Asst. Prof. Korrakot Yaibuathet Tippayawong, D.Eng
Chair of Program
Master IM
kyaibuathet@gmail.com
(+66)53-944125
(+66)53-944183
(+66)53-944126 ext 318
Financial Engineering
Logistics and Supply Chain Management
Performance Measurement
Degree | Graduation Year | Field | Institution |
---|---|---|---|
Doctor of Philosophy | 2008 | Industrial Engineering and Management | Tokyo Institute of Technology, Japan |
Master of Engineering | 2003 | Industrial Engineering | Swinburne University of Technology, Australia |
Bachlor of Engineering | 1998 | Industrial Engineering | Chiang Mai University, Thailand |
Field | Value |
---|---|
Year Range | 2018 - 2023 |
Publication Count | 38 |
H-Index | 12 |
Field-Weighted Citation Impact (FWCI) | 1.55 |
Citation Count | 284 |
Citation per Publication | 7.47 |
Predicting Healthcare Mutual Fund Performance Using Deep Learning and Linear Regression
International Journal of Financial Studies
2024
0
DECARBONIZING A THAI COAL POWER PLANT: EFFECT OF FLUE GAS LOADS ON CARBON CAPTURE PERFORMANCE AND ECONOMICS
Applied Engineering Letters
2024
0
Assessing sustainability of Chiang Mai urban development
Discover Sustainability
2023
0
Improvement of coffee production performance via integrated lean and automated mechanization techniques
Cogent Food and Agriculture
2023
0
Prediction of biocrude oil yields from hydrothermal liquefaction using a gradient tree boosting machine approach with principal component analysis
Energy Reports
2023
1
Applying Delphi method to develop sustainable city indicators A case study of Chiang Mai, Thailand
TeMA Journal of Land Use, Mobility and Environment
2023
2
Development of a cost optimization model for power generation from agricultural residual biomass in Thailand
Energy Reports
2023
2
The social cost of carbon of different automotive powertrains: A comparative case study of Thailand
Energy Reports
2023
6
Development of Product Supply Chain Strategy Using BMC and Axiomatic Design
Journal of Engineering Sciences (Ukraine)
2023
0
Forecasting arabica coffee yields by auto-regressive integrated moving average and machine learning approaches
AIMS Agriculture and Food
2023
0