Dr Maybin Muyeba
School of Science, Engineering & Environment
Current positions
Lecturer
Areas of Research
My main research interests in Data science are in application of fuzzy inference and uncertainty to various machine learning problems, and their fusion models, in various applications, but not limited to:
- Health (clinical and image data - e.g. Alzheimer's Disease case )
- The environment (Agriculture, climate and pollution - remote sensing, image analysis, applying fusion modeling for uncertainty of single models)
- Sport Science and biomechanics
Dr Muyeba serves as the program leader for the DipHE Digital Software Technology programme and as module leader for Industrial Year Placement He is currently involved in the following modules :
Database systems (First Year)
Industrial Placement Year (Second Year)
BSc Projects (Third Year)
MSc Project (Dissertation)
Machine Learning and Data Mining (MSc)
Qualifications
-
Computer Science
1996 - 2000
Recognitions
-
Journal Reviewer (Information Sciences, ScienceDirect, 2010)