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ОглавлениеShort Bios of the Authors
Efstratios N. Pistikopoulos
Professor Pistikopoulos is the Director of the Texas A&M Energy Institute and a TEES Eminent Professor in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He was a Professor of Chemical Engineering at Imperial College London, UK (1991–2015), and the Director of its Centre for Process Systems Engineering (2002–2009). He holds a PhD degree from Carnegie Mellon University and he worked with Shell Chemicals in Amsterdam before joining Imperial. He has authored or co‐authored over 500 major research publications in the areas of modeling, control and optimization of process, and energy and systems engineering applications, 12 books, and 2 patents. He is a co‐founder of Process Systems Enterprise (PSE) Ltd., a Fellow of AIChE and IChemE and the current Editor‐in‐Chief of Computers & Chemical Engineering. In 2007, he was a co‐recipient of the prestigious MacRobert Award from the Royal Academy of Engineering. In 2012, he was the recipient of the Computing in Chemical Engineering Award of CAST/AIChE. He received the title of Doctor Honoris Causa from the University Politehnica of Bucharest in 2014, and from the University of Pannonia in 2015. In 2013, he was elected Fellow of the Royal Academy of Engineering in the United Kingdom.
Nikolaos A. Diangelakis
Dr. Diangelakis is an Optimization Specialist at Octeract Ltd. in London, UK, a massively parallel global optimization software firm. He was a postdoctoral research associate at Texas A&M University and Texas A&M Energy Institute. He holds a PhD and M.Sc. on Advanced Chemical Engineering from Imperial College London and has been a member of the “Multi‐parametric Optimization and Control Group” since late 2011. He earned his bachelor degree in 2011 from the National Technical University of Athens (NTUA). His main research interests are on the area of optimal receding horizon strategies for chemical and energy processes while simultaneously optimizing their design. For that purpose, he is investigating novel solution methods for classes of non‐linear, robust, and multi‐parametric optimization programming problems. He is the main developer of the PARametric Optimization and Control (PAROC) platform and co‐developer of the Parametric OPtimization (POP) toolbox. In 2016 he was chosen as one of five participants in the “Distinguished Junior Researcher Seminars” in Northwestern University, organized by Prof. Fengqi You. In 2017 he received the third place in EFCE's “Excellence Award in Recognition of Outstanding PhD Thesis on CAPE.” He is the coauthor of 16 peer reviewed articles, 11 conference papers and 3 book chapters.
Richard Oberdieck
Richard Oberdieck is a Technical Account Manager at Gurobi Optimization, LLC, one of the leading mathematical optimization software companies. He obtained a bachelor and MSc degrees from ETH Zurich in Switzerland (2009–1013), before pursuing a PhD in Chemical Engineering at Imperial College London, UK, which he completed in 2017. During is PhD, he discovered fundamental properties of multi‐parametric programming problems and implemented them in the Parametric Optimization (POP) toolbox, of which he was the main developer. After using his knowledge in mathematical modeling and optimization in the space of renewable energies at the world leader in offshore wind energy, Ørsted A/S, he is now helping companies around the world unlock business value through mathematical optimization as a Technical Account Manager for Gurobi Optimization, LLC. He has published 21 papers and 2 book chapters, has an h‐index of 11 and was awarded the FICO Decisions Award 2019 in Optimization, Machine Learning and AI.
