Apresentação Pessoal

João P. S. Catalão is a Full Professor ("Professor Catedrático") at the Faculty of Engineering of the University of Porto, Portugal. He is an IEEE Fellow and a Highly Cited Researcher in the field of Engineering. He is among the Top 2% of Scientists and a Best Scientist in Research.com.

He was the Primary Coordinator of the 5.2-million-euro FP7-EU project SiNGULAR, 2012-2015. Currently, he is the Primary Coordinator of the 4.5-million-euro Horizon-EU project EU-DREAM, 2024-2027, DOI: https://doi.org/10.3030/101160614.

He has coauthored more than 500 journal publications, with an h-index of 100 and more than 37,000 citations (according to Google Scholar), having supervised more than 130 researchers (post-docs, Ph.D. and M.Sc. students, and other students with project grants).

He was the General Chair of SEST 2019 (technically co-sponsored by IEEE), after being the inaugural Technical Chair and co-founder of SEST 2018. He was the Editor of two CRC Press Books: “Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling” (2012) and “Smart and Sustainable Power Systems: Operations, Planning and Economics of Insular Electricity Grids” (2015).

He is a Senior Editor of the IEEE Transactions on Neural Networks and Learning Systems, and a Senior Editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems. He was an IEEE CIS Fellows Committee Member in 2022-2024. He was elected Full Member of Sigma Xi, The Scientific Research Honor Society, in 2023.

He was recognized as an Outstanding Associate Editor 2023 of the IEEE Transactions on Emerging Topics in Computational Intelligence, an Outstanding Associate Editor 2021 of the IEEE Transactions on Power Systems, and an Outstanding Senior Associate Editor 2020 of the IEEE Transactions on Smart Grid. Furthermore, he has won 5 Best Paper Awards at IEEE Conferences.

His research interests include power system operations and planning, power system economics and electricity markets, distributed renewable generation, demand response, smart grid, and multi-energy carriers.

Áreas de Interesse

1. Ciências Tecnológicas > Engenharia > Engenharia electrotécnica