top of page

Ping-Feng Pai, Ph.D.

Distinguished Professor
Department  of Information Management, National Chi Nan University, Nantou, Taiwan

Senior Member, IEEE

Editorship
Human-centric Computing and Information Sciences(SCIE), Micromachines (SCIE), International Journal of Fuzzy Systems(SCIE), Electronics(SCIE), Journal of Information Process Systems (EI), Journal of Electrical and Computer Engineering(EI), Analytics,  Encyclopedia

World’s Top 2% Scientists "2020,2021,2022,2023", listed both in career-long and single year impact
Highly Ranked Scholar - Lifetime, #19 Support-vector machine, 2022, listed in ScholarGPS








 

Education
Ph.D., Dept. of Industrial and Manufacturing Systems Engineering, Kansas State University, USA

Visiting Positions: 
Schulich School of Business, York University, Canada (invited and sponsored by Prof. John Buzacott)

Winner: the Canadian-Taiwan Research Scholarship

Research Interests:
Machine Learning, Neural Networks, Deep Learning, Big Data, Data Mining, Metaheuristics and Optimization.

Website Linkages
Google Scholar
Scopus Search
Scholar GPS

Selected Publications

  1. Chieh-Huang Chen, Ying-Lei Lin, Ping-Feng Pai* (2024, Sep.). Forecasting Flower Prices by Long Short-Term Memory Model with Optuna. Electronics, 13(18), 3646, 1-19. (SCIE)

  2. Wen-Chieh Yang, Jung-Pin Lai, Yu-Hui Liu, Ying-Lei Lin, Hung-Pin Hou, Ping-Feng Pai* (2023, Dec.). Using Medical Data and Clustering Techniques for a Smart Healthcare System. Electronics, 13(1), 140, 1-20. (SCIE)

  3. Jung-Pin Lai, Ying-Lei Lin, Yu-Hui Liu*, Ho-Chuan Lin, Chih-Yuan Shih, Yu-Po Wang, Ping-Feng Pai (2023, Oct). Machine Learning in Integrated Circuit Substrate Electrical Test. 2023 18th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT). (EI)

  4. Chieh-Huang Chen , Jung-Pin Lai, Yu-Ming Chang, Chi-Ju Lai, Ping-Feng Pai* (2023, Jul). A Study of Optimization in Deep Neural Networks for Regression. Electronics, 12(14), 3071, 1-17. (SCIE)

  5. Yu-Shan Li, Ping-Feng Pai*, Ying-Lei Lin (2023, Mar). Forecasting inflations by extreme gradient boosting with the genetic algorithm. Journal of Ambient Intelligence and Humanized Computing, 14(3),2211-2220. (EI)

  6. Jung-Pin Lai, Ping-Feng Pai* (2023, Feb). A Dual Long Short-Term Memory Model in Forecasting the Number of COVID-19 Infections. Electronics, 12(3),759,1-13. (SCIE)

  7. Jung-Pin Lai, Ying-Lei Lin, Ho-Chuan Lin, Chih-Yuan Shih, Yu-Po Wang, Ping- Feng Pai* (2023, Feb). Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis. Micromachines, 14(2), 265,1- 18. (SCIE)

  8. Chia-Chi Fang, Ping-Feng Pai*, Chi-Ju Lai, Ying-Lei Lin (2022, Dec). Using light gradient boosting machine with genetic algorithms and google trends in forecasting COVID-19 confirmed cases. International Journal of Information and Management Sciences, 33(4), 353-367. (EI)

  9. Guo-Yu Huang, Chi-Ju Lai, Ping-Feng Pai* (2022, Oct). Forecasting hourly intermittent rainfall by deep belief networks with simple exponential smoothing.   Water Resources Management, 36(13), 5207–5223. (SCIE)

  10. Ying-Lei Lin, Chi-Ju Lai, Ping-Feng Pai* (2022, Oct). Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis. Electronics, 11(21),3513,1-19. (SCIE)

  11. Jung-Pin Lai, Ying-Lei Lin, Ho-Chuan Lin, Chih-Yuan Shih, Yu-Po Wang, Ping- Feng Pai* (2022, Aug). RLC Circuit Forecast in Analog IC Packaging and Testing by Machine Learning Techniques. Micromachines, 13(8),1305,1-13.(SCIE)

  12. Yu-Ming Chang, Chieh-Huang Chen, Jung-Pin Lai, Ying-Lei Lin , Ping-Feng Pai* (2021, Nov). Forecasting Hotel Room Occupancy Using Long Short-Term Memory Networks with Sentiment Analysis and Scores of Customer Online Reviews. Applied Sciences, 11(21), 10291, 1-14. (SCIE)

  13. Jung-Pin Lai, Yu-Ming Chang, Chieh-Huang Chen, Ping-Feng Pai* (2020, Aug). A Survey of Machine Learning Models in Renewable Energy Predictions. Applied Sciences, 10(17), 5975,1-20. (SCIE)

  14. Ping-Feng Pai*, Wen-Chang Wang (2020, Aug). Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices. Applied Sciences, 10(17), 5832, 1-11. (SCIE)

  15. Yi-Ting Huang, Ping-Feng Pai* (2020, Apr). Using the least squares support vector regression to forecast movie sales by data from Twitter and movie databases. Symmetry, 12(4), 625,1-10. (SCIE)

  16. Kuo-Ping Lin, Ping-Feng Pai*, Yi-Ju Ting (2019, Jul). Deep belief networks with genetic algorithms in forecasting wind speed. IEEE Access, 7, 99244-99253. (SCIE)

  17. Ping-Feng Pai*, Chia-Hsin Liu (2018, Oct). Predicting vehicle sales by sentiment analysis of Twitter data and stock market values. IEEE Access, 6,57655-57662. (SCIE)

  18. Ping-Feng Pai*, Ling-Chuang Hong, Kuo-Ping Lin (2018, Jul). Using Internet search trends and historical trading data for predicting stock markets by the least squares support vector regression model. Computational Intelligence and Neuroscience, Volume 2018, Article ID 6305246, 15 pages.(SCIE)

  19. Kuo-Ping Lin, Ming-Lang Tseng, Ping-Feng Pai (2018, Jan). Sustainable supply
    chain management using approximate fuzzy DEMATEL method. Resources, Conservation and Recycling, 128,134-142. (SCIE)

bottom of page