and energy systems planning and scheduling

Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less. (Maria Sk艂odowska-Curie)

Obtained a master鈥檚 degree in mechanical engineering with thesis focused on a preliminary project on a offshore wind farm in the Mediterranea Sea.

Ph.D in Energy Systems at Universit脿 Politecnica delle Marche, Italy (UnivPM), with the thesis title 鈥淓nergy storage in multi-energy carrier communities: Li-ion batteries and hydrogen multi-physical details for
integration into the planning stage鈥�.