Ricardo Manuel Pinto de Lima
My mission is to develop computational models and methods based on mathematical optimization and data science for sustainable energy and chemical processes. I am deeply committed to decarbonization, climate change mitigation, and optimal operations management.
Biography
Ricardo has a Chemical Engineering Diploma (5 years degree) and a PhD in Chemical Engineering in the area of Process Systems Engineering. He obtained his Diploma and PhD at the Faculty of Engineering from the University of Porto (FEUP), Portugal, under the supervision of Professor Romualdo Salcedo and Professor Domingos Barbosa.
After completing his PhD studies, Ricardo became a post-doctoral fellow in the Department of Chemical Engineering at the Carnegie Mellon University (CMU), USA, where he worked with Professor Ignacio Grossmann. During his stay at CMU, he collaborated with PPG Industries in several projects. He was an invited researcher in the Glass Process Engineering/Process Control group located in the PPG Glass Business and Discovery Center, where he worked with Dr Yu Jiao.
In 2011, Ricardo was awarded a Marie Curie Fellowship to pursue research on sustainable power systems at the National Laboratory of Energy and Geology in Portugal.
Ricardo joined KAUST in 2014, where he has been involved in problems concerning chemical processes flexibility, optimization of isolated and hybrid energy systems, the motion planning of autonomous underwater vehicles, optimal operation of virtual power plants, optimization under uncertainty, robust optimization, and in a project with the Ministry of Health of Saudi Arabia.
Research Interests
My research interests lie at the intersection of optimization, modeling, uncertainty, and computer science. I am interested in the modeling and optimization of complex problems related to energy systems, chemical engineering, and oil industries. Target applications include integration, planning and scheduling of renewable energy systems, process synthesis, planning and scheduling of chemical engineering systems, and path planning of autonomous under-water vehicles. Development of mathematical programming methodologies, namely combinatorial optimization models, continuous optimization models, deterministic global optimization solution approaches, optimization under uncertainty models, and decomposition algorithms to solve large-scale problems.
About
My research interests lie at the intersection of optimization, modeling, uncertainty, and computer science. I am interested in the modeling and optimization of complex problems related to energy systems, chemical engineering, and oil industries. Target applications include integration, planning and scheduling of renewable energy systems, process synthesis, planning and scheduling of chemical engineering systems, and path planning of autonomous under-water vehicles. Development of mathematical programming methodologies, namely combinatorial optimization models, continuous optimization models, deterministic global optimization solution approaches, optimization under uncertainty models, and decomposition algorithms to solve large-scale problems.
Awards and Distinctions
- PhD fellowship - PRAXIS XXI/21481/99, Portuguese "Fundacao para a Ciencia e a Tecnologia" (FCT), 2000 - 2003
- Post-doc fellowship – SFRH/BPD/26115/2005, Portuguese "Fundacao para a Ciencia e a Tecnologia" (FCT), 2006 - 2008
- Marie Curie Fellowship – DFRH/WIIA/67/2011, Welcome II Programme, co-funded by the Portuguese "Fundacao para a Ciencia e a Tecnologia" (FCT) and the Marie Curie Action Cofund, under the People Programme of the European Commission’s 7th Research Framework Programme., 2011 - 2014
Education
- Licentiate (Lic.)
- Chemical Engineering, Faculty of Engineering, University of Porto, Portugal, 1999
- PhD (Dr. rer. nat.)
- Chemical Engineering, Faculty of Engineering, University of Porto, Portugal, Portugal, 2006
