Dimitrios I. Gerogiorgis

Institution: National Technical University of Athens (NTUA), Greece

Dr. Dimitrios Gerogiorgis holds a Diploma in Chemical Engineering with highest honors from the Aristotle University of Thessaloniki, Greece (1999); he then obtained a Masters of Science in Electrical and Computer Engineering (2003) and simultaneously his Doctorate in Chemical Engineering (2004) from Carnegie Mellon University at Pittsburgh, Pennsylvania, USA; he was advised by Professor Erik Ydstie under simultaneous J.W. Fulbright, Alexander Onassis and Carnegie Mellon Doctoral Fellowships. He also received an Eberly Center for Teaching Excellence Development Certificate. Collaborating with the ALCOA Technical Center, he was the first researcher to model in detail and investigate both computationally (CFD) and experimentally (with ALCOA’s G. Carkin) the complex multiphase flow within a novel carbothermic aluminum reactor, receiving several distinctions.

Dr. Gerogiorgis has been awarded a Marie Curie postdoctoral fellowship in order to join the Centre for Process Systems Engineering at Imperial College, London, where he was supervised by Prof. Efstratios Pistikopoulos and worked successfully on several research projects in oil extraction, polygeneration optimization and SOFC control. Following his military service with the Greek Army Ordnance Corps, he joined the MIT Department of Chemical Engineering, where he served as a postdoctoral fellow at the Novartis-MIT Center for Continuous Manufacturing. Working on Quality by Design-oriented synthesis and optimization of novel continuous pharmaceutical processes, he achieved the generation of CPM process design superstructures, investigated their feasibility and viability and developed a systematic methodology for rapid screening of candidate CPM flowsheets via Interval Arithmetic (IA).
He is currently a senior researcher at the National Technical University of Athens (NTUA), focusing on design, CFD analysis and optimization of a novel molten slag fiberization process addressing efficient red mud utilization.