有興趣加入研究團隊的學生請參考個人網頁內研究方向及實驗室規章：https://hackmd.io/@yiping514/rJWMl4jbMg

陳怡平博士目前於美國西北大學擔任博士後研究員，預計於115學年度下學期正式加入台大機械系。

陳怡平博士取得西北大學機械工程博士學位，師從 Wei Chen 教授，並分別取得國立臺灣大學機械工程碩士與國立成功大學機械工程學士學位（斐陶斐）。攻讀博士學位前，他曾任職於國家中山科學研究院航空研究所飛控組，擔任助理研究員。

他的研究橫跨人工智慧、計算設計、控制與數位孿生，主要關注如何讓工程系統不只能預測未來，更能從資料中持續學習、因應系統與環境變化，並在不確定性下即時做出可靠決策。研究結合機器學習、物理模型、最佳化與控制方法，目標是發展能夠學習、適應與自主決策的智慧工程系統。

目前研究主要聚焦於三個相互連結的方向：可信賴且具持續適應能力的數位孿生、結合scientific machine learning 的資料高效計算設計與代理模型，以及自主工程系統的智慧決策。研究議題包括如何整合不同來源與不同精度的模擬及實驗資料，以減少工程建模與設計所需的資料量；如何利用物理知識與機器學習建立高效率且具泛化能力的模型；如何讓模型在實體系統老化、操作條件改變或遭遇未知環境時持續更新；以及如何量化不確定性，並將其納入即時控制與決策。

過去研究涵蓋 multi-fidelity data fusion、active learning、deep time-series learning、Koopman operator、neural operator、model predictive control、reinforcement learning 與 differentiable control，並應用於積層製造、鈑金成形、車輛系統、預測性維護與智慧製造等領域。長期而言，他希望突破僅將 AI 作為預測工具的傳統角色，進一步發展能夠學習、推理、適應與決策，同時符合物理原理與實際工程限制的智慧工程系統。

陳怡平博士於在學期間曾獲多項學術與研究榮譽，包括台灣教育部百大講學金、Predictive Science and Engineering Design Fellowship、Murphey Fellowship、Martin Outstanding Doctoral Fellowship，以及 Northwestern University Department of Mechanical Engineering Mentorship Award。其研究成果亦獲得 2026 ASME 自動化設計最佳博士論文、NAMRC 53 製造系統最佳論文、2025 ASME Design Automation Conference 優秀論文、2026 鴻海科技獎，以及 MATLAB Expo Taiwan 最佳論文、CSME 最佳碩士論文與上銀科技獎。

人工智慧、製造、設計、計算工程

數據驅動工程設計、數位孿生

1.Chen, Y.-P., Suarez, D., Tsai, Y.-K., Karkaria, V., Chen, Z., Hu, G., Guo, P., Cao, J., and Chen, W. (2026). “Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control.” Journal of Manufacturing Systems, 86C, 762–773. https://doi.org/10.1016/j.jmsy.2026.04.004

2.Karkaria, V., Tsai, Y.-K., Chen, Y.-P., Lee, D., Cao, J., and Chen, W. (2026). “UNiCO-AM: Uncertainty-Aware Neural Co-Design for Additive Manufacturing via an Attention-Based Spatio-Temporal Neural Operator and Bayesian Optimization.” Manufacturing Letters, in press.

3.Lee, J., Su, H., Macchi, M., …, Chen, W., Chen, Y.-P., et al. (2026). “2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing.” Machine Learning: Engineering. https://doi.org/10.1088/3049-4761/ae5967

4.Tsai, Y.-K., Chen, Y.-P., Karkaria, V., and Chen, W. (2026). “Reinforcement Learning-Based Control Co-Design of Digital Twin-Enabled Full-Vehicle Active Suspension Systems.” Structural and Multidisciplinary Optimization, 69, 108. https://doi.org/10.1007/s00158-026-04304-y

5.Wang, Z., Chen, Y.-P., Dolar, T., and Chen, W. (2025). “ARCOBO: Adaptive Resource-Aware Collaborative Bayesian Optimization for Heterogeneous Multi-Agent Design.” Journal of Mechanical Design, 148(9), 091703. https://doi.org/10.1115/1.4071073

6.Karkaria, V., Lee, D., Chen, Y.-P., Yu, Y., and Chen, W. (2025). “An Attention-Based Spatio-Temporal Neural Operator for Evolving Physics.” Machine Learning: Science and Technology, 6, 045036. https://doi.org/10.1088/2632-2153/ae1277

7.Tsai, Y.-K., Karkaria, V., Chen, Y.-P., and Chen, W. (2025). “Digital Twin-Enabled Multi-Generation Control Co-Design with Deep Reinforcement Learning.” Journal of Mechanical Design. https://doi.org/10.1115/1.4072056

8.Chen, Y.-P., Tsai, Y.-K., Karkaria, V., and Chen, W. (2025). “Uncertainty-Aware Digital Twins: Robust Model Predictive Control Using Time-Series Deep Quantile Learning.” Journal of Mechanical Design, 148(2), 021702. https://doi.org/10.1115/1.4069104

9.Chen, Y.-P., Karkaria, V., Tsai, Y.-K., Rolark, F., Quispe, D., Gao, R., Cao, J., and Chen, W. (2025). “Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control Using Time-Series Deep Neural Networks.” Journal of Manufacturing Systems, 80, 412–424. https://doi.org/10.1016/j.jmsy.2025.03.009
Outstanding Paper Award in Manufacturing Systems, NAMRC 53 (2025).

10.  Dewberry, N. K., AlHmoud, I., Benton, K., Suarez, D., Chen, Y.-P., Karkaria, V., Tsai, Y.-K., Brock, M., Alazzawi, N., Chowdhury, S., Chen, W., Cao, J., and Gokaraju, B. (2025). “A Real-Time VR-Enabled Digital Twin Framework for Multi-User Interaction in Industry 4.0.” Manufacturing Letters, 44, 1486–1497. https://doi.org/10.1016/j.mfglet.2025.06.168

11.  Karkaria, V., Tsai, Y.-K., Chen, Y.-P., and Chen, W. (2024). “An Optimization-Centric Review for Integrating AI and Digital Twin Technologies in Manufacturing.” Engineering Optimization, 57(1), 1–47. https://doi.org/10.1080/0305215X.2024.2434201

12.  Chen, Y.-P., Wang, L., Comlek, Y., and Chen, W. (2024). “A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling.” Computer Methods in Applied Mechanics and Engineering, 421, 116773. https://doi.org/10.1016/j.cma.2024.116773

13.  Chen, Y.-P., and Chan, K.-Y. (2021). “Unknown Parameter Excitation and Estimation for Complex Systems with Dynamic Performances.” Journal of Mechanical Design, 143(9), 1–25. https://doi.org/10.1115/1.4050107