Objectives
The main objectives of this research group are to investigate the use of process analytics, modelling, and optimization tools in industrial settings, with the ultimate goal of assisting in process industry decision-making and achieving more sustainable processes.Major research topics
Application of artificial intelligence, advanced control, and real-time optimization techniques in the field of cyclic adsorption processes
Researching in selecting the right applications of process analytics, modelling and optimization methodologies, which bring the most benefits in terms of reducing energy consumption, reduction of environmental pollution, realisation of a full circular economy, cost reductions and product quality improvements
Application of machine learning tools to correlate the physical-chemical properties values in different sectors of chemical industry
Researching in selecting the right applications of process analytics, modelling and optimization methodologies, which bring the most benefits in terms of reducing energy consumption, reduction of environmental pollution, realisation of a full circular economy, cost reductions and product quality improvements
Application of machine learning tools to correlate the physical-chemical properties values in different sectors of chemical industry
TEAM
Carlos Albino Veiga da Costa
Diogo Filipe Mateus Rodrigues
Domingos Azevedo Goncalves Barbosa
Fernando Gomes Martins
José Carlos Magalhães Pires
Diogo Filipe Mateus Rodrigues
Domingos Azevedo Goncalves Barbosa
Fernando Gomes Martins
José Carlos Magalhães Pires
Júlio José da Silva Paiva
Maria Joana Monteiro de Carvalho Peres
Romualdo Luís Ribera Salcedo
Teresa Cândida Barbosa Castelo Grande Edmond Augusto
Maria Joana Monteiro de Carvalho Peres
Romualdo Luís Ribera Salcedo
Teresa Cândida Barbosa Castelo Grande Edmond Augusto