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Name
Dr. Edward Kanuti Ngailo

Academic Rank
Lecturer

Department
Physics, Mathematics & Informatics(PMI)

Biography

Biography

Dr. Edward Kanuti Ngailo is a Lecturer in the Department of Physics, Mathematics and Informatics within the Faculty of Science at DUCE (Dar es Salaam University College of Education) a constituent college of the University of Dar es Salaam (UDSM), Tanzania. He holds a PhD in Mathematical Statistics from Linköping University (Sweden), a Licentiate Degree in Mathematical Statistics from Stockholm University (Sweden), and specializes in multivariate statistical analysis. His educational background includes an MSc in Mathematical Modeling (UDSM, Tanzania) and a BEd. Sc. (UDSM). His teaching areas encompass Multivariate Statistics, Linear Models, and Machine Learning. His research focuses on statistical methodologies for classification, repeated measurements, and data-driven applications in energy systems and public health.

Contacts

Email:

Email Address
edward.ngailo@udsm.ac.tz

Mob:

Research Interest

Research Interest
Experimental designs, Multivariate Statistical methods, Machine Learning (regression/classification), Mathematical Statistics, Linear Models, Statistical Methods for Development Evaluation, Energy Theft Detection.

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Projects

Projects

  1. The Effect of Construction of Word Problems on Student’s Performance in Primary Schools(2023–Completed, Principal Investigator). Funding: UDSM Competitive Research and Innovation Grants 2022. Collaborators: Dr. Janeth Kalinga, Dr. Fanuel Lemma

  2. Data Driven Analysis for Energy Theft Detection in Power Grids(2022. Collaborators: Dr. Elimboto Yohana, and Dr. Diana Rwegasira. Funding: UDSM Competitive Research and Innovation Grants 2022. 

Publications

Publications

  1. Chuma, F.M., & Ngailo, E.K.(2024). Mathematical analysis of Campylobacteriosis disease model in human with saturated incidence rate and treatment. 

  2. Ngailo, E.K., & Nadarajah, S.(2023). Classification of Repeated measurements using bias corrected Euclidean distance function. Journal of the Korean Statistical Society. https://doi.org/10.1007/s42952-023-00246-z

  3. Ngailo, E.K., & Chuma, F.(2022). Approximation of misclassification probabilities in linear discriminant analysis based on repeated measurements. Journal of Communications in Statistics-Theory and Methods. https://doi.org/10.1080/03610926.2022.2062605

  4. Ngailo, E.K., & Ngaruye, I.(2022). Asymptotic results for expected probability misclassifications in linear discriminant analysis with repeated measurements. Journal of Communications in Statistics-Theory and Methods. https://doi.org/10.1080/03610926.2022.2116286

  5. Ngailo, E.K., von Rosen, D., & Singull, M. (2021). Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements. Acta et Commentationes Universitatis Tartuensis de Mathematica. https://doi.org/10.12697/acum.2021.2505

  6. T. Bodnar, S. Mazur, Ngailo, E., & N. Parolya (2019). Discriminant analysis in small and large dimensions. Theory of Probability and Mathematical Statistics, 100: 24–42. https://doi.org/10.1090/tpms/1096