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Dr. Juan Du (杜娟), Assistant Professor,
Smart Manufacturing Thrust, Systems Hub
Data Science and Analytics Thrust, Information Hub
The Hong Kong University of Science and Technology (Guangzhou)
The Hong Kong University of Science and Technology
Principal Investigator, Industrial Data Analytics and Digital Manufacturing Lab
Associate Director, Industrial Intelligence and Data Analytics Lab
Senior Member of IISE and IEEE
Office: W1 506, Phone: (86) 020-88335989
Email: juandu@hkust-gz.edu.cn, juandu@ust.hk
Links: Google Scholar, ResearchGate, IDADM Lab
Bio: Dr. Juan Du is currently an Assistant Professor with the Smart Manufacturing Thrust and Data Science and Analytics Thrust, The Hong Kong University of Science and Technology (Guangzhou), China. She is also affiliated with the Hong Kong University of Science and Technology, Hong Kong SAR, China, and Guangzhou HKUST Fok Ying Tung Research Institute, Guangzhou, China. Her current research interests include industrial data analytics, machine learning, and artificial intelligence for modeling, monitoring, control, diagnosis, and optimization in smart manufacturing systems.
Dr. Du’s significant contributions to the field are evident in her impressive publication record, with more than 30 high-profile research papers featured in leading flagship journals and conferences such as IISE Transactions, IEEE Transactions on Automation Science and Engineering, ASME Journal of Manufacturing Science and Engineering, Technometrics, Journal of Quality Technology, ICCV. Among these works, more than 10 papers have won the best paper awards or finalists from organizations such as the 2025 IISE Transactions Best Paper Award (Design and Manufacturing Focus Issue), 2024 CSAMSE Annual Conference Best Practice Award, 2025 Best Paper Award from IISE Data Analytics and Information Systems (DAIS) Section, 2018 INFORMS Quality, Statistics and Reliability (QSR) Section, 2019 and 2020 INFORMS Data Mining Section. She is a recipient of three prestigious early-career awards, including the 2025 Feigenbaum Medal from ASQ, the 2025 Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award from IISE, the 2024 Susan Smyth Outstanding Young Manufacturing Engineer Award from SME. Moreover, her cutting-edge interdisciplinary research in smart manufacturing has earned her more than 10 grants as a PI and 6 grants as a Co-PI or Co-I, funded by governments and industries, including the National Natural Science Foundation of China (NSFC).
As a dedicated advisor, she is actively working with Ph.D. students, Mphil students, research assistants and visiting students. Her students also get recognitions such as 2025 IISE Transactions Best Paper Award (Design and Manufacturing Focus Issue), 2025 IISE the Data Analytics and Information Systems (DAIS) Best Paper Award Winner, 2024 CSAMSE Annual Conference Best Practice Award (2nd Prize), 2024 CSIE& CIEDH Best Application Paper (1st Prize), the IPO Best Research Award from HKUST (only 2 students get this award in Guangzhou Campus from all disciplines), 2023 IISE the Data Analytics and Information Systems (DAIS) Data Analytics Competition Award Winner, and 2022 IISE Quality Control and Reliability Engineering (QCRE) Best Student Paper Award Finalist. Her students have very good first positions for their careers after graduation.
Mission: Revolutionize the manufacturing industry by using data analytics, machine learning, and artificial intelligence for significant quality and productivity improvement, cost reduction, and energy conservation.
Employment:
2024-present, Associate Director, Industrial Intelligence and Data Analytics Lab, The Hong Kong University of Science and Technology (Guangzhou)
2024-present, Assistant Professor, Data Science and Analytics Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
2023-present, Assistant Professor, Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology
2021-present, Assistant Professor, Smart Manufacturing Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
2021-present, Affiliate Assistant Professor, The Hong Kong University of Science and Technology, Hong Kong, China.
2020, Assistant Professor, Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China
Research Interests:
Knowledge-infused data science for quality improvement
Industrial data analytics, machine learning, and artificial intelligence
System informatics and control for manufacturing applications
Group Openning:
Dr. Juan Du's group has openings for visiting Ph.D. students/Professors, Ph.D. students and postdocs. Self-motivated Students in engineering, statistics, and computer science with a strong mathematics background and coding skills are encouraged to apply. If you are interested in pursuing a PhD in the areas of smart manufacturing, data science and analytics, artificial intelligence, and Automation, please send your information (e.g. CV, transcripts, research proposal/interest, and papers) to idadm@hkust-gz.edu.cn with a copy to juandu@hkust-gz.edu.cn. Accepted students and postdocs will be provided with full highly competitive financial support.
Postdoc Openings:
We are seeking self-motivated candidates with arelevant bakgrounds to our group research. Students with computer vision, machine learning, statistics, operations research, automation, manufacturing, and industrial engineering are very welcome to apply.
1-2 openings starting from the 2026 Spring/Fall.
PhD opportunities:
The students with one or more following backgrounds will be preferred:
Undergraduate GPA ranking should be top 5% or top 3
Master students should have good (relevant) publication record
There is no deadline. Applications are welcome throughout the year
Scholarship: 720,000 RMB/four years depending on qualifications and performance
Note: I am sorry that I cannot reply all the inquiry emails. Only the possible applicants will get my reply.
More information also can be referred to the LAB website.
News:
June 2025: Prof Du has been elected as one of the board directors for the IISE QCRE division.
May 2025: Our paper received the IISE DAIS Best Paper 1st Place for the DAIS track paper competition at the IISE Annual conference.
May 2025: Our paper received the IISE Transactions Best Paper Award (Design and Manufacturing Focus Issue) and delivered the invited talk at the best paper award session at the IISE Annual conference.
March 2025: Prof Du has been selected for the 2025 Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award from IISE! Congratulations! This awards celebrates the outstanding leadership throughout career, service to IISE, and have contributed greatly to IISE profession.
Feb 2025: Prof. Du is selected to serve as the editorial board member for the journal Frontiers of Engineering Management, which was established by the Chinese Academy of Engineering.
Feb 2025: Welcome Mr. Siyuan He, Rui Wang and Dongheng Chen joining us as PhD students! Welcome Mr. Yifan Wang joining us as RA!
January 2025: Prof. Du is awarded ASQ Feigenbaum Medal. The citation reads "For exhibiting exceptional leadership, professionalism, and potential in the field of quality control for complex multi-stage manufacturing systems at a young age; for research methodologies that have addressed the real-world manufacturing challenges for quality improvement via data analytics with significant impacts." The Feigenbaum Medal is presented to the individual who is 35 years of age or younger, who has displayed outstanding characteristics of leadership, professionalism, and potential in the field of quality and also whose work has been or, will become of distinct benefit to mankind.
December 2024: Prof. Du is elevated as IEEE Senior Member from IEEE. Congratulations!
October 2024: Welcome RA students Rui Wang, Siyuan HE, Baoquan Cao, Yanshuo Zhang and Mphil student Kaiwen Lin join IDADM Lab!
August 2024: Welcome PhD students Letian Bai, Mingze Gong, and Jiaping Cao join IDADM Lab!
August 2024: Prof. Juan Du and IDADM members received the 2024 Best Application Paper (First Prize) at the Annual International Conference for Chinese Scholars in Industrial Engineering (CSIE) & Chinese Industrial Engineering and Logistics Management Department Heads (CIEDH). Only 1 paper can be recognized as First Prize for this conference
July 2024: Prof. Juan Du and IDADM members received the 2024 CSAMSE Annual Conference Best Practice Award (2nd Prize). This award recognizes and celebrates an outstanding contribution in applying the principles of Management Science and Engineering to address a real-world challenge.
July 2024: Our paper "MFRL-BI: Design of a model-free reinforcement learning process control scheme by using Bayesian inference" is selected as 2024 ICQSR conference Best Paper Award Finalists. Only 4 papers are selected as Finalists.
March 2024: Prof. Juan Du received 2023 Year of Teacher Nomination Award at HKUST(GZ)
December 2023: Prof. Juan Du received the prestigious SME Susan Smyth Outstanding Young Manufacturing Engineer Award from the Society of Manufacturing Engineers. Since 1980, the SME Outstanding Young Manufacturing Engineer Award has recognized manufacturing engineers, age 35 or younger, who have made exceptional contributions and accomplishments in the manufacturing industry.
October 2023: Prof. Juan Du is awarded the Best Contribution to First Year Undergraduate Recruitment Award.
June 2023: Chengyu Tao passes PQE. Congratulations!
May 2023: Our paper “Interpretation and Visualization of Distance Covariance through Additive Decomposition of Correlations Formula” won the Best Track Paper Award, IISE, the Data Analytics and Information Systems (DAIS) Section, 2023. Congratulations!
May 2023: Our paper "Anomaly Detection for Fabricated Artifact by Using Unstructured 3D Point Cloud Data" has been selected as Editor's Choice to an IISE Transactions Invited Session at INFORMS 2023. Congratulations, Chengyu!
April 2023: Dr. Du's proposal on "Quality Improvement of Manufacturing Systems in Digital Twins" has been successfully funded. Thanks for the support!
Nov 2022: Dr. Du's proposal on "Monitoring and Fault Diagnosis of Manufacturing Systems under Complex Data-Rich Environment" has been successfully funded. Thanks for the support!
August 2022: Welcome Xuanming Cao to join our group!
June 2022: Welcome Peng Ye and Hao Xu to join our group!
April 2022: Our paper "Anomaly Detection for Fabricated Artifact by Using Unstructured 3D Point Cloud Data" won the 2022 IISE QCRE Best Student Paper Award Finalist. Congratulations, Chengyu Tao!
Feb 2022: Dr. Du's proposal on "Quality monitoring and control of semiconductor manufacturing process based on high dimensional data" has been successfully funded by GZ Municipal Science and Technology Bureau. Thanks for the support!
October 2021: Dr. Juan Du and PhD student Chengyu Tao attend the Aeromart China 2021. [News Link]
August 2021: Welcome Chengyu and Yukun to join our group!
May 2021: Our paper "Real-Time Monitoring of Complex Correlated Multi-Channel Profiles in Advanced Manufacturing System" has been selected as one among four finalists of Best Student Paper Award from the Quality Control and Reliability Engineering (QCRE) Section at IISE 2021 Annual Meeting. The oral competition will be held at IISE 2021 Annual Meeting.
May 2021: Our proposal "Research and Industrialization of Intelligent ceramic production line management and analysis platform" has been successfully funded by HKUST-FRISM. Thanks for the support!
April 2021: PhD student Yanrong Li from SJTU visits our group for one year. Welcome, Yanrong!
Dec 2020: I'm seeking highly self-motivated postdoc. If you are interested, please send your CV and representative publications to me.
Oct 2020: Our paper "Optimal Shape Control via L-infinity Loss for Composite Fuselage Assembly " has been selected as one among four finalists of Best Paper Award from the Data Mining Section at INFORMS 2020 Annual Meeting. The oral competition will be held at INFORMS 2020 Annual Meeting.
Oct 2020: Juan is awarded the Outstanding Ph.D. Thesis Award from the Chinese Society of Management Science and Engineering. (Note: Only 10 theses are awarded from all research fields within Management Science and Engineering in the greater China area per year.)
Sep 2020: Juan is awarded NSFC Program for the proposal "Modeling and online process monitoring of high-density 3D point cloud data based on sparse learning". Thanks for the support!
June 2020: Juan is awarded Young Scientific Talent YANG FAN Program from Shanghai Science and Technology Commission for the proposal "Multistage manufacturing process monitoring and control based on reinforcement learning". Thanks for the support!
September 2019: We received the 2019 INFORMS Best (General) Paper Award Finalist from the Data Mining Section, for our paper entitled " Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation".
May 2019: Our paper "Optimal Placement of Actuators for Composite Fuselage Shape Control via Sparse Learning” is accepted by ASME transactions, Journal of Manufacturing Science and Engineering.
May 2019: Juan gets full financial student support from the Institute for Data Engineering and Science at Georgia Tech to attend the Symposium on Machine Learning in Science and Engineering, June 9-12, 2019.
October 2018: Our paper "A Physics-specific Change Point Detection Method using Torque Signals in Pipe Tightening Processes " is accepted by IEEE Transactions on Automation Science and Engineering.
September 2018: We received the 2018 INFORMS Best Refereed Paper Award Finalist from the Quality, Statistics, and Reliability (QSR) Section, for our paper entitled "Optimal Placement of Actuators for Composite Fuselage Shape Control ”.
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