Tanase G. Dobre, born in 1950, graduated from Bucharest Politehnica University (UPB) in 1974 in industrial chemistry and process engineering, receiving his PhD in 1985 in the field of high efficiency mass and heat transfer. One year later, he obtained a lecturer position at the Chemical Engineering Department of UPB, becoming a reader in 1987 and a full professor five years after that. Between 2001 and 2006 he cooperated with ENSCM and IEM in Montpellier in membrane processes modeling and simulation. His main research interest covers mathematical modeling and computer simulation of chemical and biochemical processes, mass transfer with porous medium, mathematical modeling of air, soil and water pollution, intensive processes by heat and mass transfer enhancement, advances in separation processes computing, simulation and experimental checking. Professor Dobre has more than 90 papers, eight books and ten patents to his name. José G. Sanchez Marcano, born in 1958, graduated from Simon Bolivar University in 1980 in chemistry and process engineering, receiving his Doctorat d'Etat in 1987 from the University of Aix-Marseille III in the field of catalysis and petrochemistry. That same year he took up a position in the Department of Operations and Projects at PEQUIVEN, gaining a postdoctoral position two years later at IRC in Lyon where he worked on catalytic oxidation processes. In 1991 he moved to the CNRS at the Laboratory of process engineering and automatics, working on catalytic membrane reactors and modeling and subsequently in 1994 to the Institut Européen des Membranes in Montpellier, France. Since 2002 he has been a research director and additionally leads the group on Membrane Process Engineering at IEM. His main research interest covers catalytic membrane reactors, gas separation, membrane contactors as well as modeling and simulation of membrane processes. Dr. Sanchez Marcano has more than 60 publications and four patents to his name.

Advantages and limits for modeling and experimental research
Model types for research by modeling and simulation
Mathematical modeling based on transport phenomena equations
Use of mathematical models for parameters identification
Mathematical modeling based on stochastic processes
Stochastic and determinist heat and mass transport
Mathematical modeling based on statistics theory
Dimensional analysis and Similitude theory Advantages and limits for modeling and experimental research
Model types for research by modeling and simulation
Mathematical modeling based on transport phenomena equations
Use of mathematical models for parameters identification
Mathematical modeling based on stochastic processes
Stochastic and determinist heat and mass transport
Mathematical modeling based on statistics theory
Dimensional analysis and Similitude theory