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Areas of Consultancy:
Applied operational researchDesign and analysis of experimentsExploratory data analysisForecastingMultivariate analysisSpatial statisticsStatistical computingStatistical inferenceTime series
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Dr. Faisal Khamis joined the University of Guelph, Canada in 2020. He joined the University of Guelph-Humber and Humber College, Canada in 2019. He is a professional educator with 30+ years of teaching, research, and university and community service. He is an Associate Professor of Statistics. He is a graduate of Baghdad University where he received his B.Sc. and M.Sc. Degrees in Statistics in 1992 and 1995, respectively. He received his Ph.D. in Statistics from the National University of Malaysia in 2008. He obtained the certificate of Internationally Trained Professional Co-operative Education Program at the Brian J. Fleming Learning Center, Canada in 2019. He has taught approximately 28 different courses in Statistics, Mathematics, Operations Research, Software Applications, and Research Methodology at undergraduate and graduate levels at 16 worldwide universities and colleges in seven countries. Recognized at the first 5% of an academic evaluation level in the academic year 2017/2018 at Al Ain University.
Dr. Khamis is an Accredited Professional Statistician awarded by the American Statistical Association (ASA) and Statistical Society of Canada (SSC). He is an expert at the League of Arab States in the field of Population and Development. He is a professionally active Chartered Statistician awarded by the Royal Statistical Society (RSS) and a Chartered Scientist awarded by the Institute of Mathematics and its Applications (IMA), UK. He is a Consultant in Statistics, as per the directory of the RSS. He is a Certified Data Scientist awarded by the Data Science Central, USA. He has published 30 research papers in internationally refereed journals and has delivered approximately 20 presentations at international conferences in the fields of Applied Multivariate Statistics, Mortality, Social Science, Economics, Public Health, and Spatial and Temporal Statistics.
Applied Multivariate Statistics, Applied Social Statistics, Econometrics, Mortality, Epidemiology, Biostatistics, Spatial and Temporal Statistics, Time Series Analysis and Forecasting, Regression Analysis, Structural Equations Modeling.