I joined the College of Electrical Engineering and Automation (Homepage) at Fuzhou University with Prof. Zhezhuang Xu. I received my Doctor of Engineering supervised by Prof. Jiming Chen, Prof. Shibo He, and Asst.Prof. Chaojie Gu at Zhejiang University, China. I received my Master of Engineering degree with the College of Electrical Engineering and Automation, Fuzhou University supervised by Prof. Zhezhuang Xu.

My research interests cover Industrial Internet of Things (e.g., OPC UA), Intelligent Production Scheduling, and Artificial Intelligence applications in the industrial manufacturing field (e.g., Reinforcement Learning and Large Language Models). My current research projects mainly focus on LLM/DRL-based data collection, resource optimization, and production scheduling within multi-objective, dynamic interference, and complex (i.e., large-scale and distributed collaboration) industrial discrete manufacturing environments.

I have published 10+ papers at the top journal/conference such as TII, IoTJ, JAS, INDIN, ICPS, etc.. Welcome to reach out via email: rkwang.cn@gmail.com (Permanent) / rk_wang@zju.edu.cn (Academic).

🔥 News

📝 Publications

JAS 2024
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Text2UA: Automatic OPC UA Information Modeling from Textual Data with Large Language Model
Rongkai Wang, Shibo He, Chaojie Gu, Jiming Chen

Project

  • Accept! Code is available!.
IoTJ 2024
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End-to-end Multi-target Flexible Job Shop Scheduling with Deep Reinforcement Learning
Rongkai Wang, Yiyang Jing, Chaojie Gu, Shibo He, Jiming Chen

Project

  • Code is coming soon.
JSA 2022
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An Interoperable and Flat Industrial Internet of Things Architecture for Low Latency Data Collection in Manufacturing Systems
Rongkai Wang, Chaojie Gu, Shibo He, Zhiguo Shi, Wenchao Meng

Project

  • Corresponding to the National Key R&D Program of China’s Networked Collaborative Manufacturing and Smart Factory initiative.
TII 2018
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FaceME: Face-to-Machine Proximity Estimation Based on RSSI Difference for Mobile Industrial Human–Machine Interaction
Zhezhuang Xu(Tutor), Rongkai Wang, Xi Yue, Ting Liu, Cailian Chen, Shih-Hau Fang

Project

  • Corresponding to the National Natural Science Foundation of China’s Research on Mobile Access and Dynamic Routing Mechanism of Industrial Human-Machine Interaction Network Based on Wireless Sensor Network.
ICITES 2020
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Leveraging Relational Database for Fast Construction of OPC UA Information Model
Rongkai Wang, Shibo He, Yang Liu, Chengwei Zhou, Zhiguo Shi, Jiming Chen.

Project

  • Win the Best Paper Award.

👋 Projects

2022 National Key R&D Program of China
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Field-level Industrial Internet of Things Architecture and Interoperability Technologies for Smart Factories
Zhiguo Shi, Shibo He, Rongkai Wang (student leader and main participant)

2019.06-2022.12, Project Concluded (Excellent) | Project No.: 2018YFB1702101

  • Sub-project of the Key Special Project on Networked Collaborative Manufacturing and Smart Factories under the National Key R & D Program of China: “Research and Development of Key Field-level Industrial Internet of Things Devices for Smart Factories”, Project Leader: Cailian Chen
  • 2020.01-2022.12: Key Technologies and Demonstration Applications of Industrial Internet of Things for Intelligent Production Lines, The Key Special Project on International Scientific and Technological Innovation Cooperation between Governments under the National Key R & D Program of China, Project No.: SQ2018YFE011556, Project Concluded. Main Participant.
  • 2020.01-2023.12: Theories and Methods of Distributed Autonomous Learning for Networked Intelligent Manufacturing, Zhejiang Province Joint Key Fund for the Integration of Informatization and Industrialization under the National Natural Science Foundation of China, Project No.: U1909207, Project Concluded. Main Participant.
  • 2021.06-2023.06: Research on Key Technologies of Industrial Cloud and Industrial Internet for Intelligent Manufacturing, Major Common Key Technology Research Project of Pengcheng National Laboratory. Project No.: PCL2021A09, Project Concluded. Main Participant.

📚 Academic services

  • Membership: IEEE, CAA.
  • Journal Reviewer: IEEE Transactions on Industrial Informatics (TII) / IEEE Internet of Things Journal (IoTJ) / IEEE Open Journal of the Industrial Electronics Society (OJIES) / IEEE Transactions on Vehicular Technology (TVT) / IEEE Transactions on Network Science and Engineering (TNSE) / Cluster Computing / Molecular & Cellular Biomechanics (MCB).
  • Conference Reviewer: International Joint Conference on Neural Networks (IJCNN) / IEEE International Conference on Industrial Informatics (INDIN) / International Conference on Computer Science and Application Engineering (CSAE) / International Conference on Advanced Sensing and Intelligent Systems (ICASIS) / International Conference on Innovation and Technopreneurship (ICIT) .

🎖 Honors and Awards

  • 2025.03 Outstanding Graduate Student of Zhejiang University.
  • 2023.12 Outstanding Practical Achievement of Postgraduate Students in Zhejiang Province / First Prize in Zhejiang University.
  • 2021.10 IEEE ICITES Best Paper Award.
  • 2019.03 Outstanding Thesis/Graduate Student of Fuzhou University.
  • 2018.11 Chinese National Scholarship for M.S. Students (2%).
  • 2016.06 Outstanding Graduate Student of Hangzhou Dianzi University.
  • 2013.12 Second Prize in Zhejiang Province University Physics Innovation Competition.

📖 Educations

  • 19.09 - 25.03 (D.Eng), College of Control Science and Engineering, State Key Lab. of Industrial Control Technology, Zhejiang University. I major in Electronic Information, supervised by Prof. Jiming Chen, Prof. Shibo He, and Asst.Prof. Chaojie Gu.
  • 16.09 - 19.06 (M.S.), College of Electrical Engineering and Automation, Fuzhou University. I major in Control Theory and Control Engineering, supervised by Prof. Zhezhuang Xu.
  • 12.09 - 16.06 (B.S.), College of Automation, Hangzhou Dianzi University. I major in Electrical Engineering and Automation (Rank: Top 10%).

💬 Invited Talks

  • 2025.05.27, Zhejiang Sci-Tech University, “Deep reinforcement learning for flexible job shop scheduling problem”| [video]

💻 Internships