Hanine Antouan Bou Antoun
  • Hanine Antouan Bou Antoun

  • Senior Lecturer, Director of Office of International Academic Affairs
  • Ext: 6681

Hanine Bou Antoun is a Lecturer of Statistics at the Unit of General Studies, Ajman University, where she has been since September 2016. Prior to this, she taught basic and advanced business statistics courses at LIU and CNAM universities in Lebanon. She also served as a Business Analytics Lecturer with a leading international training provider for senior managers. With over 7 years of professional experience in marketing research, Hanine is an expert in data analysis and data processing. She holds a Master’s Degree in Statistics from Lebanese University. Her current research interests include multistate Markov models for predicting the risk of death in terminally ill patients and studying the effects of dual smoking using kinetic measurements.

Education
  • M.Sc. in Statistics, Lebanese University, Lebanon, 2010
  • B.Sc. in Applied Mathematics in Statistics, Lebanese University, Lebanon, 2008
Experience
  • Full-time Statistics Lecturer, Unit of General Studies, UAE – September 2016 to Present.
  • Part-time Statistics Lecturer, Business School, LIU, Lebanon – 2013 to 2016.
  • Part-time Statistics Lecturer, Business School, CNAM, Lebanon – 2014 to 2016.
  • Online Business Analytics Trainer, Edupristine – 2016 to 2017.
  • Analytics Project Manager, Analytics Department, IPSOS, Lebanon – 2014 to 2015.
  • Data Processing Project Manager, Data Processing Department, IPSOS, Lebanon – 2008 to 2014.
Teaching Area
  • Basic Statistics: Data Description (Measures of Central Tendency, Measures of Dispersion, Skewness, etc.), Probability Concepts and Probability Distributions (Discrete and Continuous), Sampling Methods, and more.
  • Statistics Lab: Teaching students Statistics using Minitab, a user-friendly statistical tool, and organizing SPSS workshops for students and faculty members.
  • Advanced Statistics: Time Series, Hypothesis Testing, Estimation and Confidence Intervals, t-tests, ANOVA, Correlation, Simple and Multivariate Regression, Chi-Square Applications, and Lab Sessions using SPSS Software.
  • Business Training Sessions for Company Managers: Business Analytics Applications using Excel and R Software.
Research
  • Multistate Markov Models to Predict the Risk of Death for Terminally Ill Patients.
  • Effects of Dual Smoking Using Kinetic Measurements.