Wannaporn Teekeng

Title and name : Ms. Wannaporn Teekeng, Ph.D.
Address : Rajamangala University of Technology Lanna
128 Huay Kaew Rd., Chang Puak Subdistrict,
Muang District, Chiang Mai Province,
THAILAND 50300.

Tel no. (Office) :          +66 53 921 444 Ext. 2680
Tel No. (Mobile) :        +66 87 302 6082
E-mail :                        wannaporn@rmutl.ac.th, maew.maew@gmail.com
Date of birth :   24 April 1972
Nationality : Thai
Languages : Thai (Native)
Program / Faculty : Business Information System / Business Administration and Liberal Arts
Position Status : Lecturer
Academic Position : Assistant Professor
Education : Ph.D. (Information Technology)
Research Interests : Artificial Intelligence(AI), Business Intelligence (BI), Evolutionary Algorithm (EA), Optimization Problem, Machine Learning
Teaching Experiences :    Data Warehouse, System Analysis and Design, Database System Concepts, Artificial Intelligence
Research output (Year 2012 to present) :

Teekeng, W. and Unkaw, P. (2017). A new hybrid model of PSO and DE algorithm for data classification. SNPD 2017. 47-51.
Teekeng, W., Unkaw, P. and Phucharasupa, K. (2017). Development of Information Literacy of Local Wisdom for Textile Products Promotion in Lampang Province. HERP CONGRESS V.
Teekeng, W., Thammano, A., Unkaw, P. and Kiatwathiamorn, (2016). A new algorithm for flexible job-shop scheduling problem based on particle swarm optimization. int. J. Artificial Life and Robotics. 18-23. Scopus. Q:4.
Thammano, A. and Teekeng, W. (2015). A modified genetic algorithm with fuzzy roulette wheel selection for job-shop scheduling problems. Int. J. General Systems 44(4): 499-518. IF: 2.490. Q:1.
Teekeng, W. and Thammano, A. (2012). Modified Genetic Algorithm for Flexible Job-Shop Scheduling Problems. Complex Adaptive Systems 2012: 122-128.