Computational Thermo-kinetics of Rigid Polyurethane Foams: Theory and Applications
O ovoj e-knjizi
O autoru
Dr. Arnold A. Lubguban is a professor of Chemical Engineering and senior researcher at the Mindanao State University-Iligan Institute of Technology (MSU-IIT) in the Philippines. With a Ph.D. in chemical engineering, his expertise lies in the development of petroleum-based and sustainable polymers, focusing on industrial, environmental, biomedical, and nanotechnology applications. Dr. Lubguban's research is dedicated to advancing renewable materials, with the goal of creating sustainable solutions for industrial and medical sectors. He obtained his Ph.D. from the University of Missouri.
Dr. Arnold C. Alguno is a professor of Materials Science and Engineering program at the Mindanao State University-Iligan Institute of Technology (MSU-IIT), specializing in semiconductor physics, solar cell technology, and nanotechnology. He obtained his Ph.D. in physics at Tohoku University, Japan. His research spans a broad range of fields, including sensor technology, quantum dots, and advanced functional materials.
Dr. Roberto M. Malaluan is a professor of Chemical Engineering at the Mindanao State University-Iligan Institute of Technology (MSU-IIT) and a pioneering researcher in the field of sustainable polymers and supercritical fluid extraction. He completed his Doctor of Engineering at Tohoku University, Japan. Dr. Malaluan has dedicated his career to teaching and research, particularly focusing on the supercritical carbon dioxide extraction of natural products, a technique he has applied to drug discovery and industrial applications.
Dr. Gerard Dumancas is a professor of Chemistry and associate dean of Research and Program Innovation at North Carolina Agricultural and Technical State University. He obtained his Ph.D. in Analytical Chemistry (Chemometrics) from Oklahoma State University. His research interests are in the areas of chemometrics, molecular genetics, analytical chemistry, analytical method development, STEM education, and machine learning techniques as applied to innovative bioenergy solutions.
