**About the Editors**

**Mingheng Li** (Professor) received his B.E. from Beijing University of Chemical Technology, M.E. from Tsinghua University, and Ph.D. from UCLA, all in Chemical Engineering. He worked as a senior research engineer at PPG Industries (Pittsburgh, PA) for two and a half years before joining the faculty at California State Polytechnic University, Pomona, in 2007. Dr. Li's research interests lie in the general areas of process systems engineering and applications to water, energy, environmental engineering, and materials processing.

**Hui Sun** (Assistant Professor) received his B.Sc. from the Chinese University of Hong Kong in Mathematics, and Ph.D. from UCLA in Applied Mathematics. He worked as a postdoctoral researcher in UCSD for three and a half years before joining the faculty at California Statement University, Long Beach, in 2017. Dr. Sun's research interests lie in scientific computation, mathematical modeling, and computational biophysics.

#### **Preface to "Mathematics and Engineering"**

Engineering problems arising in energy, environment, and agriculture, amongs<sup>t</sup> others, with enormous scale and complexity are featured, and these have posed challenges and provided opportunities for the development of advanced mathematical tools to ensure sound decision making. For example, with the breakthrough of computational power over the last few decades, modeling and numerical linear algebra have been intensely utilized and developed to simulate various engineering processes. More recently, data sciences and machine learning have emerged in a diverse array of engineering fields.

This book consists of a compilation of works covering a wide variety of application domains, including seashore sulfuric acid erosion, industrial cyberphysical systems, vehicle target detection, agrohydrological systems, nanofluid flow, next-generation manufacturing, and smart grids. The purpose of this book is to assemble a collection of articles covering the current progress in mathematics applied in complex engineering problems, which includes but is not limited to modeling and simulation, computations, analysis, control, optimization, data science, and machine learning.

We would like to thank those who have contributed to this book. We would also like to thank those who performed reviews of the manuscripts—the feedback of these reviewers is invaluable. We would like to thank Dr. Jean Wu for her grea<sup>t</sup> support as the Managing Editor throughout the process of putting together this Special Issue of *Mathematics*. We would like to thank our colleagues at California State Polytechnic University, Pomona, and at California State University, Long Beach, for their continuous support. Finally, our deepest gratitude is extended to our families and friends for their constant encouragemen<sup>t</sup> and support. Without them, this work would not have been possible.

> **Mingheng Li, Hui Sun** *Editors*
