Faculty profile

Zhen Gao

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Associate ProfessorSchool of Engineering TechnologyMcMaster University

Zhen Gao

Associate Professor

School of Engineering Technology

Faculty of Engineering

McMaster University

Hamilton, Ontario, Canada

In this role since 2020

Email ORCID

Supervision signals

Professors usually supervise graduate students in their department's programs.
Teaches 7 graduate courses, most recently in 2026.
140 publications in the last five years, latest in 2026.
Senior (last) author on 33 recent papers, a sign of leading a research group.

These signals come from public records. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

522

Publications

15,417

Citations

h-index

Collaborators

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

Academic profiles

University Profile Search on Google Scholar iDORCID OpenAlex

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Contact

gaozhen@mcmaster.ca (905) 525-9140 ext. 27102

Research

Research areas, by share of publications

Advanced Neural Network ApplicationsComputer Science
Autonomous Vehicle Technology and SafetyEngineering
Video Surveillance and Tracking MethodsComputer Science

Research areas are derived from OpenAlex topics of their publications.

From the 150 most recent of 522 publications.

Effects of turbulence inhomogeneity and atmosphere stability on the aeroelastic response of the IEA 22 MW wind turbine

Guo F, Peña A, Gao Z

Renewable Energy20267 citationsSenior author

DOI: 10.1016/j.renene.2025.124384

Coupled dynamic response analysis of a semi-submersible floating wind turbine under typhoon conditions: A numerical study on Typhoon Doksuri

Yang C, Hu Z, Xiao L, Jin J, Cheng Z, Gao Z

Ocean Engineering20265 citationsSenior author

DOI: 10.1016/j.oceaneng.2025.123365

Identification of wind inflow characteristics from nacelle lidar measurements in the induction zone of a 9 MW wind turbine

Fang Y, Li C, Liu L, Guo F, Gao Z

Renewable Energy20264 citationsSenior author

DOI: 10.1016/j.renene.2025.124523

Load and response analysis of the IEA 22 MW monopile wind turbine considering marine atmospheric turbulence characteristics

Guo F, Gao Z

Journal of Ocean Engineering and Science20264 citationsSenior author

DOI: 10.1016/j.joes.2026.01.002

DRONet: occlusion-mastering multi-object detection tailored for unmanned aerial vehicles

Qian J, Tao C, Luo X, Gao Z, Wang T, Xiao F, Cao F, Zhang Z

Displays20263 citations

DOI: 10.1016/j.displa.2026.103388

An efficient approach for time-domain fatigue analysis for semi-submersible hulls of floating wind turbines

Wang S, Moan T, Gao Z, Gao S

Marine Structures20262 citations

DOI: 10.1016/j.marstruc.2025.103955

An aero-hydro-servo-elastic coupled frequency-domain method for dynamic analysis of floating wind turbines

Shao W, Cheng Z, Zhou W, Cui M, Chen P, Gao Z

Marine Structures20262 citationsSenior author

DOI: 10.1016/j.marstruc.2026.104016

BCC-SRN: Blockchain-Based Cooperative Communication Scheme for Symbiotic Radio Network

Gao Z, Lin S, Li Z, Zhang J, Guo Z, Han Z, Wang X, Liang Y-C

IEEE Transactions on Network Science and Engineering20262 citationsFirst author

DOI: 10.1109/tnse.2025.3614744

A method for validating loads and responses of large floating wind turbines using nacelle-mounted lidar

Guo F, Schlipf D, Gao Z

Marine Structures20261 citationsSenior author

DOI: 10.1016/j.marstruc.2026.104019

Extreme turbulence effects on wind turbine loads: A case study for the North China Plain using nacelle lidar

Guo F, Liu X, Schlipf D, Wu S, Gao Z, Wang X, Sun J

Renewable Energy20261 citations

DOI: 10.1016/j.renene.2026.125774

Courses taught

The Rise of Intelligent Machines: Ethics, Society, and the Future
SEP 730 · last taught 2026
Graduate
M.Eng. Project in Systems and Technology Part 1
SEP 799 · last taught 2025
Graduate
Cyber Physical Systems
SEP 769 · last taught 2022
Graduate
Total Sustainability Management
SEP 770 · last taught 2022
Graduate
Innovation Studio
SEP 772 · last taught 2022
Graduate
Advanced Robotics and Automation
SEP 780 · last taught 2021
Graduate
Artificial Intelligence
SEP 6AI3 · last taught 2019
Graduate
PLC Programming
PROCTECH 2PL3 · last taught 2026
Undergraduate
Capstone Design Project I
PROCTECH 4TR1 · last taught 2026
Undergraduate
Motion Control and Robotics
PROCTECH 3MC3 · last taught 2025
Undergraduate

Researchers with similar interests

Mohamed Hussein

Civil Engineering

Autonomous Vehicle Technology and Safety

Martin George Von Mohrenschildt

Computing and Software

Video Surveillance and Tracking Methods

Samir Sahli

Biomedical Engineering

Video Surveillance and Tracking Methods

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Paper to mention

Subject: Prospective PhD student: Advanced Neural Network Applications Dear Professor Gao, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Effects of turbulence inhomogeneity and atmosphere stability on the aeroelastic response of the IEA 22 MW wind turbine" (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]

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Zhen Gao

Research

Effects of turbulence inhomogeneity and atmosphere stability on the aeroelastic response of the IEA 22 MW wind turbine

Coupled dynamic response analysis of a semi-submersible floating wind turbine under typhoon conditions: A numerical study on Typhoon Doksuri

Identification of wind inflow characteristics from nacelle lidar measurements in the induction zone of a 9 MW wind turbine

Load and response analysis of the IEA 22 MW monopile wind turbine considering marine atmospheric turbulence characteristics

DRONet: occlusion-mastering multi-object detection tailored for unmanned aerial vehicles

An efficient approach for time-domain fatigue analysis for semi-submersible hulls of floating wind turbines

An aero-hydro-servo-elastic coupled frequency-domain method for dynamic analysis of floating wind turbines

BCC-SRN: Blockchain-Based Cooperative Communication Scheme for Symbiotic Radio Network

A method for validating loads and responses of large floating wind turbines using nacelle-mounted lidar

Extreme turbulence effects on wind turbine loads: A case study for the North China Plain using nacelle lidar

Courses taught

Frequent collaborators

Ishwar Singh

Seshasai Srinivasan

Tom Wanyama

Aimee Nelson

Amin Reza Rajabzadeh

Fei Geng

Researchers with similar interests

Mohamed Hussein

Martin George Von Mohrenschildt

Samir Sahli