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Computer Science

D-Index
62
Citations
12738
World Ranking
2954
National Ranking
403

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to discrete-event production systems

Overview

NaiQi Wu is affiliated with Macau University of Science and Technology in China. Their research spans the fields of Engineering and Computer Science, focusing on several specialized subfields and topics within these disciplines.

Their work is concentrated in subfields including Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Artificial Intelligence.

The main topics of research addressed by NaiQi Wu include:

  • Petri Nets in System Modeling
  • Scheduling and Optimization Algorithms
  • Flexible and Reconfigurable Manufacturing Systems
  • Advanced Manufacturing and Logistics Optimization
  • Manufacturing Process and Optimization
  • Formal Methods in Verification
  • Distributed systems and fault tolerance

NaiQi Wu has been published in a variety of venues with a notable presence in:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access
  • IEEE/CAA Journal of Automatica Sinica
  • IEEE Transactions on Automation Science and Engineering

Their recent papers illustrate a focus on control systems, cyber-physical systems security, environmental impacts, and digital production logistics:

  • Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances (2021, IEEE/CAA Journal of Automatica Sinica)
  • Repercussions of COVID-19 pandemic on solid waste generation and management strategies (2021, Frontiers of Environmental Science & Engineering)
  • A Survey on Cyber-Physical Systems Security (2023, IEEE Internet of Things Journal)
  • Group consensus via pinning control for a class of heterogeneous multi-agent systems with input constraints (2020, Information Sciences)
  • Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture (2020, Journal of Manufacturing Systems)

Collaborations are an important part of NaiQi Wu's research, with frequent coauthors including:

  • Zhiwu Li
  • Yan Qiao
  • Shaohua Teng
  • Kaizhou Gao
  • Yisheng An

Their contributions to the field have been recognized with the award of IEEE Fellow in 2019, citing their work on discrete-event production systems.

Best Publications

  • Deadlock Control of Automated Manufacturing Systems Based on Petri Nets—A Literature Review

    ZhiWu Li;NaiQi Wu;MengChu Zhou

  • A Survey and Comparison of Petri Net-Based Deadlock Prevention Policies for Flexible Manufacturing Systems

    Zhi Wu Li;Meng Chu Zhou;Nai Qi Wu

  • System Modeling and Control with Resource-Oriented Petri Nets

    MengChu Zhou;Naiqi Wu

  • Necessary and sufficient conditions for deadlock-free operation in flexible manufacturing systems using a colored Petri net model

    Naiqi Wu

  • A Petri Net Method for Schedulability and Scheduling Problems in Single-Arm Cluster Tools With Wafer Residency Time Constraints

    Naiqi Wu;Chengbin Chu;Feng Chu;Meng Chu Zhou

  • Avoiding deadlock and reducing starvation and blocking in automated manufacturing systems

    N. Wu;MengChu Zhou

  • Pareto-Optimization for Scheduling of Crude Oil Operations in Refinery via Genetic Algorithm

    Yan Hou;NaiQi Wu;MengChu Zhou;ZhiWu Li

  • Resource-Oriented Petri Net for Deadlock Avoidance in Flexible Assembly Systems

    Naiqi Wu;MengChu Zhou;ZhiWu Li

  • Modeling, Analysis and Control of Dual-Arm Cluster Tools With Residency Time Constraint and Activity Time Variation Based on Petri Nets

    Nai Qi Wu;MengChu Zhou

  • Selection of partners in virtual enterprise paradigm

    Naiqi Wu;Ping Su

  • Schedulability Analysis and Optimal Scheduling of Dual-Arm Cluster Tools With Residency Time Constraint and Activity Time Variation

    NaiQi Wu;MengChu Zhou

  • Petri Net Modeling and Cycle-Time Analysis of Dual-Arm Cluster Tools With Wafer Revisiting

    NaiQi Wu;Feng Chu;Chengbin Chu;MengChu Zhou

  • Modeling and deadlock avoidance of automated manufacturing systems with multiple automated guided vehicles

    Naiqi Wu;MengChu Zhou

  • Petri Net-Based Scheduling of Single-Arm Cluster Tools With Reentrant Atomic Layer Deposition Processes

    NaiQi Wu;Feng Chu;Chengbin Chu;MengChu Zhou

  • A Closed-Form Solution for Schedulability and Optimal Scheduling of Dual-Arm Cluster Tools With Wafer Residency Time Constraint Based on Steady Schedule Analysis

    NaiQi Wu;MengChu Zhou

  • Modeling and deadlock control of automated guided vehicle systems

    Naiqi Wu;MengChu Zhou

  • Short-Term Scheduling of Crude-Oil Operations: Enhancement of Crude-Oil Operations Scheduling Using a Petri Net-Based Control-Theoretic Approach

    NaiQi Wu;MengChu Zhou;ZhiWu Li

  • Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances

    Qinglai Wei;Xin Wang;Xiangnan Zhong;Naiqi Wu

  • Deadlock Resolution in Automated Manufacturing Systems With Robots

    Naiqi Wu;MengChu Zhou

  • Optimal One-Wafer Cyclic Scheduling and Buffer Space Configuration for Single-Arm Multicluster Tools With Linear Topology

    Liping Bai;Naiqi Wu;Zhiwu Li;MengChu Zhou

  • Shortest Routing of Bidirectional Automated Guided Vehicles Avoiding Deadlock and Blocking

    NaiQi Wu;MengChu Zhou

Frequent Co-Authors

MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
Feng Chu
Feng Chu University of Évry Val d'Essonne
Chengbin Chu
Chengbin Chu École Supérieure d'Ingénieurs en Électrotechnique et Électronique
Abdulrahman Al-Ahmari
Abdulrahman Al-Ahmari King Saud University
Rong Su
Rong Su Nanyang Technological University
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Haibin Zhu
Haibin Zhu Nipissing University
George Q. Huang
George Q. Huang Hong Kong Polytechnic University
Qinglai Wei
Qinglai Wei Macau University of Science and Technology

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