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
MFE310TC Natural Language Processing and Deep Learning
MFE411TC Big Data Analysis for Manufacturing
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
Fingerprint
Dive into the research topics where Nieqing Cao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
-
AIOT empowered the PLB in the innovation and entrepreneur in smart city
Liu, Y. (PI), Lu, Q. (Team member), Cao, N. (Team member), Hu, X. (Team member), Gu, Y. (Team member), Xu, Z. (Team member), Arshad, M. R. (Team member), Chen, W. (Team member), He, R. (Team member), Lian, B. (Team member), Ma, T. (Team member), Zhou, L. (Team member) & Gao, P. (Team member)
1/09/26 → 31/08/28
Project: Internal Research Project
-
From Student-Generated Data to Industry Applications: A Cross-Level Syntegrative Education Initiative in AI Learning
Cao, N. (PI), Huang, B. (Team member), Huang, L. (Team member), Xu, Z. (Team member), Liu, J. (Team member), Liu, J. (Team member), Liu, Y. (Team member), Zhu, F. (Team member), Zhao, Y. (Team member), Ji, Q. (Team member), Yang, R. (Team member), Huo, Y. (Team member), Jin, A. (Team member), Yao, L. (Team member), He, T. (Team member), Xu, Y. (Team member), Zhao, J. (Team member), Li, T. (Team member), Meng, F. (Team member) & Ding, Y. (Team member)
6/07/26 → 31/08/28
Project: Internal Research Project
-
Research on Auxiliary Assessment Method for Difficult Airways Based on Multimodal Feature Fusion
Cao, N. (PI) & Shen, Z. (PI)
1/07/26 → 30/06/27
Project: Collaborative Research Project
-
COESE: Scaling Project-Based Learning through Additive Manufacturing across XJTLU Entrepreneur College
Xu, Z. (PI), Xu, X. (Team member), Liu, J. (Team member), Cao, N. (Team member), Li, Q. (Team member), Liu, Y. (Team member), Ateeq, M. (Team member), Xu, J. (Team member), LEFEVRE, P. (Team member), Li, H. (Team member), Huang, W. (Team member), Wang, N. (Team member), Hou, C. (Team member), Tinsley, J. (Team member) & Garg, A. (Team member)
1/01/26 → 31/12/27
Project: Internal Research Project
-
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
-
MoMa-Pos: An Efficient Object-Kinematic-Aware Base Placement Determination Framework for Mobile Manipulation
Shao, B., Cao, N., Ding, Y., Wang, X., Gu, F. & Chen, C., 2 Apr 2026, Algorithms and Architectures for Parallel Processing - 25th International Conference, ICA3PP 2025, Proceedings. Liu, H., Ibrahim, S. & Rauber, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 254-270 17 p. (Lecture Notes in Computer Science; vol. 16383 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
One-to-Two Acting: A Novel Framework for Single-arm Agent Action Expansion to Dual Arms
Yao, Y., Cao, N., Li, M., Ding, Y., Gu, F. & Chen, C., 5 Jul 2026.Research output: Contribution to conference › Paper › peer-review
Open Access -
OVA-Fields: Weakly Supervised Open-Vocabulary Affordance Fields for Robot Operational Part Detection
Su, H., Xie, M., Cao, N., Ding, Y., Shao, B., Long, X., Gu, F. & Chen, C., 29 Apr 2026, 2025 IEEE/CVF International Conference on Computer Vision (ICCV). p. 6385-6395 11 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
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 Access3 Citations (Scopus) -
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., 16 Dec 2025, In: International Journal of Advanced Manufacturing Technology.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
Activities
-
Train a Robot from Your Own Demonstrations: From Data Collection to Skill Learning
Cao, N. (Supervisor)
1 Jun 2026 → 28 Aug 2026Activity: Supervision › Completed SURF Project
-
Prediction-Oriented Quality in Surface Mount Technology Manufacturing
Cao, N. (Co-supervisor)
1 Mar 2026 → 3 Sept 2026Activity: Supervision › PhD Supervision
-
2025 Conference on Robot Learning (CoRL)
Cao, N. (Participant)
27 Sept 2025 → 30 Sept 2025Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
-
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS (Journal)
Cao, N. (Reviewer)
1 Sept 2025 → 19 Mar 2026Activity: Peer-review and editorial work of publications › Publication Peer-review
-
IEEE Transactions on Industrial Informatics (Journal)
Cao, N. (Reviewer)
2 Aug 2025 → 9 Jan 2026Activity: Peer-review and editorial work of publications › Publication Peer-review