最高學歷: 國立臺灣科技大學 營建工程系 博士
研究專長: 應用人工智慧、可靠度分析、資料驅動建模、結構設計最佳化、工程自動化
教授課目:BIM自動化與應用程式開發
辨公室: 新竹市大學路1001號國立交通大學 工程二館305室
分機: 03-5712121 ext.54930
電子信箱:prayogohandy@nycu.edu.tw
經歷:
2026/08 ~ 國立陽明交通大學 土木工程系 助理教授
2024/06 ~ 2026/7 國立臺灣科技大學 營建工程系 博士後研究員
個人著作:
期刊論文
1.
I-Tung Yang, Handy Prayogo (2026). Cross-Output Information Transfer Framework for Multi-Property Concrete Prediction Incorporating Supplementary Cementitious Material and Recycled Aggregate. Journal of Building Engineering, 115206. DOI: 10.1016/j.jobe.2026.115206
2.
I-Tung Yang, Handy Prayogo (2025). Interpretable Data-Augmented Machine Learning Framework for Robust Failure Mode Classification of RC Shear Wall. Journal of Building Engineering, 113960. DOI: 10.1016/j.jobe.2025.113960
3.
Handy Prayogo, I-Tung Yang (2025). Out-of-Distribution-Aware Structural Damage Classification via Hybrid Variational Autoencoder and Gradient Boosting. Computers & Structures, 317, 107905. DOI: 10.1016/j.compstruc.2025.107905
4.
Handy Prayogo, I-Tung Yang, Min-Yuan Cheng (2024). Dynamic Gradient Boosted Metaheuristic Approach for Efficient Reinforced Concrete Structure Optimization. Journal of Building Engineering, 97, 110864. DOI: 10.1016/j.jobe.2024.110864
5.
Handy Prayogo, I-Tung Yang, Kuo-Wei Liao (2024). Efficient Estimation of Structural Probability of Failure with Adaptive Kriging and Multi-Layered Hyperball-Based Importance Sampling. Journal of the Chinese Institute of Engineers, 47(1), 108-119. DOI: 10.1080/02533839.2023.2274076
6.
Jui-Sheng Chou, Chi-Yun Liu, Handy Prayogo, Riqi Radian Khasani, Danny Gho, Gretel Gaby Lalitan (2022). Predicting Nominal Shear Capacity of Reinforced Concrete Wall in Building by Metaheuristics-Optimized Machine Learning. Journal of Building Engineering, 61, 105046. DOI: 10.1016/j.jobe.2022.105046
7.
I-Tung Yang, Handy Prayogo (2022). Adaptive Hyperball Kriging Method for Efficient Reliability Analysis. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 36, e34. DOI: 10.1017/S0890060422000208
8.
I-Tung Yang, Handy Prayogo (2022). Efficient Reliability Analysis of Structures Using Symbiotic Organisms Search-Based Active Learning Support Vector Machine. Buildings, 12(4), 455. DOI: 10.3390/buildings12040455
9.
Doddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, Albertus Arief Herdany, Handy Prayogo (2018). Differential Big Bang-Big Crunch Algorithm for Construction-Engineering Design Optimization. Automation in Construction, 85, 290-304. DOI: 10.1016/j.autcon.2017.10.019
10.
Doddy Prayogo, Min-Yuan Cheng, Handy Prayogo (2017). A Novel Implementation of Nature-Inspired Optimization for Civil Engineering: A Comparative Study of Symbiotic Organisms Search. Civil Engineering Dimension, 19(1), 36-43. DOI: 10.9744/ced.19.1.36-43
會議論文
1.
Handy Prayogo, I-Tung Yang (2026). Toward A More Robust RC Shear Wall Failure Mode Prediction: A Deep Conditional Generative Learning Framework. International Conference on Computing in Civil and Building Engineering, Seoul, South Korea.
2.
Handy Prayogo, I-Tung Yang (2023). Adaptive Kriging-Assisted Metaheuristic Method for Efficient Reliability-Based Design Optimization. International Conference on Civil and Building Engineering Informatics, Bangkok, Thailand.
3.
Handy Prayogo, I-Tung Yang (2022). AK-MCB-IS: An Adaptive Kriging with Multi Concentric Ball-based Importance Sampling. International Symposium on Emerging Developments and Innovative Applications of Reliability Engineering and Risk Management, Taipei, Taiwan.
4.
Handy Prayogo, I-Tung Yang (2021). Active Learning Kriging Model for Reliability Analysis. 25th Symposium on Construction Engineering and Management, Taoyuan, Taiwan.
5.
Handy Prayogo, I-Tung Yang (2020). Reliability-based Design Optimization Using Symbiotic Organisms Search and Subset Simulation. Seventh Asia-Pacific Symposium on Structural Reliability and Its Applications, Tokyo, Japan.
6.
Handy Prayogo, I-Tung Yang (2019). Multi-objective Reliability Design Based Optimization Using Elitism-based Multi-objective Symbiotic Organisms Search. 2019 Conference on Computer Applications in Civil and Hydraulic Engineering, Taipei, Taiwan.