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Dr. Alabi Banjoko | Statistics | Best Researcher Award

 Senior Lecturer at University of Ilorin, Nigeria

Dr. Alabi Waheed Banjoko is a Postdoctoral Research Fellow at the Africa Health Research Institute (AHRI), South Africa, specializing in Human Leukocyte Antigen (HLA) research. He holds a PhD in Statistics from the University of Ilorin, Nigeria, where he developed a hybrid multi-objective optimization method for genomic studies. With over a decade of experience as a lecturer and researcher, he has supervised 42 BSc and 4 MSc students. His expertise spans biostatistics, machine learning, and data analysis. Proficient in SPSS, R, and Python, he actively contributes to academia through publications and mentorship. 🌍📑🔬

Publication Profile

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Expertise in Statistics & Research 🔬

Dr. Alabi Banjoko is a Postdoctoral Research Fellow at the Africa Health Research Institute (AHRI), South Africa, specializing in Human Leukocyte Antigen (HLA) research. From 2012 to 2023, he served as a Lecturer in the Department of Statistics at the University of Ilorin, Nigeria, contributing to teaching, research, and community service. His earlier experience includes roles as a Mathematics Teacher (NYSC) in Enugu (2010–2011), an Industrial Trainee at the National Population Commission, Lagos (2007), and participation in the Student Industrial Work Experience Scheme (2005) at the Ministry of Economic Planning and Budget, Lagos. His expertise spans statistical analysis, data collection, and research methodologies. 📈🎓📑

Academic Excellence in Statistics 📊

Dr. Alabi Banjoko holds a PhD in Statistics from the University of Ilorin, Nigeria (2019), where he developed a Hybrid Multi-Objective Sequential-Based Optimization Method for genomic study feature selection and classification. He earned his M.Sc. in Statistics (2013) with a dissertation on Taguchi’s loss function approach and a First-Class B.Sc. in Statistics (2010). His academic journey began with an ND in Statistics (2007) from Federal Polytechnic, Ede, where he analyzed death rates by gender. Currently, he is a Postdoctoral Research Fellow at AHRI, South Africa, advancing research in biostatistics and statistical modeling. 📈📚🔬

Recognized for Excellence in Statistics 📊

Dr. Alabi Banjoko has received multiple awards for his outstanding contributions to statistics and research. In 2013, he was honored with the University of Ilorin Award for his Ph.D. program in Statistics ($1,500). In 2019, the Federal Government of Nigeria awarded him a learned conference grant to Pahang, Malaysia ($4,500). He received the Professional Statistician Society of Nigeria Conference Grant in 2022 ($25). In 2023, his expertise was further recognized with the International Biometry Society Travel Award Fund to attend the IBS SUSAN conference ($1,250). 🏅📈🎓

Research Focus Areas 📊

Dr. Alabi Banjoko specializes in statistical modeling, machine learning, bioinformatics, and computational statistics. His research spans cancer classification, genomic data analysis, support vector machines (SVMs), and data mining in medical diagnostics. He has contributed significantly to feature selection algorithms, econometric modeling, and Bayesian methods. His work also extends to survival analysis, multivariate regression, and optimization techniques. With impactful studies on heart disease prediction, cancer risk assessment, and foreign aid economics, he blends mathematics, statistics, and health analytics to drive data-driven decision-making. 📈🧬💡

Publication Top Notes

  • Efficient Support Vector Machine Classification of Diffuse Large B-Cell Lymphoma and Follicular Lymphoma mRNA Tissue Samples 📊🧬 – Cited by: 15 – Year: 2015
  • IMPROVED BAYESIAN FEATURE SELECTION AND CLASSIFICATION METHODS USING BOOTSTRAP PRIOR TECHNIQUES 🔢📊 – Cited by: 13 – Year: 2016
  • Weighted support vector machine algorithm for efficient classification and prediction of binary response data ⚖️📈 – Cited by: 12 – Year: 2019
  • SURVIVAL ANALYSIS WITH MULTIVARIATE ADAPTIVE REGRESSION SPLINES USING COX-SNELL RESIDUAL 🏥📉 – Cited by: 10 – Year: 2015
  • On the Use of Linear Programming Model Approach in Profit Optimization of a Product Mix Company 💰📊 – Cited by: 6 – Year: 2020
  • Multiclass response feature selection and cancer tumour classification with support vector machine 🩺🧬 – Cited by: 6 – Year: 2019
  • Efficient Data-Mining Algorithm for Predicting Heart Disease Based on an Angiographic Test ❤️📊 – Cited by: 5 – Year: 2021
  • On seemingly unrelated regression and single equation estimators under heteroscedastic error and non-Gaussian responses 📊🧮 – Cited by: 4 – Year: 2020
  • Econometric Analysis of the Effects of Land Size on Cereals Production in Nigeria 🌾📉 – Cited by: 4 – Year: 2020
  • The nexus between foreign aid and foreign direct investment in Nigeria: simultaneous equations approach 🌍💰 – Cited by: 3 – Year: 2023
  • Data Mining Genome-Based Algorithm for Optimal Gene Selection and Prediction of Colorectal Carcinoma 🧬📊 – Cited by: 3 – Year: 2020
  • Sequential optimization-based feature selection algorithm for efficient cancer classification and prediction 🏥⚙️ – Cited by: 3 – Year: 2018
  • Genetic diagnosis, classification, and risk prediction in cancer using next-generation sequencing in oncology 🧬🔬 – Cited by: 2 – Year: 2024
  • A Test Procedure for Ordered Hypothesis of Population Proportions Against a Control 📊📏 – Cited by: 2 – Year: 2016
  • Modelling determinants of antenatal care services utilization in Nigeria 🤰📈 – Cited by: 1 – Year: 2022

 

Alabi Banjoko | Statistics | Best Researcher Award

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