Dong Liu | Data Driven Control | Best Researcher Award

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Prof. Dong Liu | Data Driven Control | Best Researcher Award

Deputy Director of Provincial Key Laboratory at Shenyang Aerospace University, China

Dong Liu is an Associate Professor at the College of Automation, Shenyang Aerospace University, China. He is a leading researcher in the field of control theory and engineering, especially recognized for his work on data-driven control, model-free adaptive control, and secure control systems. He plays active roles in various national technical committees related to automation, command and control, and artificial intelligence.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Control Theory and Control Engineering,
    Northeastern University, China — 2018

Professional Experience 💼

  • Associate Professor,
    College of Automation, Shenyang Aerospace University

  • Deputy Director,
    Liaoning Provincial Key Laboratory of Advanced Flight Control and Simulation Technology

  • Recognized as a High-Level Talent by Shenyang Municipality

Committee Roles:

  • Committee Member, Technical Committee on Data-Driven Control, Learning, and Optimization (Chinese Association of Automation)

  • Committee Member, Technical Committee on Intelligent Control and Systems (Chinese Command and Control Association)

  • Committee Member, Technical Committee on Intelligent Detection and Motion Control Technology (Chinese Association for Artificial Intelligence)

Research Interests 🔬

  • Data-Driven Control

  • Model-Free Adaptive Control (MFAC)

  • Secure Control Systems

  • Sliding Mode Control

  • Cyber-Physical Systems

  • Prescribed Performance Control

  • Aerospace Control Applications

  • Event-Triggered and Reinforcement Learning-based Control

Awards and Honors🏆✨

  • Recognized as High-Level Talent by the Shenyang Municipality

  • Appointed Deputy Director of a Provincial Key Laboratory

  • Holds Multiple Technical Committee Memberships in prestigious national associations

Conclusion🌟

Dr. Dong Liu is an influential scholar in control engineering, especially in data-driven and model-free adaptive control systems with an emphasis on robustness, security, and real-time applications in aerospace and cyber-physical systems. His high-impact journal publications and leadership roles in national technical committees underline his strong academic and technical contributions. He is actively shaping the future of intelligent control in China and internationally.

Publications 📚

📘 Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks
✍️ Yijie Yang, Dong Liu, Xin Wang, Zhujun Wang
🗞️ Journal of Process Control, June 2025
🔗 DOI: 10.1016/j.jprocont.2025.103422

📘 Prescribed performance based data-driven adaptive sliding mode control for discrete-time nonlinear systems
✍️ Dong Liu, Yi-Jie Yang, Li-Ying Hao
🗞️ Journal of the Franklin Institute, March 2024
🔗 DOI: 10.1016/j.jfranklin.2024.01.021

📘 Data-Driven Bipartite Consensus Tracking for Nonlinear Multiagent Systems With Prescribed Performance
✍️ Dong Liu, Zhi-Peng Zhou, Tie-Shan Li
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2023
🔗 DOI: 10.1109/TSMC.2022.3230504

📘 Event‐triggered model‐free adaptive control for nonlinear systems with output saturation
✍️ Dong Liu, Ning Liu, Tieshan Li
🗞️ Int. Journal of Robust and Nonlinear Control, August 2023
🔗 DOI: 10.1002/rnc.6747

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, December 2019
🔗 DOI: 10.1109/TSMC.2017.2779564

📘 Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Neural Networks and Learning Systems, July 2019
🔗 DOI: 10.1109/TNNLS.2018.2881205

📘 Model-Free Adaptive Control Design for Nonlinear Discrete-time Processes with Reinforcement Learning Techniques
✍️ Dong Liu
🗞️ International Journal of Systems Science, July 2018
🔗 [Link not provided]

📘 Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes
✍️ Dong Liu
🗞️ Journal of Process Control, June 2018
🔗 [Link not provided]

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, November 2017
🔗 [Link not provided]

📘 Event-based model-free adaptive control for discrete-time non-linear processes
✍️ Dong Liu
🗞️ IET Control Theory & Applications, September 2017
🔗 [Link not provided]

📘 Neural network-based event-triggered MFAC for nonlinear discrete-time processes
✍️ Dong Liu
🗞️ Neurocomputing, July 2017
🔗 [Link not provided]

ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

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Assist. Prof. Dr. ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

BEST RESEARCHER at International University of rabat, Morocco

Abla Chaouni Benabdellah is an Assistant Professor of Supply Chain Management and Information Systems at Rabat Business School, International University of Rabat (UIR). She holds a Ph.D. in Industrial Engineering from Moulay Ismail University, Meknes, and a Master’s in Mathematics and Statistics from Mohamed V University, Rabat. With extensive teaching experience across various institutions including EUROMED University and Private University of Fez, she specializes in project management, risk management, and supply chain strategies.

Publication Profile : 

Scopus

🎓 Educational Background :

  • Ph.D. in Industrial Engineering (2016 – 2019), Moulay Ismail University, ENSAM, Meknes
  • Master in Mathematics and Statistics (2012 – 2014), Mohamed V University, Rabat
  • Bachelor in Applied Mathematics (2009 – 2012), Moulay Ismail University, Faculty of Science, Meknes
  • Baccalaureate in Mathematics (2008 – 2009), Moulay Ismail College, Meknes

💼 Professional Experience :

  • Assistant Professor of Supply Chain Management & Information Systems (Since 2022), Rabat Business School, International University of Rabat (UIR), Rabat
  • Human Resources Consultant (2021), Expert Human Capital (EHC), Casablanca
  • Professor (2020), School of Digital Engineering and Artificial Intelligence (EIDIA), EUROMED University, Fez
  • Professor (2020), Private University of Fez, Fez
  • Seminar Presenter (2020), “Holonic Multi-Agent Systems for Decision Making -Application to Knowledge Management-“, ENSAM, Meknès
  • Doctoral Course Instructor (2019), Statistical Modeling with R Software, ENSAM-Meknès
  • Coordinator (2018), Artificial Intelligence and Data Science Master, SUPMTI, Meknes
  • Professor (2016), Higher School of Management, Telecommunications and IT (SUPMTI), Meknes

📚 Research Interests : 

  • Supply Chain Management
  • Industrial Engineering
  • Digital Supply Chains
  • Blockchain Technology
  • Artificial Intelligence and Data Science
  • Statistical Modeling

📝 Publication Top Notes :

  1. Blockchain Technology in Supply Chains: Discusses blockchain’s role in enhancing digital supply chains and evaluates implementation barriers.
  2. Big Data Analytics in Supplier Selection: Explores a multi-agent system for supplier selection using big data analytics.
  3. Smart Product Design and Digital Agility: Develops an ontology for managing agility in digital product design.
  4. Blockchain and Smart Contracts in Automotive Supply Chains: Examines how blockchain and smart contracts can optimize automotive supply chains.
  5. Medical Waste Management Optimization: A multi-agent system approach for improving medical waste management.
  6. Sustainable Supplier Selection in Circular Economy: Uses an ontology-based model to improve supplier selection under a circular economy framework.
  7. Environmental Supply Chain Risk Management: Proposes a data mining framework for managing supply chain risks in Industry 4.0.
  8. Lean and Green Practices in Supply Chains: Integrates lean and green practices to enhance sustainable and digital supply chain performance.
  9. Digital Technologies and Circular Economy: Investigates how digital technologies support sustainable supply chain management post-COVID-19.
  10. Circular Digital Supply Chain Design: Focuses on sustainable design practices within digital supply chains.
  11. Supplier Selection Ontology: Develops an ontology for effective supplier selection in digital supply chains.
  12. Intersection of Design for X and Business Strategies: Analyzes the integration of design techniques and business strategies for product lifecycle management.
  13. Knowledge Discovery for Sustainability: Discusses methods for enhancing sustainability through knowledge discovery in design processes.