Projects per year
Personal profile
Personal profile
Dr. Nieqing Cao is an Assistant Professor in the School of Intelligent Manufacturing Ecosystem at XJTLU. She received her Ph.D. degree in Industrial and Systems Engineering from the State University of New York at Binghamton, and earned her M.S. and B.S. degrees from Wuhan University of Technology.
Dr. Cao's research focuses on advancing smart manufacturing by integrating machine learning, Artificial Intelligence (AI), and data-driven modeling to optimize manufacturing processes, enhance quality control, and enable anomaly prediction. Her works support real-time decision-making tailored to complex industries, including electronics manufacturing and pharmacy automation. She specializes in leveraging generative AI, explainable and physics-informed machine learning, and simulation-driven insights to bridge data science and manufacturing systems, driving innovations in predictive analytics, production line automation, and system intelligence. Other current research interests include robotics and embodied AI, focusing on mobile manipulation and task planning in open-world environments.
Dr. Cao conducted research projects in academia, funded by the U.S. National Science Foundation (NSF), as well as in industry. The outcomes of these projects have been integrated into companies' AI optimizer solutions (e.g., Koh Young Technology Inc. and iA Pharmacy Automation Company), benefiting prominent customers such as Apple Inc. and Amazon.
Research interests
Quality inspection optimization
Predictive modeling and simulation for complex engineering system
Realtime control in smart manufacturing
Large-scale data mining optimization
Embodied AI and robotics
Experience
Assistant Professor, XJTLU, China, 2024 - Present
Graduate Research Associate, State University of New York at Binghamton, U.S., 2020 - 2024
Teaching Assistant, State University of New York at Binghamton, U.S., 2019 - 2022
Teaching
DTS408TC Big Data Mining, Analysis, and Management
Related documents
Education/Academic qualification
PhD, Industrial and Systems Engineering, State University of New York Binghamton University
2019 → 2024
Master, Wuhan University of Technology
2016 → 2019
Bachelor, Wuhan University of Technology
2012 → 2016
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
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Projects
- 1 Not started
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AI-Driven Feedforward Control for Early Solder Joint Anomaly Detection and Proactive Process Optimization in Electronics Assembly
1/07/25 → 30/06/28
Project: Internal Research Project
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Physics-Informed Machine Learning for metal additive manufacturing
Farrag, A., Yang, Y., Cao, N., Won, D. & Jin, Y., Jan 2025, In: Progress in Additive Manufacturing. 10, 1, p. 171-185 15 p., 110008.Research output: Contribution to journal › Review article › peer-review
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Sim2Joint: Dynamic hybrid model for solder joint prediction across Sim2Real
Cao, N., Kim, J., Farrag, A., Won, D. & Yoon, S. W., Jun 2025, In: Robotics and Computer-Integrated Manufacturing. 93, 102926.Research output: Contribution to journal › Article › peer-review
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A Dual-Tree Complex Wavelet Transform Simulation Model for Improved Noise Modeling and Prediction of Real-Time Stencil-Printing Process
Gupta, R., Cao, N., Won Yoon, S., Jin, Y. & Won, D., 2024, In: IEEE Transactions on Components, Packaging and Manufacturing Technology. 14, 10, p. 1872-1880 9 p.Research output: Contribution to journal › Article › peer-review
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A Hybrid Model for Solder Joint Height Prediction Based on Physical Knowledge and Machine Learning
Cao, N., Farrag, A., Kim, J., Won, D. & Yoon, S. W., 2024, Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order. Wang, Y-C., Chan, S. H. & Wang, Z-H. (eds.). Cham: Springer Nature Switzerland, p. 39-46 8 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots
Zhaxizhuoma, Chen, P., Wu, Z., Sun, J., Wang, D., Zhou, P., Cao, N., Ding, Y., Zhao, B. & Li, X., 2024, arxiv.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding
Open Access