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
Research areas
- Predictive Modeling
- Simulation and Optimization
- Embodied AI
- Feedforward Control
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Research on Simulation-Based Optimization of Factory Workflow
Cao, N. (PI)
1/08/25 → 31/07/26
Project: Collaborative Research Project
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AI-Driven Feedforward Control for Early Solder Joint Anomaly Detection and Proactive Process Optimization in Electronics Assembly
Cao, N. (PI)
1/07/25 → 30/06/28
Project: Internal Research Project
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Innovative Syntegrative Education initiative: BEng AI- AIAI XEC Pathway
Zhou, M. (PI), Stefanidis, A. (Team member), Su, J. (Team member), Hasan, M. M. (Team member), Chen, Q. (Team member), Li, C. (Team member), Dang, K. (Team member), Jiang, Z. (Team member), Lo, J. (Team member), Xiang, M. (Team member), Cao, N. (Team member), Huang, Y. (Team member), Kim, J. Y. (Team member), Zhang, J. (Team member), Zou, C. (Team member) & Sun, H. (Team member)
1/01/25 → 31/12/27
Project: Internal Research Project
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Research on vision inspection technology for back drilling of AI server substrates
Cao, N. (PI)
Project: Internal Research Project
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Learning to Grasp: Reinforcement Learning for Robotic Manipulation
Cao, N. (PI)
1/06/25 → 28/08/25
Project: Internal Research Project
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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., 2025, 2025 IEEE International Conference on Robotics and Automation, ICRA 2025. Ott, C., Admoni, H., Behnke, S., Bogdan, S., Bolopion, A., Choi, Y., Ficuciello, F., Gans, N., Gosselin, C., Harada, K., Kayacan, E., Kim, H. J., Leutenegger, S., Liu, Z., Maiolino, P., Marques, L., Matsubara, T., Mavromatti, A., Minor, M., O'Kane, J., Park, H. W., Park, H.-W., Rekleitis, I., Renda, F., Ricci, E., Riek, L. D., Sabattini, L., Shen, S., Sun, Y., Wieber, P.-B., Yamane, K. & Yu, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 12549-12556 8 p. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
An iterative guided active learning-based approach for real-time sampling in smart manufacturing systems
Farrag, A., Cao, N., Ghali, M. K., Won, D. & Jin, Y., 2025, (Accepted/In press) In: International Journal of Advanced Manufacturing Technology.Research output: Contribution to journal › Article › peer-review
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BestMan: a modular mobile manipulator platform for embodied AI with unified simulation-hardware APIs
Yang, K., Cao, N., Shao, B., Wang, X., Ding, Y. & Chen, C., Sept 2025, In: Frontiers of Computer Science. 19, 9, 199361.Research output: Contribution to journal › Letter › peer-review
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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
44 Citations (Scopus) -
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
1 Citation (Scopus)