KEYNOTE SPEAKER 1
Assoc. Prof. Dr. Uma Seeboonruang
Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand.
Dr. Uma Seeboonruang is currently a Faculty member in Civil Engineering Department at King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand. She has been selected a Fulbright grantee on the Visiting Scholar Program 2015-2016 and during the period she has been taking an active role as a country network focus at the University of California – Davis. She has also been a selected grantee for various international funding organizations, e.g. Newton Fund and AUN/SEED-Net.
She took part in many national organizations, e.g. as an Advisory committee of the Water Resource Engineering Subcommittee in the Engineering Institute of Thailand under HM the King's Patronage (EIT) and currently an active member for the Thailand Hydrologist Association. She is also a reviewer in many well-known journals, for examples, Journal of Hydrology Engineering, American Society of Civil Engineering and Engineering and Physical Sciences, World Academy of Science, Engineering and Technology.
She participated in international projects, i.e. as a research assistant at University of California-Davis, USA, working on modeling and isotopic analysis to assess artificial recharge in the Rialto-Colton Basin supported by Water Resource Center (WRC) CA. in collaboration with the US Geology Survey (USGS) and working on modeling of bacterial transport supported by the Department of Energy (DOE), USA. Other international collaborations include Dr. Jason Gurdak, Department of Earth & Climate, San Francisco State University; Dr. Tsutomu ICHIKAWA. Dean, School of Engineering, Kyushu Tokai University; Dr. Timothy R. Ginn, Department of Civil and Environmental Engineering, University of California-Davis; Dr.Christopher Green, United States Geological Survey; Dr. Linda Woolfenden, United States Geological Survey.
KEYNOTE SPEAKER 2
Professor Dr. Li Chunguang
School of Civil Engineering, North Minzu University, Yinchuan, Ningxia, China.
Prof. Dr. Chunguang Li is currently the dean of the School of Civil Engineering at North Minzu University, China. He had been the director of the Research Institute of Numerical Computation & Engineering Applications, and the head of Postgraduate’s Affairs Division at the North Minzu University from 2003 to 2014.
In 1983, Li graduated from North China University of Water Resources and Electric Power and got his BEng there degree. In 1991, he graduated from Sichuan Normal University and got his MSc degree there. In 1999, he graduated from Xi’an Jiaotong University and got his PhD there. After that, he had completed his post doctoral researches at Zhengzhou University from September 1999 to December 2001, at Delft College of Technology, the Netherlands from July 2002 to November 2003, respectively.
Prof. Li had been an engineer in Lubuge Hydroelectric Power Station in China for 5 years, and has been appointed as professor by the North Minzu University since 2002. He is also a supervisor of PhD students of several universities in China, such as Xi’an Jiaotong University, Hefei University of Technology, and Ninxia University. His main research interests include computational fluid dynamics, river dynamics, engineering numerical simulation, numerical algebra, etc. He has published over 70 papers in various journals, 2 books and presided four projects of National Natural Science Foundation of China and participated in more than 20 other projects in China.
KEYNOTE SPEAKER 3
Professor Dr. Li Cunlin
School of Management, North Minzu University, Yinchuan, Ningxia, China
Assoc. Prof. Dr. Li Cunlin is a faculty member of School of Management at North Minzu University, China. Specializing in fuzzy theory, uncertain theory, game theory, decision theory and method, as well as optimization theory and application, he has produced and published many research papers including Bimatrix Games in Necessity Spaces, An Implicit Algorithm for Maximal Monotone Operators and Pseudocontractive Mappings, as well as Expected Residual Minimization Method for Uncertain Variational Inequality Problems.