Dr. Eric Nimako Aidoo

Section
School of Mathematical & Computer Sciences
Dr. Eric Nimako Aidoo

About

Dr. Eric Nimako Aidoo is an Assistant Professor of Statistics in the School of Mathematical and Computer Sciences. He holds PhD in Statistics from Edith Cowan University, Australia. His specialization includes Statistical Modelling, Categorical Data Analysis, Geospatial Modelling, Bayesian Inference, Time Series Analysis and Forecasting, Data Analytics,  Statistical Computing, Statistical Inference and Simulation.

Dr Aidoo has taught several statistics related courses, and currently teaching undergraduate courses in BSc Data Science and BSc Statistical Data Science including:

  • Probability and Statistics A & B (Year 2)
  • Bayesian Inference and Computational Methods (Year 3)
  • Time Series and Machine Learning (Year 4)
Biography

Academic Leadership and Affiliations:

  • Year 3 Coordinator for BSc Statistical Data Science Programme (MACS)
  • Coordinator for students with disability (MACS)
  • Coordinator for Maths Gym, Dubai Campus
  • Member, Society for Modeling and Simulation International
  • Member, International Association for Statistical Computing
  • Member, International Biometric Society
  • Member, International Statistical Institute

Qualifications:

  • PhD. Statistics from Edith Cowan University, Australia, 2016
  • MSc. Statistics from Uppsala University, Sweden, 2011
  • BSc. Statistics from University of Cape Coast, Ghana, 2008
Research

Dr. Aidoo’s research interests focus on Applied Statistics, Geospatial Modelling, and Simulation-based Inference. He is active in interdisciplinary research and passionate about developing advanced statistical models to address real-world problems in various domains, including Public Health, Environmental Sciences, and Natural Sciences. He has been collaborating with researchers from diverse disciplines to conduct high-impact data-driven research that drives decision-making. He has co-authored 28 peer-reviewed articles published in reputable international journals. As an Assistant Professor of Statistics, he has trained and supervised several postgraduate and undergraduate student’s research. He has also served as a reviewer for several international journals and as a resource person for training in several statistical data analysis workshops.

Looking ahead, he plans to continue advancing the field of applied statistics by exploring emerging research areas such as Bayesian spatio-temporal modelling and disease mapping to support decision-making in public health-related issues. He is committed to mentoring graduate students and fostering a collaborative research environment that promotes creativity, innovation, and excellence in applied statistics.

Publications

Samuel A., Mensah E.T., Aidoo, E.N., Boateng, A., Maposa, D. (2024). A comparison of error distributions in the GARCH model through a Monte Carlo simulation approach. Scientific African, 23: e01988. https://www.sciencedirect.com/science/article/pii/S2468227623004428

Essel, N.O.M., Aidoo, E.N., Appiah, S.K. (2023). Geospatial modelling of COVID-19 vaccination coverage inequalities: evidence from 192 countries. Spatial Information Research, 31: 653-667. https://doi.org/10.1007/s41324-023-00531-3

Asosega, K.A., Aidoo, E.N., Adebanji, A.O., Owusu-Dabo, E. (2023).  Examining the risk factors for overweight and obesity among women in Ghana: A multilevel perspective. Heliyon, 9(5):e16207. https://doi.org/10.1016/j.heliyon.2023.e16207

Ampofo, R.T., Aidoo, E.N., Ntiamoah, B.O., Frimpong F, Sasu, D.  (2023). An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach. Journal of Economics and Finance, 47:517-540 https://doi.org/10.1007/s12197-022-09613-8

Ag-yi, Desmond, Aidoo, E.N. (2022). A comparison of normality tests towards convoluted probability distribution. Research in Mathematics, 9(1):1-12. https://doi.org/10.1080/27684830.2022.2098568

Aidoo, E.N., Mueller, U., Hyndes, G.A., Ryan, K.L. (2022). Spatial characterisation of Demersal Scalefish diversity based on recreational fishing data. Fisheries Research, 254: 106403.  https://doi.org/10.1016/j.fishres.2022.106403

Nkrumah, A.Y., Aidoo, E.N. Ackaah, W. (2022). Mixed-effect logit analysis of red-light violation among motorcyclists. Communications in Statistics: Case Studies, Data Analysis and Applications, 8:505-514. https://doi.org/10.1080/23737484.2022.2074913