HomeCollegesCollegesCollege of Natural and Health SciencesFaculty And StaffProfilesDr. Linda Smail, FHEA
Associate Professor

B.S., Batna University, Algeria, 1998 (Mathematics, Honors)
M.S., Marne-la-Vallée University, France, 2000 (Applied Mathematics, Honors)
Ph.D., Marne-la-Vallée University, France, 2004 (Applied Mathematics, Honors)
B.S., University of London, United Kingdom, 2017 (Mathematics and Economics, Honors)

Bio

Dr. Smail joined Zayed University as an Associate Professor in the Mathematics and Statistics Department in the College of Natural and Health Sciences. Prior to coming to ZU, she worked for the New York Institute of Technology and The American University or Iraq, Sulaimani.  She received her B.S. and Ph.D. in Applied Mathematics from Marne-La-Vallée University, France. Dr. Smail research interests include Bayesian networks and machine learning, in particular Bayesian inference and learning in graphical models. Dr. Smail also focuses on using applications of Bayesian Networks in education  and other fields.

EMPLOYMENT HISTORY:

2014 – 2015 Associate Professor in the Mathematics and Sciences department, College of Arts and Applied Sciences (CAAS), Dhofar University, Salalah, Oman.
2011 - 2014 Chair of the Mathematics and Natural Sciences Department. The American University of Iraq, Sulaimani (AUIS)
2006 - 2011 Assistant/Associate Professor in Colleges of Arts and Sciences & Computer Sciences. New York Institute of Technology. (NYIT)

 
Office

Dubai Academic City, C-L2-018

Phone:

+971 4 4021612

Email:
Teaching Areas

Dr. Smail, FHEA. Fellow of The Higher Education Academy in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education. Recognition reference: PR159044. Date of recognition: 20/12/2018. Dr. Smail have been teaching a wide range of mathematics courses for undergraduates and graduate students such as, Analysis, Algebra, Pre-Calculus, Calculus, Calculus I, II, and III, Differential Equations, Linear Algebra, Probability, Statistics, Statistics for Managers, Inferential Statistics, Statistical Sampling Theory, Business Mathematics, Discrete Structures, Statistical Design, Graphical Models, Bayesian Networks theory and applications, Quantitative Business Analysis, Calculus and Statistics for Environmentalists, Social Scientists, and Managers. 

Research and Professional Activities

My research interests include graphical models and Bayesian Networks. I am not only interested in Bayesian inference and learning in graphical models, but also using Bayesian netwiorks in different domains involving decision taking. My recent research focuses on topics related to the UAE such as health and education using both Statistics and Bayesian Networks.

CURRENT RESEARCH PROJECT:

2019 [2 years grant]: Smail, L., Jassim, G., Tirmazy, S., & Awad, M. Quality of life of Emirati Women with Breast Cancer. The aim of this study is to contribute to the evaluation and understanding of the current situation of quality of life of breast cancer survivors in the UAE. It will identify the relationship between their quality of life, their sociodemographic characteristics and religious influences that differ in the UAE from other Arabic countries which could have different findings from those elsewhere. The results will have a great impact on women’s quality of life as well as healthcare policies regarding their wellbeing.

MEMBERSHIP OF SCIENTIFIC AND PROFESSIONAL SOCIETIES: 

  • Society of Industrial and Applied Mathematics
  • American Mathematical Society
  • Association for Computing Machinery

SELECTED PUBLICATIONS:

  • Smail, L., Ghufran A. Jassim, Qasim M. Al-Shboul, and Afaaf Saeed Hattawi. (2019) Emirati Women’s Attitudes Towards the Menopause: Implications for Health-Care Policy. Post Reproductive Health. June;25(2):71-79. doi: 10.1177/2053369119848888.

  • Smail, L., & Silvera, G. & Smail, L. (2019). Relationships between teamwork and suicidal behavior in Juvenile detention facilities using Bayesian networks, Cogent Social Sciences, 5:1, DOI: 10.1080/23311886.2019.1652984

  • Smail, L. (2018). Junction trees construction: Application to Bayesian networks. AIP Conference Proceedings 2025, 100007; https://doi.org/10.1063/1.5064936.

  • Smail, L. (2018). Bayesian network model for temperature forecasting in Dubai. AIP Conference Proceedings 2025, 100006; https://doi.org/10.1063/1.5064935.

  • Smail, L., & Silvera, G. (2018). American Universities in the Middle East: A Student’s Perspective. Cogent Education, 5(1) doi:10.1080/2331186X.2018.1447228.

  • Smail L., Azouz Z. (2017) Factorization of Computations in Bayesian Networks: Interpretation of Factors. In: Abualrub T., Jarrah A., Kallel S., Sulieman H. (eds) Mathematics Across Contemporary Sciences. AUS-ICMS 2015. Springer Proceedings in Mathematics & Statistics, vol 190. Springer, Cham. http://www.springer.com/gp/book/9783319463094)

  • Smail, L. (2017). Using Bayesian Networks to Understand Relationships among Math Anxiety, Genders, Personality Types, and Study Habits at A University in Jordan. Journal on Mathematics Education, Volume 8 (1), pages: 17-34, doi: http://dx.doi.org/10.22342/jme.8.1.3405.17-34.

  • Linda Smail (2017). Junction Tree constructions in Bayesian Networks. Journal of Physics.: Conference Series. Volume 893 012056. http://iopscience.iop.org/article/10.1088/1742-6596/893/1/012056/meta

  • Smail, L. (2016). Comparison of Lauritzen-Spiegelhalter and Successive Restrictions Algorithms for Computing Probability Distributions in Bayesian Networks. AIP Publishing., doi: 10.1063/1.4952522.

  • Silvera, G. & Smail, L. (2016). Using Bayesian Networks to Understand Representative Bureaucracy in Juvenile Detention Facilities. International Journal of Business and Public Administration.

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