Busuyi Akeredolu | Machine Learning | Best Researcher Award

Busuyi Akeredolu | Machine Learning | Best Researcher Award

Lecturer at Lagos State University of Education, Nigeria

Busuyi E. Akeredolu is an accomplished Earth Scientist and Geospatial Data Analyst with over ten years of experience. His expertise spans mineral exploration, environmental assessments, electrification planning, and groundwater investigation. Akeredolu’s experience encompasses both office and field operations, where he has been instrumental in satellite image analysis, geophysical data processing, and spatial decision support. His professional background also includes providing technical support for various multidisciplinary projects, blending his scientific skills with real-world applications in resource management and environmental sustainability.

Profile

Orcid

Education

Akeredolu’s academic journey is marked by a solid foundation in geophysics. He is currently pursuing a Ph.D. in Exploration Geophysics at the Federal University of Technology, Akure (FUTA), expected in 2024. He holds an M.Tech. in Exploration Geophysics, also from FUTA (2017), and a B.Sc. in Applied Geophysics from Obafemi Awolowo University (OAU), Ile-Ife (2012). Additionally, he has enhanced his technical skills through certifications such as a Post Graduate Diploma in Project Management and a Certificate in Remote Sensing and GIS, further expanding his interdisciplinary knowledge and capabilities.

Experience

Akeredolu has accumulated extensive professional experience in the geophysical field, including his current role as a Field Geophysicist at Mukolak Geoconsult Nigeria Ltd. Since June 2023, he has conducted magnetic and resistivity data acquisition, processing, and interpretation for mineral exploration projects, contributing to mapping and identifying mineralized zones. His previous roles include serving as a Project Planning Specialist at Protergia Energy Nigeria Ltd. (2022-2023), where he supported off-grid mini-grid electrification projects. Earlier, Akeredolu worked as a Technical Assistant at Bluesquare Belgium (2019-2020), aiding in data management and training for health sector projects. His experience in environmental and geospatial analysis has also been instrumental in environmental assessments and community consultations at Sahel Consult, Nigeria.

Research Interest

Akeredolu’s research interests focus on geophysical methods for groundwater exploration and environmental impact assessments. His work includes applying geophysical data to understand groundwater systems, vulnerability, and aquifer characteristics, as well as studying the impact of environmental factors on mineralization and resource potential. Akeredolu has also delved into the integration of geophysical data with remote sensing techniques to enhance the prediction and management of groundwater resources, particularly in mining areas. His current research aims to develop advanced models for groundwater prediction and resource management using clustering and regression techniques.

Awards

Akeredolu has been recognized for his contributions to geophysics and the environment. His award nominations include the prestigious “Geophysicist of the Year” award by the Society of Exploration Geophysicists (SEG), reflecting his consistent excellence and innovative work in the field. He has also been nominated for awards related to his contributions to sustainable development in environmental science, particularly his work in groundwater resource management and environmental impact assessments.

Publications

Akeredolu, B. E., Adiat, K. A. N., Akinlalu, A. A., Olayanju, G. M., & Afolabi, D.O. (2024). Spatial characterisation of groundwater systems using fuzzy c-mean clustering: A multiparameter approach in crystalline aquifers. Resources, Conservation and Recycling, 100051, ISSN 2211-148, https://doi.org/10.1016/j.rines.2024.100051.

Adegbola, R.B., Whetode, J., Adeogun, O., Akeredolu, B., & Lateef, O. (2023). Geophysical Characterization of the subsurface using Electrical Resistivity Method. Journal of Research and Review in Science, 10, 14-20, DOI: 10.36108/jrrslasu/2202.90.0250.

Akeredolu, B. E., Adiat, K. A. N., Akinlalu, A. A., & Olayanju, G. M. (2022). The Relationship Between Morpho-Structural Features and Borehole Yield in Ilesha Schist Belt, Southwestern Nigeria: Results from Geophysical Studies. Earth Sciences, 11(1), 16-28, doi: 10.11648/j.earth.20221101.13.

Adiat, K. A. N., Akeredolu, B. E., Akinlalu, A. A., & Olayanju, G. M. (2020). Application of logistic regression analysis in prediction of groundwater vulnerability in gold mining environment: a case of Ilesa gold mining area, southwestern, Nigeria. Environmental Monitoring and Assessment, 192(9), doi:10.1007/s10661-020-08532-7.

Adiat, K. A. N., Adegoroye, A. A., Akeredolu, B. E., & Akinlalu, A. A. (2019). Comparative assessment of aquifer susceptibilities to contaminant from dumpsites in different geological locations. Heliyon, 5(5), e01499.

Bawallah, M. A., Akeredolu, B. E., et al. (2019). Integrated Geophysical Investigation of Aquifer and its Groundwater Potential in Camic Garden Estate, Ilorin Metropolis North-Central Basement Complex of Nigeria. IOSR Journal of Applied Geology and Geophysics, 7(2), 01-08.

Akinlalu, A. A., Akeredolu, B. E., & Olayanju, G. M. (2018). Aeromagnetic mapping of basement structures and mineralisation characterisation of Ilesa Schist Belt, Southwestern Nigeria. Journal of African Earth Sciences, 138, 383-389.

Conclusion

Busuyi E. Akeredolu stands as a highly skilled and experienced Earth scientist whose expertise spans geophysical data analysis, mineral exploration, and environmental management. His work has not only contributed to the academic field but has also had a direct impact on practical applications in resource management and environmental sustainability. Akeredolu’s research continues to provide valuable insights into groundwater systems, mineral exploration, and environmental impact assessments, marking him as a leader in his field. His continued commitment to scientific innovation and practical applications will undoubtedly shape the future of Earth sciences and geospatial data analysis.

Lixiong Yang | Machine Learning | Best Researcher Award

Prof. Lixiong Yang | Machine Learning | Best Researcher Award

Professor | School of Management, Lanzhou University | China

Dr. Lixiong Yang is a distinguished scholar and professor of economics at the School of Management, Lanzhou University, China. With a strong foundation in econometrics, financial econometrics, and machine learning, he has made significant contributions to advancing quantitative methods in economic research. His work focuses on developing theoretical models and applying them to capital markets, financial warning systems, and macroeconomic policy evaluation. Dr. Yang has authored numerous impactful publications, served as an external reviewer for esteemed journals, and supervised graduate theses. He is also a recipient of multiple awards, including recognition for his doctoral dissertation and academic mentorship.

Profile

Scopus

Education

Dr. Yang received his Ph.D. in Economics from the Jinhe Center for Economic Research at Xi’an Jiaotong University in 2014. His dissertation, “A Method of Nonstationary Time Series Analysis Based on the Degree of Cointegration,” introduced innovative approaches to time-series econometrics. Before that, he earned his B.E. in Financial Mathematics from Sichuan University in 2009. His academic journey reflects a strong inclination toward econometric theory and its practical applications.

Experience

Dr. Yang has held various academic positions at Lanzhou University. He was appointed as a professor in December 2022, following his selection as a Cuiying Scholar in 2020. Earlier, he served as a junior professor (2019–2022) and lecturer (2014–2019). His teaching repertoire includes advanced econometrics, machine learning, and undergraduate econometrics. Additionally, he has actively contributed to the academic community as an external reviewer for prestigious journals such as the Journal of Econometrics and Studies in Nonlinear Dynamics and Econometrics.

Research Interests

Dr. Yang’s research spans econometric theory, panel data models, big data analysis, machine learning, and financial econometrics. His interests also extend to financial warning systems, capital markets, and macroeconomic policy. He has led and contributed to multiple national-level research grants, focusing on time-varying threshold models, high-dimensional data analysis, and fiscal policy effectiveness.

Awards

Dr. Yang’s academic excellence has been recognized through several awards. Notable among them are:

Excellent Supervisor of Lanzhou University Undergraduate Thesis (2021)

Excellent Doctoral Dissertation of Shaanxi Province (2017)

National Scholarship for Doctoral Students (2013)
He has also been commended for his mentorship, winning awards for guiding students in the “Challenge Cup” competition and other academic initiatives.

Publications

Dr. Yang has authored over 20 peer-reviewed articles, focusing on econometrics and its applications. Seven notable publications include:

Yang, L. et al., “Panel Threshold Model with Covariate-Dependent Thresholds and Unobserved Individual-Specific Effects,” Econometrics Review, 2024. Cited by: Advanced Studies in Econometrics.

Yang, L. et al., “Is There a State-Dependent Optimal Interval for Firms’ R&D Investment?” Applied Economics, 2024. Cited by: Industrial Innovation Reports.

Yang, L., “Threshold Quantile Regression Neural Network,” Applied Economics Letters, 2023. Cited by: Computational Finance Insights.

Yang, L., “High-Dimensional Threshold Model with Time-Varying Thresholds,” Studies in Nonlinear Dynamics and Econometrics, 2022. Cited by: Statistical Models Journal.

Yang, L., “Panel Threshold Spatial Durbin Models,” Economics Letters, 2021. Cited by: Urban Economic Analysis.

Yang, L., “Regression Discontinuity Designs with State-Dependent Unknown Discontinuity Points,” Studies in Nonlinear Dynamics and Econometrics, 2019. Cited by: Econometrics Advances.

Yang, L., “Debt and Growth: Is There a Constant Tipping Point?” Journal of International Money and Finance, 2018. Cited by: Global Economic Studies.

Conclusion

Dr. Lixiong Yang embodies the integration of theoretical rigor and practical application in economics. His commitment to advancing econometric methodologies, coupled with his impactful teaching and mentorship, solidifies his status as a leading scholar. Through his extensive research, he continues to shape the future of quantitative economic analysis and inspire the next generation of economists.