Nagham Mohammad

Assistant Professor, Statistics
Phone number: 
519-824-4120 x53298
MacNaughton 513

Available positions for grads/undergrads: 

Inquire by email

I am a teaching focused faculty member, and much of my time is spent teaching statistics and mathematics courses.  My teaching interests include the development of course content and resources for all levels of statistics and mathematics courses.

Research Themes:

My research interests cut across several areas of statistics and pedagogy. In the areas of statistics, I am interested in developing, applying statistical models for estimation and prediction, and the analysis of incomplete data. I am motivated by scientific and technical issues that arise in public health, the social sciences and other areas. My research typically involves strong statistical computing skills. 

I have supervised many fantastic undergraduate student projects and URA that have focused on:

  • Regularized Gamma Regression
  • Variable Selection in Gamma Regression Model.
  • Comparing Gamma and Log-Normal GLMS in R using.
  • Model Fitting for Gamma Distributed Data

 In the areas of teaching and learning, my current research interests are in the mathematical and statistical education particularly focusing on the impact of technology-enhanced and group activities on student learning and attitudes toward statistics and mathematics. I have held surveys to capture student perspectives, study habits, confidence, and many other pieces of information.  I presented papers on various issues related to the use of technology in large mathematics and statistics classes. My goal is to use some of this research to continue to improve the delivery of courses that I am involved with.

I am also interested in graduate supervision.



  • Ph.D. (2014) – Doctor of Philosophy Statistics (Biostatistics)Western University - London, Canada
  • M.Sc (2009) – Master of Science StatisticsWestern University, Canada
  • M.Sc (1993) – Master Degree in StatisticsBaghdad University, Baghdad - Iraq.
  • B.Sc (1989) – Bachelor Degree in StatisticsBaghdad University, Baghdad- Iraq


  • Assistant Professor, University of Guelph (September, 2018 - Present), Guelph, Canada.
  • Lecturer, Dept of Statistics & Actuarial Science, University of Waterloo (2014 - 2018), Waterloo, Canada-Ontario.
  • Assistant Professor, McMaster University (September, 2013 - September, 2014), Ontario, Canada.
  • Lecturer, Western University (2012 - 2013), London, Canada.
  • Assistant Professor, Al-Fatah University (1997 - 2005), Tripoli, Libya.
  • Assistant Professor, Baghdad University (1994 - 1997), Baghdad, Iraq.
  • Assistant Programmer, Baghdad University (1988 - 1991), Baghdad, Iraq.


  • 2021 UGFA Distinguished Professor Award for Excellence in Teaching in the College of Engineering and Physical Sciences, University of Guelph.



  • 2021-2022: Favourite winter professor in 2021 (MATH*1160) by students in residence, through the professor recognition program set up by Student Housing Services., University of Guelph.
  • 2019-2020: Nominated for Favourite Fall Semester Professor by students (mostly first-year) in residence halls across the campus of Guelph University as their favourite fall Semester professor, who positively impacted their academic experience at Guelph.
  • 2017-2018 – 2018-2019: One of the Top teachers at the department of Statistics and Actuarial Science, Waterloo University.
  • 2015-2016: One of the top teachers at the department of Statistics and Actuarial Science, Waterloo University.


  • 2023-2024: OSSTF/FEESO Research Grant for Emergent Issues and Priorities.  The Ontario Secondary School Teachers' Federation, Municipial Government
  • 2021-2022: Physical Science and Engineering Education Research Centre Grant for pedagogy related research, University of Guelph.


  • Functional linear models/ Model selection
  • Analysis of missing data
  • Survey sampling design and estimation
  • Time Series analysis
  • Applied Statistics

Pedagogy Research

  • *Mohammad, Nagham; Nica, Mihai; Levere, Kimberly; Okner, Rachel, Promoting engagement via engaged Mathematics labs and supportive learning, International Electronic Journal of Mathematics Education, Volume 18, Issue 2.  February 2023.

  • Mohammad Nagham, Mihai Nich, Kimberly Levere and Kraus Daniel (2020-2022). Students Experience using Synchronous and Asynchronous Learning in Mathematics Classes (in progress).

  • Mohammad Nagham, Dawoud Dina and Skrzydlo Diana (2018). Keeping the Learner Interested in Class: Engaging Students with Clickers. University of Waterloo Teaching and Learning Conference 2018.

  • Mohammad, Nagham and Dawoud Dina (2017). Student Feedback on the use of Clickers in Large Courses with Multiple Sections. University of Waterloo Teaching and Learning Conference 2017.


Science Research