Faculty profile

Dan Centea

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ProfessorSchool of Engineering TechnologyMcMaster University

Dan Centea

Professor

School of Engineering Technology

Faculty of Engineering

McMaster University

Hamilton, Ontario, Canada

In this role since 2014

Email ORCID

Supervision signals

Professors usually supervise graduate students in their department's programs.
Teaches 5 graduate courses, most recently in 2026.
11 publications in the last five years, latest in 2026.
Senior (last) author on 4 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

Publications

452

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

centeadn@mcmaster.ca (905) 525-9140 ext. 28634

Research

Research areas, by share of publications

Experimental Learning in EngineeringEngineering
Digital Transformation in IndustryEngineering
Problem and Project Based LearningSocial Sciences
Biomedical and Engineering EducationEngineering
Manufacturing Process and OptimizationEngineering

Research areas are derived from OpenAlex topics of their publications.

49 publications.

Active Learning Strategy Using Mobile Technologies \textbar SpringerLink

Assessment in Problem-Based Learning Using Mobile Technologies \textbar SpringerLink

Design, Manufacturing and Testing a Torque Stand for Electric Motors in Power and Regenerative Modes

Balan L, Apostol G, Centea D

Lecture Notes in Networks and Systems2026Senior author

DOI: 10.1007/978-3-032-18888-5_35

Design, Control, Assembly and Testing of a Camless Valve System

Mitchell G, Obee A, Wood C, Centea D

2025Senior author

DOI: 10.1007/978-3-031-77627-4_7

Design, Implementation and Testing an Automated Indoor Garden

Choy B, Warner A, Chambers M, Centea D

Lecture Notes in Networks and Systems2025Senior author

DOI: 10.1007/978-3-031-81685-7_31

Learning Factory for Integrating Engineering Technology and Business Management Education

Wanyama T, Centea D, Mehrtash M

Lecture Notes in Networks and Systems2024

DOI: 10.1007/978-3-031-65400-8_11

Development of Experiential Learning Framework for Autonomous Vehicle Education

Mehrtash M, Centea D, Wanyama T

Lecture Notes in Networks and Systems2024

DOI: 10.1007/978-3-031-65400-8_14

Remote Learning: Implementing IIoT and Industry 4.0 Technologies Using PLCs

Gao Z, Centea D, Singh I

Lecture Notes in Networks and Systems20232 citations

DOI: 10.1007/978-3-031-17091-1_29

Tracking and Traceability Technologies: Implementation in the SEPT Learning Factory

Centea D, Lombardi V, Boer J, Singh I

Lecture Notes in Networks and Systems20231 citationsFirst author

DOI: 10.1007/978-3-031-42467-0_6

Development and Use of IoT Boards for Online Labs

Centea D, Schmidt R, Gadhrri A, Singh I

Lecture Notes in Networks and Systems20222 citationsFirst author

DOI: 10.1007/978-3-030-96296-8_78

Courses taught

Internal Combustion Engines
SEP 6AE3 · last taught 2026
Graduate
Conceptual Design of Electric and Hybrid Electric Vehicles
SEP 6AT3 · last taught 2025
Graduate
Electric Powertrain Components Design
SEP 711 · last taught 2025
Graduate
Electric Drive Vehicles
MECHENG 760 · last taught 2024
Graduate
Electric Drive Vehicles
SEP 722 · last taught 2024
Graduate
Internal Combustion Engines
AUTOTECH 4AE3 · last taught 2026
Undergraduate
Capstone Design I
AUTOTECH 4TR1 · last taught 2026
Undergraduate
Modelling and Numerical Solutions
ENGTECH 2MS3 · last taught 2026
Undergraduate
Electric and Hybrid Vehicles
AUTOTECH 3AV3 · last taught 2025
Undergraduate
Conceptual Design of Electric and Hybrid Vehicles
AUTOTECH 4AT3 · last taught 2025
Undergraduate

Researchers with similar interests

Lucian Balan

School of Engineering Technology

Experimental Learning in Engineering, Problem and Project Based Learning

Konstantinos Apostolou

School of Engineering Technology

Experimental Learning in Engineering, Digital Transformation in Industry

Moein Mehrtash

School of Engineering Technology

Experimental Learning in Engineering, Problem and Project Based Learning

Tom Wanyama

School of Engineering Technology

Experimental Learning in Engineering, Digital Transformation in Industry

Allan Mackenzie

School of Engineering Technology

Experimental Learning in Engineering, Biomedical and Engineering Education

Robert Fleisig

Walter G. Booth School of Engineering Practice and Technology

Biomedical and Engineering Education, Manufacturing Process and Optimization

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Subject: Prospective PhD student: Experimental Learning in Engineering Dear Professor Centea, 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 "Active Learning Strategy Using Mobile Technologies \textbar SpringerLink", 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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Dan Centea

Research

Active Learning Strategy Using Mobile Technologies \textbar SpringerLink

Assessment in Problem-Based Learning Using Mobile Technologies \textbar SpringerLink

Design, Manufacturing and Testing a Torque Stand for Electric Motors in Power and Regenerative Modes

Design, Control, Assembly and Testing of a Camless Valve System

Design, Implementation and Testing an Automated Indoor Garden

Learning Factory for Integrating Engineering Technology and Business Management Education

Development of Experiential Learning Framework for Autonomous Vehicle Education

Remote Learning: Implementing IIoT and Industry 4.0 Technologies Using PLCs

Tracking and Traceability Technologies: Implementation in the SEPT Learning Factory

Development and Use of IoT Boards for Online Labs

Courses taught

Frequent collaborators

Ishwar Singh

Seshasai Srinivasan

Mohamed Abdelaziz Elbestawi

Moein Mehrtash

Tom Wanyama

Lucian Balan

Researchers with similar interests

Lucian Balan

Konstantinos Apostolou

Moein Mehrtash

Tom Wanyama

Allan Mackenzie

Robert Fleisig