**About the Editors**

### **C´elio Bruno Pinto Fernandes**

Dr. Celio Fernandes obtained his Education of Mathematics degree from the University of Minho ´ (Portugal) in 2005. After graduating, C. Fernandes obtained his Applied Mathematics MSc degree at the University of Porto (Portugal) in 2007. During this period, C. Fernandes employed spectral methods to describe the melt flow that occurs in the polymer extrusion process. Afterwards, C. Fernandes joined the Department of Polymer Engineering at the University of Minho (Portugal) where he completed his Ph.D. degree in Science and Engineering of Polymers and Composites in 2012. During this period, C. Fernandes made important contributions to the field of the Injection Molding Process by applying multi-objective evolutionary algorithms to solve the inverse problem of finding the best injection molding parameters to achieve predefined criteria. C. Fernandes was a visiting Post-Doctoral researcher at MIT, USA in 2017. C. Fernandes has been working with the open-source computational fluid dynamics library OpenFOAM. He has established new numerical methods for the solution of viscoelastic matrix-based fluids using the finite volume method, such as an immersed boundary method able to fully-resolve particle-laden viscoelastic flows and developed a fully implicit log-conformation tensor coupled algorithm for the solution of incompressible non-isothermal viscoelastic flows.

#### **Salah Aldin Faroughi**

Dr. Salah A. Faroughi is an Assistant Professor in the Ingram School of Engineering at Texas State University. He holds a B.Sc. and M.Sc. in Mechanical Engineering. He obtained his Ph.D. in Civil and Environmental Engineering at Georgia Institute of Technology, where he investigated the effect of microstructures (e.g., particle shape, size, type, orientation, and rearrangement) on the rheophysics and thermophysics of complex particulate matter (e.g., fluids and composites). He did his postdoctoral study at the Massachusetts Institute of Technology in the department of Mechanical Engineering. His postdoc research focused on the development of high-performance computing algorithms augmented using physics-based deep learning models to explore the dynamics of particle-laden viscoelastic materials. His studies provided answers to multiple long-lived fundamental questions and resulted in several well-cited papers published in prestigious journals such as *Nature*, *Journal of Applied Physics*, *Physical Review E*, and *JNNFM*, among many others.

#### **Lu´ıs L. Ferr´as**

L. L. Ferras is an Assistant Professor at the Department of Mechanical Engineering, Faculty of ´ Engineering, University of Porto (FEUP) and a researcher at the Centre for Mathematics, University of Minho, Portugal. He received his Ph.D. in Science and Engineering of Polymers and Composites from the University of Minho in 2012, a Ph.D. in Mathematics from the University of Chester in 2019, and was a visiting researcher at MIT in 2016. His current research interests are numerical analysis, applied mathematics, partial and fractional differential equations, mathematical modeling, computational mechanics, computational fluid dynamics, complex viscoelastic flows, rheology, anomalous diffusion, and machine learning.

### **Alexandre M. Afonso**

Afonso graduated in Chemical Engineering from Faculty of Engineering of the University of Porto (FEUP) in 2000, with a final-year Research Project at the Universidad Politecnica de Catalunya graded with an Honor Grade (10/10). In 2005, Afonso completed an MSc in Heat and Fluid mechanics and, in 2010, completed a PhD degree in Biological and Chemical Engineering from FEUP. Currently, Afonso is an Assistant Professor at the Department of Mechanical Engineering at FEUP.
