Processes Webinar | Digital Twins for Process Monitoring and Control—Some Recent Developments and Perspectives
the chair
8th Processes Webinar
Digital Twins for Process Monitoring and Control—Some Recent Developments and Perspectives
Industrial operations are characterized by the continuous search for more efficient process operations, more reliable and robust equipment designs, the maximization of benefits, and the minimization of deleterious environmental and social impacts. Simultaneously, the digital revolution provides increasingly cheaper computation platforms, with increasingly larger storage, memory, and computational capabilities. The combination of these has encouraged the continuous development of new modeling and numerical tools that are expected to be applied in actual industrial sites throughout the world and in different process engineering fields, for both offline and online analyses. Typical examples include the use of complex phenomenological models for the design of actual industrial equipment and process flowsheets; the implementation of empirical models based on machine learning procedures for process monitoring, fault identification, and diagnosis; and the utilization of identification techniques for the construction of virtual sensors and process twins, for the purposes of process monitoring and control.
In this context, the present Webinar on “Digital Twins for Process Monitoring and Control—Some Recent Developments and Perspectives” intends to describe and discuss the recent advances related to the development and implementation of Digital Twins in real industrial environments for the purposes of process monitoring and control. In order to achieve the proposed goals, the webinar will cover some fundamental aspects of current technologies and discuss real advanced applications in the oil production and chemical manufacturing fields, emphasizing the benefits that can be obtained by those who decide to make use of these tools. As a consequence, during the webinar, the attendees will have the opportunity to revise the principles of Digital Twin implementations and to access some very recent real applications in this field.
Date: 29 July 2025
Time: 10:00 am BRT | 3:00 pm CEST | 9:00 pm CST Asia
Webinar ID: 874 9267 7679
Webinar Secretariat: journal.webinar@mdpi.com
Meet Our Speakers
Prof. José Carlos Pinto
Programa de Engenharia Quimica / COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil;
José Carlos Pinto obtained a Bachelor’s degree in Chemical Engineering from the Federal University of Bahia (1985), a Master’s degree in Chemical Engineering from the Federal University of Rio de Janeiro (1987), and a PhD in Chemical Engineering from the Federal University of Rio de Janeiro (1991). Currently, he is a Full Professor in the Chemical Engineering Program at COPPE, Federal University of Rio de Janeiro, and is a permanent faculty member of the Graduate Program in Chemical and Biochemical Process Engineering at the School of Chemistry, Federal University of Rio de Janeiro. With expertise in chemical engineering, his research focuses broadly on chemical reactors, with particular emphasis on the modeling, simulation, monitoring, and control of polymerization systems. He has published over 500 technical papers in scientific journals and has accumulated more than 13,000 citations across Web of Science, Scopus, and Google Scholar, with an H-index of 56 (as of May 1 2025). He serves on the Editorial Board of Polímeros: Ciência e Tecnologia (a journal published by ABPol) and is a member of the Editorial Boards of Macromolecular Reaction Engineering (Wiley) and Processes (MDPI). He has been a full member of the Brazilian Academy of Sciences (Academia Brasileira de Ciências) since 2010 and the National Academy of Engineering (Academia Nacional de Engenharia) since 2014.
Mr. Thiago Anzai
CENPES – Centro de Pesquisas Leopoldo Américo Miguez de Mello
PETROBRAS, Rio de Janeiro, Brazil;
Thiago Koichi Anzai obtained a Bachelor's degree in Chemical Engineering from the Federal University of Rio de Janeiro (UFRJ) and a Master's degree in Chemical Engineering from the Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (COPPE/UFRJ); currently, he is pursuing a PhD at the same institution. As a Process Engineer at Petrobras, Thiago Anzai works in Research and Development activities focused on process monitoring. His research involves utilizing data-driven and phenomenological models for the real-time monitoring of critical assets and processes in oil exploration and production (E&P).
Dr. Thiago Feital
OPTIMATECH
Rio de Janeiro ,Brazil;
Thiago de Sá Feital obtained a Bachelor's degree in Chemical Engineering from the Federal Rural University of Rio de Janeiro (2007) and a PhD in Chemical Engineering from the Federal University of Rio de Janeiro (2011). Currently serving as a postdoctoral researcher in the Chemical Engineering Program at COPPE/UFRJ, he is also the co-founder and executive director of OPTIMATECH, a startup company dedicated to advancing the modeling, simulation, monitoring, and control of industrial processes. Thiago has concentrated his professional activities and research interests on the development of numerical tools, particularly in relation to machine learning procedures, for the advanced monitoring and control of real industrial processes.
The webinar on “Digital Twins for Process Monitoring and Control - Some Recent Developments and Perspectives” discusses some fundamental aspects of and the recent advances related to the development and implementation of Digital Twins in real industrial environments for the purposes of process monitoring, real-time optimization and control. Applications described in the webinar emphasize the benefits that can be obtained by those who decide to make use of these tools in the areas of oil production and chemical processing.
The webinar was hosted via Zoom and required registration to attend. The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.
Development and Implementation of Digital Twins for Industrial Processes
Edited by Prof. Dr. Jose Carlos Pinto, Prof. Dr. Maurício B. de Souza, Jr, Prof. Dr. Marcellus G. F. De Moraes and Dr. Maurício M. Câmara
Deadline for manuscript submissions: 15 January 2026