Bo Zhang | Computer Science | Research Excellence Award

Assoc. Prof. Dr. Bo Zhang | Computer Science | Research Excellence Award

Northwest Polytechnic University | China

Assoc. Prof. Dr. Bo Zhang is an accomplished researcher whose work spans remote sensing, geospatial intelligence, environmental monitoring, and machine learning–driven Earth observation analytics. With 252 citations,  an h-index of 7, and 5, i10-index publications, his scholarly contributions demonstrate a growing and impactful presence in environmental data science. His research advances high-resolution satellite image processing, atmospheric pollutant estimation, digital elevation model reconstruction, and intelligent geospatial mapping. He has produced notable work on transfer learning–enhanced remote sensing, sparse-sample super-resolution mapping, neural-network–based PMx estimation, land surface temperature retrieval, and ozone concentration modeling. His publications in leading journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Science Bulletin, Remote Sensing, and Indoor and Built Environment highlight his expertise in integrating artificial intelligence with satellite observations to address environmental challenges. His research also contributes to epidemiological spatial analysis and geospatial data fusion, offering multidisciplinary value in Earth system science. Through continuous work on novel algorithms and high-fidelity environmental datasets, he has strengthened the scientific foundation for climate monitoring, pollution assessment, and large-scale geospatial modeling, positioning him as a significant contributor to advanced remote sensing and environmental informatics.

Profile : Scopus | Orcid | Google Scholar

Featured Publications

Yang, C., Zhang, B., Zhang, M., Wang, Q., & Zhu, P. (2025). Research on decision-making strategies for multi-agent UAVs in island missions based on Rainbow Fusion MADDPG algorithm. Drones, 9(10), 673.

Zhang, B., Shi, Z., Hong, D., Wang, Q., Yang, J., Ren, H., & Zhang, M. (2025). Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset. Geo-Spatial Information Science, 1–21.


Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., Yu, L., Zhang, Q., & others. (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin, 67(24), 2526–2530.


Pan, D., Zhang, M., & Zhang, B. (2021). A generic FCN-based approach for road-network extraction from VHR remote sensing images using OpenStreetMap as benchmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.


Zhang, B., Zhang, M., Kang, J., Hong, D., Xu, J., & Zhu, X. (2019). Estimation of PMx concentrations from Landsat 8 OLI images based on a multilayer perceptron neural network. Remote Sensing, 11(6), 646.


Zhu, B., Liu, J., Fu, Y., Zhang, B., & Mao, Y. (2018). Spatio-temporal epidemiology of viral hepatitis in China (2003–2015): Implications for prevention and control policies. International Journal of Environmental Research and Public Health, 15(4), 661.

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

HEr

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

University of Johannesburg | South Africa

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Dr. Olasumbo Makinde’s academic journey began with a strong foundation in science at the Oladipo Alayande School of Science, Nigeria. He pursued a Bachelor’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 Master’s (with Distinction) and Doctoral degrees in Industrial Engineering from Tshwane University of Technology.

💼 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.

🧑‍🔬 Contributions and Research Focus

Dr. Makinde’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.

🏆 Accolades and Recognition

Dr. Makinde’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.

🌍 Impact and Influence

Dr. Makinde’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.

✨ Legacy and Future Contributions

Dr. Makinde’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


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

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

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

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

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

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

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

📝Assessment of Human Errors in a Cable Manufacturing Organisation

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