Moisès Graells received the M.Sc. degree in chemical science from Universitat Autònoma de Barcelona, Barcelona, Spain. He received the Ph.D. degree from Universitat Politécnica de Catalunya, Barcelona, Spain, in 1996, granted by FI/DGU (Generalitat de Catalunya). His thesis on process systems engineering was supervised by Emeritus Prof. L. Puigjaner. He is currently an Associate Professor of chemical engineering at Universitat Politècnica de Catalunya. Since 1991, he has been a Researcher at CEPIMA-UPC and he has participated in several R+D national and international projects funded by public (EU programs JOULE, ESPRIT, BRITE, GROWTH, IMS, etc., national programs CICYT, CIRIT, CEDETI, etc.) and private institutions (Hyprotech, Bayer, The CO-LaN). He has also participated in TEMPUS projects for restructuring engineering courses at diverse eastern and former USSR countries (Russia, Ukraine, Bulgaria, etc.). He has coauthored more than 80 research papers in international journals; he has cosupervised five Ph.D. theses, published three book chapters in specialized monographs, and presented more than 100 communications in national and international meetings. Since 1998, he has been lecturing chemical engineering at different UPC Schools: Escola Universit ria Politècnica de Vilanova i la GeltrÃ, Escola Tcnica Superior dEnginyeria de Industrial de Barcelona, and Escola Universitària d’Enginyeria Tècnica de Industrial de Barcelona. He is currently at the new Escola dEnginyeria de Barcelona Est. He has also been Invited Lecturer at the Lappeenranta University of Technology, Aalborg University (DK), University of Limmerick (IE), Universidade de Coimbra (PT). His teaching experience includes innovative projects presented to Engineering Education conferences and awarded with the Vicens Vives distinction (Generalitat de Catalunya). He is member of the American Institute of Chemical Engineers and Advisor of the UPC AIChE Student Chapter. His research interests have focused on the modeling and optimization of chemical processes, especially batch processes, process integration, waste and energy management, and scheduling and planning. Regarding methodological aspects, his interests are the modeling and optimization techniques: math programming, stochastic and metaheuristic algorithms, machine learning and artificial intelligence, computer aided tools for decision making, and information management.