Shi-Tong Peng

Shi-Tong Peng

Associate professor at Department of Mechanical Engineering, Shantou University




🤵🏻 About me

Hi, my name is Shi-Tong Peng and I joined Shantou University as an associate professor in 2020. If you are seeking any form of academic collaboration, please feel free to reach out at shtpeng@stu.edu.cn (email preferred) or 18018985971 (phone).

My research interests include process monitoring, additive manufacturing, uncertainty quantification, energy/quality management, and life cycle assessment. I have published 30+ papers with total

🎓Graduate Research Opportunities

I am actively seeking 2 motivated Master students to join my small research group each year. Candidates with backgrounds in Mechanical Engineering, Computer Science, Mathematics, Electronics, or Automation are encouraged to apply.

  • What I value:
    • Strong self-motivation and commitment to research.
    • Outstanding academic performance (GPA ≥ 3.5 or equivalent).
    • Solid mathematical foundation (e.g., >100/150 in postgraduate entrance math exams).
    • Interest in long-term research (Ph.D. aspirants are particularly welcome!).
  • What I offer:
    • Collaborative mentorship focused on deep algorithm development and industrial applications.
    • An inclusive environment — your potential matters more than your undergraduate institution.
    • Monthly stipend.
    • Active support for doctoral applications.

🔥 News

  • 2024.10:  🎉🎉 Congrats! Baoyun won the National Scholarship for graduate student.
  • 2024.09:  🎉🎉 Welcome three students joining us.
  • 2024.05:  🎉🎉 Congrats to Fenglian on the successful defense of her Master’s thesis!

📝 Publications

  • Y Ding, Y Zhang, J Huang, S Peng*. Incremental Pyraformer–Deep Canonical Correlation Analysis: A Novel Framework for Effective Fault Detection in Dynamic Nonlinear Processes, Algorithms, 2025, 18 (3), 130.
  • S Peng, S Yang, B Gao, W Liu, F Wang, Z Tang. Prediction of 3D temperature field through single 2D temperature data based on transfer learning-based PINN model in laser-based directed energy deposition, Journal of Manufacturing Processes, 2025, 138: 140-156.
  • S Yang, H Li, Z Tang, W Liu, F Wang, S. Peng*. Data fusion and swin transformer architecture-based model for monitoring geometric morphology of blue laser directed energy deposited Al-Mg alloy, Measurement, 2025, 248: 116992.
  • B Gao, S Yang, S Peng*. Bayesian Monte Carlo-assisted life cycle assessment of lithium iron phosphate batteries production for electric vehicles under uncertainty, Green Manufacturing Open, 2024, 2: 18 pdf
  • J Huang, Y Li, X Li, Y Ding, F Hong, S. Peng*. Energy Consumption Prediction of Injection Molding Process Based on Rolling Learning Informer Model, Polymers, 2024, 16(21): 3097.
  • X Zeng, S Peng, J Guo, G Chen, J Tang, F Wang. Classification of melt pool states for defect detection in laser directed energy deposition using FixConvNeXt model, Measurement Science and Technology, 2024, 36(1): 015201.
  • H. Xiao, B. Gao, S. Yu, B. Liu, S. Cao, S. Peng*. Life cycle assessment of metal powder production: a Bayesian stochastic Kriging model-based autonomous estimation, Autonomous Intelligent Systems, 2024, 4(1): 1-14.
  • J. Huang, Z. Zeng, F. Hong, Q. Yang, F. Wu, S. Peng*. Sustainable operation strategy for wet flue gas desulfurization at a coal-Fired power plant via an improved many-objective optimization, Sustainability, 2024, 16: 8521.
  • J. Yang, L. Duan, S. Peng, R. Heijungs, et al. Toward More Realistic Estimates of Product Displacement in Life Cycle Assessment, Environmental Science & Technology, 2024,
  • B. Gao, S. Peng*, T. Li, et al. Integration of improved meta-heuristic and machine learning for optimizing energy efficiency in additive manufacturing process, Energy, 2024, 306: 132518 pdf
  • S. Yang, S. Peng*, J. Guo, F. Wang. A review on physics-informed machine learning for monitoring metal additive manufacturing process, Advanced Manufacturing, 2024, 2: 0008 pdf
  • Y. Wu, Y. Feng, S. Peng*, et al. Generative machine learning‑based multi‑objective process parameter optimization towards energy and quality of injection molding, Environmental Science and Pollution Research,2023, 30(18):51518-51530 pdf

📚 Patents

  • 彭世通，高宝赟，洪凤莲，一种注塑成型能耗限额快速制定方法、系统及存储介质.
  • 彭世通，杨守兰，高宝赟，一种增材制造制件几何形貌监测方法、系统和存储介质.
  • 彭世通，李翰年，杨守兰，基于核慢特征分析的直接能量沉积缺陷识别方法及系统.
  • 彭世通，丁煜城，杨守兰，郭嘉楠，王奉涛，一种注塑过程中能耗与质量协调监控方法、设备及介质.

🎖 Honors and Awards

  • 2020, Shantou High-level Talents (B-level)

📖 Educations

  • 2020, Ph.D., Dalian University of Technology (supervised by Prof. Hong-Chao Zhang and Prof. Tao Li)
  • 2019, Visiting PhD student, Texas Tech University
  • 2015, M.S., Dalian University of Technology
  • 2013, B.S., Wuhan University of Science and Technology

💻 Fundings

  • 2023, NSFC. ongoing
  • 2022, Guangdong province project. ongoing
  • 2022, Enterprise project. completed
  • 2021, Guangdong province project. completed
  • 2020, STU startup project. ongoing