FELIX CHIKEREUBA AKANNO

FELIX CHIKEREUBA AKANNO

ASSISTANT LECTURER

BSc. Statistics
Email: felix.akanno@futo.edu.ng

Biography

 

As a data scientist with a keen interest in biostatistics, I am passionate about leveraging cutting-edge technologies, such as Machine Learning (ML) and AI, to tackle health-related challenges and improve the well-being of communities. My focus lies in the innovative application of statistical analysis to draw actionable insights from electronic health records (EHRs) and other health databases. My ultimate goal is to harness the power of data to create tangible solutions that enhance community health and welfare.

 

Academic Qualification

BSc. Statistics

Honours/Awards

  • Member Academy of Management

 

 

Affiliations

  • International Biometric Society
  • Professional Statisticians Society of Nigeria
  • American Statistical Association
  • Data Science Network
  • Agricultural, Nutrition & Health Academy

Courses Assigned to Teach

Statistics [Biostatistics Unit],

STA 211 [INTRODUCTION TO STATISTICS & PROBABILITY]
STA 221 [STATISTICAL INFERENCE I]
STA 222 [STATISTICAL INFERENCE II]
STA 342 [SAMPLING THEORY AND SURVEY METHODS I]
STA 344 [LABORATORY FOR SURVY METHODS I]

 

Experience

  • Lecturer, Dept of Statistics, Federal University of Technology, Owerri           2020 – Present
  • Assist in teaching undergraduate statistics courses; STA 211, STA 221, STA 222, STA 342, STA 344
  • Assist in Research Seminar coordination
     Assist in the supervision of undergraduate B.Sc. final year research project
  • Departmental Exam Vetting Committee Member
  • Research Assistant, Department of Statistics, Imo State University Owerri 2018-2020             
     
  • Creating course materials for Professor F. N Nwobi’s lab for R and Python practical classes
  • Providing statistical help to staff and students on a walk-in basis
  • Developing research questionnaires, literature review and methodologies
  • Graduate Assistant, Department of Statistics, Federal University of Technology, Minna                   
  • National Youth Service Corps (NYSC) 2017 -2018
  • Conducted statistical analysis training for undergraduate students
  • Facilitated departmental seminar
     Statistical analysis and interpretation
  • Data and Quality Control Manager, DAVAOUS Water Company               2016 – 2017
  • Received, processed and conducted lab analysis on water samples before factory production.
  • Designed and conducted lab tests according to standard procedures
  • Carried out routine quality assessment measures of all materials ready to be used in the production room
  • Recommended improvement measures to the production process to ensure quality control standards are met

Research Interest

Biostatistics

Publications

  1. Amuji O.H., Okoroji L.I., Osuji W.I., Akanno F.C., Ogwurumba H.N (2023). Development/Application of PG-Inverse Weighted Multi-Objective Geometric Programming Model for Oil and Gas Industry in Nigeria. Journal of Research in Applied Mathematics 9(5) pp. 23-33
  2. Ugoh C.I., Igbinosa E.S., Akanno F.C., Omoruyi P.O.,Guobadia E.K. (2023). Investigating the Determinants of Inflation in Leading Economies in Africa: A Panel Data Analysis. African Journal of Economics and Sustainable Development6(2), 30-48. DOI:10.52589/AJESD-VGH59XLX
  3. Nwobi, F. N., & Akanno, F. C. (2021). “Power comparison of Anova and Kruskal-Wallis tests when error assumptions are violated. Advances in Methodology and Statistics/Metodološki zvezki, 18 (3), 53-71. https://doi.org/10.51936/ltgt2135.
  4. Kiwu-Lawrence, F.C., Kiwu, L.C., Bartholomew, D.C., Obite, C.P., & Akanno, F.C. (2021). Evaluation and Comparison of Three Classes of Central Composite Designs. Asian Journal of Probability and Statistics, 13 (2), 31-47
  5. Bartholomew, D.C., Orumie, U.C., Obite, C.P., Duru, B.I., & Akanno, F.C. (2021). “Modeling the Nigerian Bonny Light Crude Oil Price: The Power of Fuzzy Time Series. Open Journal of Modelling and Simulation, 9, 370-390. https://doi.org/10.4236/ojmsi.2021.94024

Research/Publication Links

ORCID: 

Research Gate Profile URL: 

Google Scholar Page URL: