Idelfonso Nogueira

Idelfonso Nogueira is an Associate Professor in the Department of Chemical Engineering at NTNU. His research focuses on integrating artificial intelligence, advanced control systems, and digitalization to address industrial challenges, particularly in chemical processes and product development. He leads the AiP²S² framework, emphasizing synergies between AI and traditional engineering methods.

Education: PhD in Chemical and Biological Engineering (University of Porto, 2018), Visiting Researcher at Tampere University of Technology (2016–2018), and multiple master’s degrees from Brazilian and Portuguese institutions.

Research Interests: Process optimization using AI, hybrid modeling, digital twins, and Industry 4.0/5.0 applications. Collaborations span universities, institutes, and industries globally. Teaching focuses on preparing engineers for modern industrial demands.

Publications: Over 60 manuscripts, with 70% in Q1 journals (e.g., Chemical Engineering Science, Computers and Chemical Engineering). Key areas include pressure swing adsorption, machine learning for process control, and fragrance molecule design.

Grants/Advising: Active in parameter estimation, process modeling, and renewable energy projects. No explicit student advising list provided.

Labs/Teams: Engages in AI-driven process systems engineering, digital twin development, and sustainable technology initiatives.