33rd European Symposium on Computer Aided Process Engineering
3 contributors - Set / collection
£465.00
Antonios C. Kokossis serves as the co-director of the National Technology Platform for Sustainable Chemistry, a National Representative of Directorate I (Climate Change & Environment), Affiliate of IEA Bioenergy and EERA Bioenergy, and the Greek Delegate of the Computer Aided Process Engineering (CAPE) group of EFCE. Dr. Kokossis received his Diploma in Chemical Engineering from National Technical University of Athens, Greece and Ph.D. degree in Chemical Engineering from Princeton University (USA). His expertise includes process systems design, modelling, process integration, and optimization. He published academic papers extensively and has consulted with the process industry including UOP, Bayer, Mitsubishi, Eastman, MW Kellogg, BP Oil, Uniliver and more recently, with biorefineries and small companies on renewables Michael C. Georgiadis is Honorary Senior Research Fellow, Department of Chemical Engineering, Imperial College London. He holds a PhD from Imperial College. His research areas encompass Energy Systems Engineering; Energy Planning and Scheduling; Energy Saving Techniques for the Process Industries; Supply Chain Network Design and Optimisation; Techniques for Project Scheduling; Advanced Process Control of Energy and Production Systems; Modelling , simulation and Dynamic Optimization of oil and gas processes; Computer-Aided Process Design and Synthesis; Design and scheduling of Batch and semi-continuous Processes, Production Planning. Emphasis on food, specialty chemicals and pharmaceutical processes; Optimisation and Control of Drug delivery systems; and Modelling of Biological Systems. Stratos Pistikopoulos holds a PhD in Chemical Engineering, from Carnegie Mellon University, USA. The objective of his research program is to develop fundamental theory and optimization based methodologies and computational tools that enable process engineers to analyze, design and evaluate process manufacturing systems which are economically attractive, energy efficient and environmentally benign, while at the same time exhibit good performance characteristics like flexibility, controllability, robustness, reliability and safety.