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Additional journal articles, conference proceedings, and presentations. To see the complete and most up-to-date list, please visit my Google Scholar.

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Journal Articles

  1. Dewberry, N., AlHmoud, I., Benton, K., Suarez, D., Chen, Y.-P., Karkaria, V., Tsai, Y.-K., Brock, M., Alazzawi, N., Chowdhury, S., Chen, W., Cao, J., & Gokaraju, B. (2025). A Real-Time VR-Enabled Digital Twin Framework for Multi-User Interaction in Industry 4.0. Manufacturing Letters, 44, 1486-1497.
  2. Tsai, Y.-K., & Chan, K-Y. (2019). Investigation on the Impact of Nongeometric Uncertainty in Dynamic Performance of Serial and Parallel Robot Manipulators. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(10), 3487-3511.
  3. Li, K.-L., Tsai, Y.-K., & Chan, K.-Y. (2018). Identifying joint clearance via robot manipulation. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(15), 2549–74.

Conference Proceedings

  1. Karkaria, V., Lee, D., Chen, Y.-P., Tsai, Y.-K., Yu, Y., & Chen, W. (2026). Towards Intelligent Manufacturing: Spatio-Temporal Learning of Process–Material Dynamics with Attention-Driven Neural Operators. The AI for Accelerated Materials Discovery (AI4Mat) Workshop at ICLR 2026. (accepted)
  2. Tsai, Y.-K., Karkaria, V., Chen, Y.-P., & Chen, W. (2025). Multi-generational Control Co-Design for Digital Twin-enabled Systems with Deep Reinforcement Learning. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, California, Aug. 17-20, 2025.
  3. Chen, Y.-P., Tsai, Y.-K., Karkaria, V., & Chen, W. (2025). Real-Time Decision-Making Under Uncertainty in Digital Twins: Robust Model Predictive Control Using Time-Series Deep Quantile Learning. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, California, Aug. 17-20, 2025.
  4. Karkaria, V., Chen, Y.-P., Tsai, Y.-K., Erdogan, G., Radulescu, R., & Chen, W. (2025). AI-Driven Digital Twin Framework for Predictive Maintenance: Dynamic Decision Making and Adaptive Model Updates. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, California, Aug. 17-20, 2025.
  5. Tsai, Y.-K., & Malak, R. J. (2023). Control Co-Design with Approximate Explicit Optimal Controller. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Boston, MA, Aug. 20-23, 2023.
  6. Tsai, Y.-K., & Malak, R. J. (2022). A Constraint-Handling Technique for Parametric Optimization and Control Co-Design. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. St. Louis, MO, Aug. 14–17, 2022.
  7. Tsai, Y.-K., & Malak, R. J. (2021). A Methodology for Designing a Feedback Controller via Parametric Optimization: State-Parameterized Nonlinear Programming Control. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Virtual, Online. Aug. 17–19, 2021.
  8. Tsai, Y.-K., & Chan, K.-Y. (2018). Parameter Identification and Performance Optimal Design for Vertical Articulated Robot Manipulators. The 21st National Conference on Mechanism and Machine Design, National Taiwan Ocean University, Keelung, Taiwan, Oct. 26-27, 2018.

Presentations (∗Indicates Presenter)

  1. Lee, D.*, Wang, L., Chen, B., Tsai, Y.-K., Sim, J., Zhao, R. R., Zhang, X. S., & Chen, W. (2025). Co-Design of Programmable Material Systems: A Perspective. Multifunctional Materials and Structures at the Gordon Research Conference, Ventura, California, USA, Jan. 25-30.
  2. Tsai, Y.-K.*, Karkaria, V., Chen, Y.-P., & Chen, W. (2025). Digital Twin-Enabled Multi-Generation Control Co-Design with Deep Reinforcement Learning. NSF Workshop Artificial Intelligence in Engineering Design and Systems Engineering (AI-EDSE). Purdue University, West Lafayette, Indiana, USA, Oct. 16-17.
  3. Chen, Y.-P.*, Karkaria, V., Tsai, Y.-K., Gao, R. X., & Chen, W. (2025). Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks. NAMRC53. Greenville, SC, USA. Jun. 23-27.
  4. Tsai, Y.-K., Wang, L., & Chen, W.* (2025). Control Co-Design of Geometrically Nonlinear Piezoelectric Actuators using Topology Optimization. 16th World Congress on Structural and Multidisciplinary Optimization (WCSMO-16). Kobe, Japan. May 18-23.
  5. Chen, Y.-P., Tsai, Y.-K.∗, Karkaria, V., & Chen, W. (2024). Multi-Step Robust Model Predictive Control with Time-Series Learning and Quantile Regression. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Washington, DC, Aug. 25-28.
  6. Tsai, Y.-K.∗, & Malak, R. J. (2022). Parametric Optimization for Control Design of Adaptive Aeroelastic Structures. Society of Engineering Science Annual Technical Meeting, College Station, TX, Oct. 16-19.