SKH GROUP
Soorathep Kheawhom is an associate professor in the Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University in Bangkok, Thailand. He received Bachelor of Engineering (B.Eng.) in chemical engineering at Chulalongkorn University in 1997 and then started his first job there for two years (1997-1999). After that, he spent five years in Japan for Master and Ph.D. courses under the guidance of Prof. Masahiko Hirao. He received Ph.D. from the University of Tokyo in 2004. Since then he joined the Department of Chemical Engineering, Chulalongkorn University. His early research was on the use of mathematical tools to support control, operation and maintenance activities in chemical processes, and to investigate significant phenomena in industrial chemical processes. His current research focuses on the development of next-generation batteries such as zinc-air, zinc-ion battery, and zinc-iodine batteries. He has authored a number of articles in peer-reviewed journals and is a frequent speaker at international meetings on energy storage technologies. Besides, Dr. Soorathep has been a research advisor and mentor to various undergraduate students, graduate students, and postdoctoral associates.
RESEARCH INTERESTS
Zinc-air battery
Zinc-air batteries have attracted significant attention as promising energy storage, as they exhibit high energy density, cost-effective, safe, and environmentally friendly.
Zinc-ion battery
There is an increasing demand for high safety, high energy density, and low-cost rechargeable battery. In this aspect, zinc-ion batteries (ZIBs) have received incremental attention because of their high safety, abundance of zinc source, and environmental friendliness.
Printed electronics
Printing technology which is an additive manufacturing technique has been extensively investigated as a promising method for the fabrication of electronic devices. This technique is simple, inexpensive, high throughput and environmental friendly.
Optimization based and model predictive control
Model predictive control (MPC) is recognized as an advanced control algorithm which can effectively handle multiple input multiple output processes with constraints.