World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
31
Citations
4286
World Ranking
9673
National Ranking
99

Overview

Yi Cao is affiliated with Lund University in Sweden and has contributed extensively to the field of engineering, focusing primarily on control and systems engineering. Their research spans a broad range of subfields including mechanical engineering, aerospace engineering, biomedical engineering, and statistics, probability, and uncertainty.

The scientist's main research topics include:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Risk and Safety Analysis
  • Extremum Seeking Control Systems
  • Iterative Learning Control Systems
  • Spectroscopy and Chemometric Analyses
  • Mineral Processing and Grinding

Yi Cao has published in several frequent venues, reflecting a focus on safety, process optimization, and industrial applications, including:

  • SSRN Electronic Journal
  • Process Safety and Environmental Protection
  • Industrial & Engineering Chemistry Research
  • Processes
  • IFAC-PapersOnLine

The scientist has collaborated regularly with a group of coauthors who appear frequently alongside them in publications. These include:

  • Shuang-Hua Yang
  • Chenchen Zhou
  • Hongxin Su
  • Zuzhen Ji
  • X. Tang

Some of the recent papers authored or coauthored by Yi Cao are:

  • "Harmonizing safety and security risk analysis and prevention in cyber-physical systems," 2021, published in Process Safety and Environmental Protection
  • "Air curtain dust-collecting technology: Investigation of industrial application in tobacco factory of the air curtain dust-collecting system," 2021, Process Safety and Environmental Protection
  • "A Kernel Design Approach to Improve Kernel Subspace Identification," 2020, IEEE Transactions on Industrial Electronics
  • "Integrating diminished quality of life with virtual reality for occupational health and safety training," 2022, Safety Science
  • "Source term estimation with deficient sensors: Traceability and an equivalent source approach," 2021, Process Safety and Environmental Protection

Yi Cao's work covers both theoretical advancements and applied research in industrial and safety contexts, combining expertise in advanced control algorithms with risk and safety analysis. The multidisciplinary approach connects cyber-physical system security, industrial process safety, and control systems optimization.

Best Publications

  • Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations

    P.-E.P. Odiowei;Yi Cao

  • Statistical process monitoring of a multiphase flow facility

    C. Ruiz-Cárcel;Y. Cao;L. Lao

  • Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection

    Karl Ezra Salgado Pilario;Yi Cao

  • LOCAL SELF-OPTIMIZING CONTROL WITH AVERAGE LOSS MINIMIZATION

    Vinay Kariwala;Yi Cao;S. Janardhanan

  • Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic differentiation

    R.K. Al Seyab;Y. Cao

  • A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring

    Karl Ezra Pilario;Mahmood Shafiee;Yi Cao;Liyun Lao

  • Bidirectional branch and bound for controlled variable selection Part I. Principles and minimum singular value criterion

    Yi Cao;Vinay Kariwala

  • Recent Advances in Two-Dimensional Magnets: Physics and Devices towards Spintronic Applications.

    Vertikasari P. Ningrum;Bowen Liu;Wei Wang;Yao Yin

  • Bidirectional branch and bound for controlled variable selection Part II : exact local method for self-optimizing control

    Vinay Kariwala;Yi Cao

  • Mixed Kernel Canonical Variate Dissimilarity Analysis for Incipient Fault Monitoring in Nonlinear Dynamic Processes

    Karl Ezra S. Pilario;Karl Ezra S. Pilario;Yi Cao;Mahmood Shafiee

  • Self-optimizing control – A survey

    Johannes Jäschke;Yi Cao;Vinay Kariwala

  • Approximating Necessary Conditions of Optimality as Controlled Variables

    Lingjian Ye;Yi Cao;Yingdao Li;Zhihuan Song

  • Nonlinear model predictive control for the ALSTOM gasifier

    R.K. Al Seyab;Y. Cao

  • Nonlinear process fault detection and identification using kernel PCA and kernel density estimation

    Raphael Tari Samuel;Yi Cao

  • State-space independent component analysis for nonlinear dynamic process monitoring

    P. P. Odiowei;Yi Cao

  • A branch and bound method for isolation of faulty variables through missing variable analysis

    Vinay Kariwala;Pabara-Ebiere Odiowei;Yi Cao;Tao Chen

  • Combination of process and vibration data for improved condition monitoring of industrial systems working under variable operating conditions

    C. Ruiz-Cárcel;V.H. Jaramillo;J.R. Ottewill

  • Adaptive synchronization of weighted complex dynamical networks through pinning

    L. Wang;H. P. Dai;H. Dong;Y. Y. Cao

  • Bidirectional Branch and Bound for Controlled Variable Selection Part III: Local Average Loss Minimization

    V. Kariwala;Yi Cao

  • Differential recurrent neural network based predictive control

    R.K. Al Seyab;Yi Cao

  • Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps

    Somtochukwu Godfrey Nnabuife;Karl Ezra S. Pilario;Karl Ezra S. Pilario;Liyun Lao;Yi Cao

Frequent Co-Authors

Mahmood Shafiee
Mahmood Shafiee University of Kent
Zhihuan Song
Zhihuan Song Zhejiang University
Xiaofeng Yuan
Xiaofeng Yuan Central South University
James F. Whidborne
James F. Whidborne Cranfield University
Zoltan K. Nagy
Zoltan K. Nagy Purdue University West Lafayette
Christopher M. Wathes
Christopher M. Wathes Royal Veterinary College
Wen-Hua Chen
Wen-Hua Chen Loughborough University
Gade Pandu Rangaiah
Gade Pandu Rangaiah National University of Singapore
Antonis C. Kokossis
Antonis C. Kokossis National Technical University of Athens
Moses O. Tadé
Moses O. Tadé Curtin University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Engineering and Technology in the USA opens up a wide range of online degree options tailored for different career ambitions. Many students start to branch out into adjacent fields such as business and management, where technical expertise is highly valued.

For those interested in combining technical skills with business leadership, an mba in entrepreneurship online is a flexible pathway. This degree blends innovation and management techniques, equipping professionals to launch and lead tech-driven startups.

Candidates seeking cost-effective advancement should consider online mba programs no gmat low-cost, which streamline admissions and make higher education more accessible. These programs enable you to upskill in engineering management or technology-related sectors without a lengthy admissions process.

Project management is also a critical skill in tech industries. An online project management degree can prepare you for leadership roles where overseeing complex engineering projects is essential.

For those who want to apply engineering know-how in property and infrastructure, an online degree real estate teaches you to merge technical insight with business acumen in a rapidly evolving industry.

Best Scientists Citing Yi Cao

Trending Scientists