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Department of Mechanical Engineering
© CRE​/​TU Dortmund
PhD Researcher

Joel Leonard

Email: joel.leonard@tu-dortmund.de

Tel.: +49 1744085716

Room: Maschinenbaugebäude 1, Raum U04

Google Scholar :  Link

© CRE

Research interests

  • Reliability Engineering, AI-driven maintenance, predictive & prescriptive maintenance
  • Digital Twin, RAM analysis, machine learning for industrial systems
  • Smart asset management and intelligent maintenance systems

Further information

  • May 2026 – Present: Guest Researcher, Chair for Reliability Engineering, TU Dortmund University, Germany
  • Jan 2025 – Present: PhD Researcher, Department of Mechanical and Aeronautical Engineering, University of Pretoria, South Africa
  • Oct 2024 – Mar 2025: Senior Reliability Engineer, Assetonix, Pretoria, South Africa
  • Jan 2023 – Dec 2025: Reliability Engineering Course Trainer and Maintenance Consultant, Terotechnica Asset Management College, Pretoria, South Africa
  • Jul 2023 – Oct 2025: Maintenance Mentor and Tutor, AccessEd South Africa
  • Feb 2023 – Jul 2023: Assistant Lecturer, University of Pretoria, South Africa
  • May 2019 – Dec 2020: Engineering and Maintenance Technician, Idas Nigeria Limited (Shell Crude Oil Terminal), Nigeria
  • Feb 2017 – Dec 2017: Prepaid Meter Installation and Maintenance Supervisor, MOJEC International Ltd, Nigeria
  • Sept 2012 – Dec 2012: Mechanical Engineering Intern, Kaduna Refining and Petrochemical Company (KRPC), Kaduna, Nigeria

 

Awards

  • 2025: Young Asset Management Practitioner in Southern Africa (SAAMA)
  • 2025: DAAD Research Funding, TU Dortmund University
  • 2025: NRF Doctoral Innovation Scholarship
  • 2025: University of Pretoria Doctoral Research Bursary
  • 2023: Mastercard Foundation Scholars Program Achievement Award
  • 2023: Golden Key International Honour Society Award for Service
  • 2022: Honorary Colours for Academic Distinction, University of Pretoria
  1. Daya, A., & Leonard, J. (2025). Maintenance Plan Improvement Using Failure Mode Effect and Criticality Analysis: A Case Study on Mining Equipment.
  2. Leonard, J., & Abimaje, F. (2024). Optimizing Nigerian Road Reliability by Defining Poor Road Causes, Maintenance Strategies, and Application.
  3. Gidiagba, J. O., Leonard, J., Ogunjobi, O. A., Ofonagoro, K. A., & Daraojimba, C. (2023). The Rise of Smart Asset Management: A Review of Artificial Intelligence and Machine Learning Applications in Energy Facilities Maintenance.