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Faisal Khamis
BS (University of Baghdad), MS (University of Baghdad), PhD (National University of Malaysia)

416.798.1331 ext. 6312

Dr. Faisal G. Khamis joined the University of Guelph-Humber in 2019. He has been a professional educator for 27 years, where he has engaged in teaching, research, and university and community service. He is an Associate Professor of Statistics, and throughout his career has taught approximately 20 different courses at various undergraduate and graduate levels at universities and colleges worldwide. Dr. Khamis 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. In 2019, he obtained the certificate of Internationally-Trained Professional Co-operative Education Program from Brian J. Fleming Learning Centre, Canada. He was recognized in the first 5% of academic evaluation levels in the 2017/18 academic year at the Al Ain University of Science and Technology. Dr. Khamis was awarded the Accredited Professional Statistician accreditation by the American Statistical Association (ASA) in 2011. He is an expert at the League of Arab States in the field of Population and Development. He is a professionally active Chartered Statistician and a Chartered Scientist awarded by the Royal Statistical Society (RSS), UK. He is a Consultant in Statistics, as per the directory of the RSS. He is also a Certified Data Scientist awarded by the Data Science Central, USA. He has published nearly 30 research papers in various internationally-refereed journals and has delivered approximately 20 presentations at international conferences in the fields of Applied Multivariate Statistics, Mortality, Social Science, Economics, and Spatial and Temporal Statistics. Dr. Khamis is currently an Editor-in-chief, Associate Editor, and Reviewer for approximately 40 international journals. He is a member of more than 25 professional associations and societies, such as ASA, RSS, Statistical Society of Canada, and International Statistical Institute.

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