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Dr. Olasumbo Makinde | AI application in Mental Health Care | Best Researcher Award

University of Johannesburg | South Africa

Author Profile

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šŸŽ“ Early Academic Pursuits

Dr. Olasumbo Makindeā€™s academic journey began with a strong foundation in science at the Oladipo Alayande School of Science, Nigeria. He pursued a Bachelorā€™s degree in Mining Engineering at the Federal University of Technology, Akure (FUTA), graduating with Second Class Honors (Upper Division) and excelling in key modules like Mathematical Methods, Engineering Mathematics, and Manufacturing Technology. His pursuit of excellence led his to South Africa, where he earned both Masterā€™s (with Distinction) and Doctoral degrees in Industrial Engineering from Tshwane University of Technology.

šŸ’¼ Professional Endeavors

Currently a Senior Lecturer in the Quality and Operations Management Department at the University of Johannesburg, Dr. Makinde lectures in advanced operations management techniques while supervising postgraduate research candidates. He also contributes to curriculum development and is instrumental in maintaining high standards of academic materials. His professional engagements extend to industry collaborations, where he has successfully led projects in manufacturing systems and optimization.

šŸ§‘ā€šŸ”¬ Contributions and Research Focus

Dr. Makindeā€™s research is deeply rooted in solving real-world industrial problems. His groundbreaking work on Reconfigurable Manufacturing Systems (RMS) includes the design and development of a Reconfigurable Vibrating Screen machine and robotic-driven maintenance systems. He has also optimized production lines for Nissan (Pty) Ltd and contributed to rail car manufacturing systems for Gibela Rail Transport Consortium. His expertise spans Maintenance Management Systems, Automation, Lean-Six Sigma, and more, reflecting his commitment to advancing industrial engineering practices.

šŸ† Accolades and Recognition

Dr. Makindeā€™s academic and professional contributions have earned his numerous awards and scholarships, including the IEOM Outstanding Doctoral Research and Publication Award and the South African National Research Foundation (NRF) Innovation Doctoral Scholarship. Recognized as a nominee for the SAIIE Outstanding Young Industrial Engineering Researcher Award, he has consistently demonstrated excellence throughout his career.

šŸŒ Impact and Influence

Dr. Makindeā€™s influence extends beyond academia into the industrial sector, where his innovative research has improved manufacturing efficiency and operational strategies. His work with organizations like Nissan and Gibela has bridged the gap between theoretical research and practical applications, creating solutions that are both sustainable and effective.

āœØ Legacy and Future Contributions

Dr. Makindeā€™s passion for teaching and research ensures his lasting legacy in industrial engineering. He is dedicated to equipping the next generation of engineers with innovative tools and knowledge. His future endeavors promise to explore advanced industrial systems and foster collaborations that address emerging challenges in global manufacturing and operations management.

 

Publications


šŸ“Evaluating AI-Driven Mental Health Solutions: A Hybrid Fuzzy Multi-Criteria Decision-Making Approach

  • Ā Article: Journal article
  • Ā Year: 2025
  • Ā Contributors: Yewande Ojo, Olasumbo Ayodeji Makinde, Oluwabukunmi Victor Babatunde, Gbotemi Babatunde, Subomi Okeowo

šŸ“A Conceptual Framework for Automated Maintenance of a Reconfigurable Vibrating Screen Machine
  • Ā Chapter: Book chapter
  • Ā Year: 2024
  • Ā Contributor: Olasumbo Makinde

šŸ“A Decision Support System for Operations Planning of a Reconfigurable Vibrating Screen Machine in a Volatile Market

  • Ā Chapter: Book chapter
  • Ā Year: 2024
  • Ā Contributor: Olasumbo Makinde

šŸ“An Agent-Based Simulation Approach to Assess the Performance of an Inventory System Used in an Automotive Components Retail Organisation

  • Ā Chapter: Book chapter
  • Ā Year: 2024
  • Ā Contributors: Cunhibert Nalumva, Olasumbo Makinde, John Trimble, Kemlall Ramdass

šŸ“Assessment of Human Errors in a Cable Manufacturing Organisation

  • Ā Chapter: Book chapter
  • Ā Year: 2024
  • Ā Contributors: Frans Ramogale, Olasumbo Makinde, Thomas Munyai

 

Olasumbo Makinde | AI application in Mental Health Care | Best Researcher Award