World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
5312
World Ranking
5553
National Ranking
162

Overview

Jie Bao is affiliated with the University of New South Wales in Australia. Their research primarily concentrates on engineering, with a significant volume of work in control and systems engineering, electrical and electronic engineering, and mechanical engineering. Additional subfields include biomedical engineering and fluid flow and transfer processes.

Their research topics cover a range of specialized areas, including advanced control systems optimization, fault detection and control systems, control systems and identification, control and stability of dynamical systems, fuel cells and related materials, mineral processing and grinding, and molten salt chemistry and electrochemical processes.

Jie Bao has contributed extensively to academic literature. Notable recent papers include:

  • Dynamic model based membrane permeability estimation for online SOC imbalances monitoring of vanadium redox flow batteries, 2021, Journal of Energy Storage
  • A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis, 2020, IEEE Transactions on Industrial Informatics
  • A combined data-driven and discrete modelling approach to predict particle flow in rotating drums, 2020, Chemical Engineering Science
  • A data-based soft-sensor approach to estimating raceway depth in ironmaking blast furnaces, 2021, Powder Technology
  • Effect of aliphatic segment length and content on crystallization and biodegradation properties of aliphatic-aromatic co-polyesters, 2022, Polymer Degradation and Stability

Their frequent co-authors include Maria Skyllas-Kazacos, Yitao Yan, Barry J. Welch, Ryan McCloy, and Biao Huang. Collaboration with these researchers reflects a consistent engagement with experts across various domains related to control systems and materials science.

Jie Bao publishes regularly in several academic venues. Key publication outlets include:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Journal of Process Control
  • SSRN Electronic Journal
  • Journal of Energy Storage

This profile presents a comprehensive overview of Jie Bao's research activities, which are marked by a focus on engineering control systems, applied electrochemical processes, and materials engineering. Their academic contributions span both theoretical frameworks and practical applications, reflecting a multidisciplinary approach to engineering challenges.

Best Publications

  • Studies on pressure losses and flow rate optimization in vanadium redox flow battery

    Ao Tang;Jie Bao;Maria Skyllas-Kazacos

  • Process Control: The Passive Systems Approach

    Jie Bao;Peter L. Lee;B. Erik Ydstie

  • 1 kW/1 kWh advanced vanadium redox flow battery utilizing mixed acid electrolytes

    Soowhan Kim;Edwin Thomsen;Guanguang Xia;Zimin Nie

  • Thermal modelling and simulation of the all-vanadium redox flow battery

    Ao Tang;Simon Ting;Jie Bao;Maria Skyllas-Kazacos

  • Investigation of the effect of shunt current on battery efficiency and stack temperature in vanadium redox flow battery

    Ao Tang;John McCann;Jie Bao;Maria Skyllas-Kazacos

  • Robust Multiloop PID Controller Design: A Successive Semidefinite Programming Approach

    J. Bao;J. F. Forbes;P. J. Mclellan

  • Distributed model predictive control based on dissipativity

    Michael James Tippett;Jie Bao

  • A dynamic plug flow reactor model for a vanadium redox flow battery cell

    Yifeng Li;Maria Skyllas-Kazacos;Jie Bao

  • Studies on optimal charging conditions for vanadium redox flow batteries

    Yifeng Li;Xinan Zhang;Jie Bao;Maria Skyllas-Kazacos

  • Decentralized fault-tolerant control system design for unstable processes

    Jie Bao;Wen Z. Zhang;Peter L. Lee

  • Distributed control of plantwide chemical processes

    Shichao Xu;Jie Bao

  • Dynamic Operability Analysis of Nonlinear Process Networks Based on Dissipativity

    Osvaldo J. Rojas;Ridwan Setiawan;Jie Bao;Peter L. Lee

  • Dissipativity based distributed economic model predictive control for residential microgrids with renewable energy generation and battery energy storage

    Xinan Zhang;Jie Bao;Ruigang Wang;Chaoxu Zheng

  • On dissipativity, passivity and dynamic operability of nonlinear processes

    Osvaldo J. Rojas;Jie Bao;Peter L. Lee

  • Machine Learning Coupled Multi‐Scale Modeling for Redox Flow Batteries

    Jie Bao;Vijayakumar Murugesan;Carl Justin Kamp;Yuyan Shao

  • Identification of discrete-time output error model for industrial processes with time delay subject to load disturbance

    Shijian Dong;Tao Liu;Wei Wang;Jie Bao

  • Estimation of spatial alumina concentration in an aluminum reduction cell using a multilevel state observer

    Yuchen Yao;Cheuk-Yi Cheung;Jie Bao;Maria Skyllas-Kazacos

  • The Mechanism and Modelling of Shunt Current in the Vanadium Redox Flow Battery

    Maria Skyllas-Kazacos;John McCann;Yifeng Li;Jie Bao

  • Control of electrolyte flow rate for the vanadium redox flow battery by gain scheduling

    Yifeng Li;Xinan Zhang;Jie Bao;Maria Skyllas-Kazacos

  • Identification of MIMO Hammerstein systems using cardinal spline functions

    Kwong Ho Chan;Jie Bao;William J. Whiten

  • A study on model predictive control in paste thickeners with rake torque constraint

    Chee Keong Tan;Jie Bao;Götz Bickert

  • Characterization of Individual Anode Current Signals in Aluminum Reduction Cells

    Cheuk-Yi Cheung;Chris Menictas;Jie Bao;Maria Skyllas-Kazacos

Frequent Co-Authors

Xinan Zhang
Xinan Zhang University of Western Australia
Jinfeng Liu
Jinfeng Liu University of Alberta
Weidong Zhang
Weidong Zhang Shanghai Jiao Tong University
Mohd Basyaruddin Abdul Rahman
Mohd Basyaruddin Abdul Rahman Universiti Putra Malaysia
Yuyan Shao
Yuyan Shao Pacific Northwest National Laboratory
John E. Fletcher
John E. Fletcher University of New South Wales
Ji-Guang Zhang
Ji-Guang Zhang Pacific Northwest National Laboratory
Wu Xu
Wu Xu Pacific Northwest National Laboratory
Fei Liu
Fei Liu Jiangnan University

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