簡均樺助理教授的研究著作與獎項等資料如下:
 

A.    期刊論文
1.    Wang, C. C., Ye, T. Y., & Chien, C. H. (2026). Evidence-driven event-triggered closed-loop decision-support architecture for real-time weight stabilization in ic-tray injection molding. The International Journal of Advanced Manufacturing Technology, 1-23.

2.    Wang, C. C., Shen, H. G., & Chien, C. H. (2026). Cold-start quality prediction in multi-machine manufacturing systems via weak-consistency data fusion with human-in-the-loop learning. The International Journal of Advanced Manufacturing Technology, 143(3),

3.    Wang, C. C., & Chien, C. H. (2025). Machine Learning for Industrial Optimization and Predictive Control: A Patent-Based Perspective with a Focus on Taiwan’s High-Tech Manufacturing. Processes, 13(7), 2256.

4.    Chien, C. H., & Trappey, A. J. (2025). Human-AI cooperative generative adversarial network (GAN) for quality predictions of small-batch product series. Advanced Engineering Informatics, 65, 103327.

5.    Chien, C. H*., Trappey, A. J., & Wang, C. C. (2023). ARIMA-AdaBoost hybrid approach for product quality prediction in advanced transformer manufacturing. Advanced Engineering Informatics, 57, 102055.

6.    Wang, C. C., Chang, H. T., & Chien, C. H. (2022). Hybrid LSTM-ARMA demand-forecasting model based on error compensation for integrated circuit tray manufacturing. Mathematics, 10(13), 2158.

7.    Chien, C. H., Chen, P. Y., Trappey, A. J., & Trappey, C. V. (2022). Intelligent Supply Chain Management Modules Enabling Advanced Manufacturing for the Electric‐Mechanical Equipment Industry. Complexity, 2022(1), 8221706.

8.    Chien-Chih Wang, Chun-Hua Chien*, and Amy J. C. Trappey (2021, Jul). On the application of ARIMA and LSTM to predict order demand based on short lead time and on-time delivery requirements. Processes, 9(7), 1157.


B.    會議論文
1.    Chien-Chih Wang and Chun-Hua Chien*. Development of AI Virtual Metrology System for DMK Solvent Recovery Using Data Augmentation Techniques. The 14th Asia Conference on Mechanical and Materials Engineering (ACMME 2026).

2.    Chun-Hua Chien*, Amy J. C. Trappey , Chien-Chih Wang (2025, Nov). Hybrid Deep Learning Models for Quality Prediction in Small-Batch Customized Transformer Manufacturing. Asia Pacific Industrial Engineering and Management Society (APIEMS 2025).

3.    Chien, C. H*., & Trappey, A. J. AdaBoost-Based Transfer Learning Approach for Highly-Customized Product Quality Prediction in Smart Manufacturing. In Engineering For Social Change: Proceedings of the 31st ISTE International Conference on Transdisciplinar

4.    Trappey, A. J., & Chien, C. H*. Intelligent Product Quality Prediction for Highly Customized Complex Production Adopting Ensemble Learning Model. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 4575-4580). IEEE.

5.    C.H. Chien*, Kevin L.K. Tua, H.J. Lina, A.J.C.Trappey. Integrated patent landscape analysis based on semiconductor infringement landmark cases. Transdisciplinary Engineering 2022.

6.    Chien-Chih Wang, Chun-Hua Chien*. An empirical study for price prediction of iron raw material using machine learning techniques. Asia Pacific Industrial Engineering And Management Systems.(APIEMS 2019).

7.    Chien-Chih Wang, Chun-Hua Chien* and Chia-Ying Li . An On-line SOH Prediction Model for Lithium-Ion batteries Using the Mahalanobis Taguchi Technology (Best Paper Award). 3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability

8.    Chien-Chih Wang, Chun-Hua Chien*. Using human factor in exploring the cognitive differences of indoor pollution.. International Conference on Industrial Engineering and Applications (ICIEA 2019).