Professor

Bio

Dr. Smail is a Professor in the College of Interdisciplinary Studies at Zayed University. She received her B.Sc. in Mathematics and Economics from LSE and her M.Sc. and Ph.D. in Applied Mathematics from Marne-La-Vallée University, France. Her research interests include inference in Bayesian Networks and learning in graphical models with a focus on exact inference algorithms. Her primary scholarly goal is to conduct research and use Bayesian Networks in different fields from Medical, Entrepreneurship, to decision making under uncertainty. Dr. Smail is active in pursing research in applied mathematics and statistics, but after she joined Zayed University an unexpected opportunity to work with students from the business, nutrition, and public health departments on their senior projects. It ignited in her a passion for interdisciplinary research. Her latest research deals with the quality of life of Emirati women with breast cancer, and entrepreneurial intentions among Emirati youth.

Office

Dubai Academic City, F-L2-040

Phone:

+971 4 402 1612

Email:

Teaching Areas

Bayesian Networks, Statistics, Economics.

Research and Professional Activities

Smail, L, Alawad, M, Abaza, W, Kamalov, F, Alawadhi, H. (2022) Modelling entrepreneurial intentions and attitudes towards business creation among Emirati students using Bayesian Networks. World Journal of Entrepreneurship, Management and Sustainable Development. WJEMSD V18 N7 2022.

Johnson, J. D., Smail, L., Corey, D., & Jarrah, A. M. (2022). Using Bayesian networks to provide educational implications: Mobile learning and ethnomathematics to improve sustainability in mathematics education. Sustainability (Switzerland), 14(10) doi:10.3390/su14105897.

Gurrib, I., Kamalov, F., Smail, L. (2021). Bitcoin price forecasting: Linear discriminant analysis with sentiment evaluation ACM International Conference Proceeding Series, art. no. 3485561, . DOI: 10.1145/3485557.3485561

Al Ghali, R., Smail, L., Muqbel, M. et al. (2021). Maternal investment, life-history trajectory of the off-spring and cardiovascular disease risk in Emirati females in the United Arab Emirates. BMC Public Health 21, 1237 (2021). https://doi.org/10.1186/s12889-021-11182-0

F. Kamalov, L. Smail and I. Gurrib. (2020). Forecasting with Deep Learning: S&P 500 index.  13th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 2020, pp. 422-425, doi: 10.1109/ISCID51228.2020.00102.