Dr. Hana Sulieman | American University of Sharjah
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Profile

College / Department

College of Arts and Sciences
Department of Mathematics and Statistics

Teaching areas

Statistics, Probability and Random Processes, Business Mathematics; Statistical Modeling and Data Science

Research areas

Sensitivity Analysis in Nonlinear Models, Statistical Design of Experiments, Feature Selection in Machine Learning

Education

PhD, Applied Statistics, Queen's University, Canada, 1998
MS, Statistics, Yarmouk University, Jordan, 1990
BS, Statistics, Yarmouk University, Jordan, 1988

Professional experience

Associate Dean, College Of Arts And Sciences, American University of Sharjah, UAE, 2020 - Present
Professor Of Statistics And Head Of Department Of Mathematics And Statistics, American University of Sharjah, 2014 - 2019
Associate Professor Of Statistics And Interim Head, Department Of Mathematics & Statistics, American University of Sharjah, United Arab Emirates, 2013 - 2014
Associate Professor Of Statistics, American University of Sharjah, United Arab Emirates, 2008 - 2013
Assistant Professor Of Statistics, American University of Sharjah, United Arab Emirates, 2002 - 2008
Research Associate, Queen's University, Ontario, Canada, 1999 - 2002
Teaching Assistant, Queen's University, Ontario, Canada, 1997 - 1998
Lecturer,, University of New Brunswick, New Brunswick, Canada, 1996 - 1997
Teaching Assistant And Consultant, Queen's University, Ontario, Canada, 1992 - 1995
Lecturer, The Higher College for Upgrading Certified Teachers, Irbid, Jordan, 1990 - 1991
Teaching Assistant, Yarmouk University, Irbid, Jordan, 1988 - 1990

Memberships

International Statistical Institute, April 2012
American Statistical Association, August 1994 - May 1998

Contact

[email protected]
+971 6 515 2928

Dr. Hana Sulieman

Professor
PhD, Queen's University, Canada

Hana Sulieman has more than 20 years of teaching, research and consulting experience in the field of statistics and its applications to other disciplines. Prior to joining AUS, she taught at the University of New Brunswick and Queen's University, Canada. Her areas of research interests include sensitivity analysis in statistical modeling; analysis of big data and machine learning; statistical design of experiments.

Publications

Zeyad Almajid, Nour Alsawaftah, Hana Sulieman And Ghaleb Husaini. Liposomal Encapsulation of Chemotherapeutics Agents Combined with the Use of Ultrasound in Cancer Treatment, Journal Of Biomedical Nanotechnology, 2023
Najla Salkho, Hana Husseini, Zeyad Almajed And Ghaleb Husaini. Modeling of the In Vitro Release Kinetics of Sonosensitive Targeted Liposomes, April (2nd Quarter/Spring) 2023
Dania Dallah, Hana Sulieman And Ayman Alzaatreh. Outlier Detection Based on Range Statistic: Empirical Evaluation and Comparisons
Hana Sulieman. Machine learning applications for COVID-19: a state-of-the-art review, January (1st Quarter/Winter) 2023
Hana Sulieman, Diaa Abuhani And Jowaria Khan. Detecting Vitamin A Deficiency in Schoolchildren Using an Enhanced Explainable Machine Learning Model, Ieee Xplore
Hana Sulieman. Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology, Mathematics, January (1st Quarter/Winter) 2023
Hana Sulieman. XyGen: Synthetic data generator for feature selection, Software Impacts, January (1st Quarter/Winter) 2023
Zeyad Almajed, Najla Salkho, Hana Sulieman And Ghaleb Husaini. Modeling of the In Vitro Release Kinetics of Sonosensitive Targeted Liposomes, Biomedicines, 2022
Reem Salman, Ayman Alzaatreh And Hana Sulieman. The stability of different aggregation techniques in ensemble feature selection, Journal Of Big Data, 1 December 2022
Hana Sulieman, Rohan Mitra, Dara Varma And Eyad Ali. Development of Synthetic Data Benchmarks for Evaluating Feature Selection Algorithms, Ieee Xplore
Hana Sulieman. Development and Psychometric Evaluation of the Antibiotic Knowledge and Consumption Tool (AKCT), Antibiotics, October (4th Quarter/Autumn) 2022
Hana Sulieman And Dania Dallah. Outlier detection using the Range Distribution, Trends In Mathematics
Reem Salman, Ayman Alzaatreh And Hana Sulieman. The stability of different aggregation techniques in ensemble feature selection, Journal Of Big Data, April (2nd Quarter/Spring) 2022
Firuz Kamalov And Hana Sulieman. Time series signal recovery methods: comparative study, Ieee Xplore: Proceedings Of International Symposium On Networks, Computers And Communications (isncc), 2021, November 2021
Hamzah Alzubaidi, Hana Sulieman, Kevin Mc Namara, Catarina Samorinhaa And Colette Browning. The relationship between diabetes distress, medication taking, glycaemic control and self-management, International Journal Of Clinical Pharmacy, September 2021
Firuz Kamalov, Hana Sulieman And David Calonge. Machine Learning Based Approach to Exam Cheating Detection, Plos One, August 2021
Sadok Kallel, Hana Sulieman, Amjad Tuffaha And Taher Abulrub. Special Volume AUS-ICMS 2020, Advances In Pure And Applied Mathematics, July (3rd Quarter/Summer) 2021
Betty Lanteigne And Hana Sulieman. Score Changes with Repetition of Paper Version(s) of the TOEFL in an Arab Gulf State: A Natural Experiment, 21 March 2021
Reem Salman, Ayman Alzaatreh And Hana Sulieman. A Bootstrap Framework for Aggregating within and between Feature Selection Methods, Entropy, February 2021
Yuanyuan Zhang, Stephen Chan, Jeffrey Chu And Hana Sulieman. On the Market Efficiency and Liquidity of High-Frequency Cryptocurrencies in a Bull and Bear Market, Journal Of Risk And Financial Management, January (1st Quarter/Winter) 2020
Ayman Alzaatreh And Hana Sulieman. On fitting cryptocurrency log-return exchange rates, Empirical Economics, 16 October (4th Quarter/Autumn) 2019
Hana Sulieman And Ayman Alzaatreh. Supervised Feature Selection Approach Based on Global Sensitivity, Archives Of Data Science, Series A, September 2018
Hana Sulieman And Ayman Alzaatreh. Supervised Feature Selection Approach Based on Global Sensitivity, July (3rd Quarter/Summer) 2018
Dmitry Efimov And Hana Sulieman. Sobol Sensitivity: a strategy for Feature Selection, Springer Proceedings In Mathematics And Statistics, 1 February 2017
Taher Abualrub, Abdul Jarrah, Sadok Kallel And Hana Sulieman. Preface, 1 January (1st Quarter/Winter) 2017
Taher Abualrub, Abdul Jarrah, Sadok Kallel And Hana Sulieman. Preface, 1 January (1st Quarter/Winter) 2017
Hana Sulieman. Students' Conception of Statistics: An Exploration of Attitudes Across Majors, International Research In Education, 1 September 2015
Sana Hasan, Hana Sulieman, Kate Stewart, C Chapman And Dcm Kong. Patient expectations and willingness to use primary care pharmacy services in the United Arab Emirates, International Journal Of Pharmacy Practice >, 1 January (1st Quarter/Winter) 2015
G.a. Choudhary, M.k. Patell And Hana Sulieman. The Effects of Repeated Caesarean Sections on Maternal and Fetal Outcomes, Saudi Journal Of Medicine & Medical Sciences, 1 January (1st Quarter/Winter) 2015
Hana Sulieman. Evaluation of outcomes associated with Evaluation of outcomes associated with placement of elective, urgent and emergent cerclage", Journal Of Obstetrics And Gynecology Of India, 1 February 2013
Hana Sulieman. Shadow Learning in Undergraduate Mathematics: an Exploratory Study, International Journal Of Modern Education Forum, 1 November 2012
Ahmad Al-issa And Hana Sulieman. Student evaluations of teaching: Perceptions and biasing factors, Quality Assurance In Education, July (3rd Quarter/Summer) 2007
Ahmad Al-issa And Hana Sulieman. L2 learners and student evaluations of teaching: Issues of language comprehension at an American university in the UAE, January (1st Quarter/Winter) 2007

Conference Presentations

Development of Synthetic Data Benchmarks for Feature Selection, 9th International Conference On Modeling Simulation And Applied Optimization 2023 (icmsao'23), April 2023
Anti-Correlation D-optimality for Designing Experiments in Nonlinear Situations, Uae Math Day 2023, Dubai, March 2023
Bootstrap Aggregation Methods for Feature Selection., The 8th International Conference On Advances In Statistics, May 2022
The Stability Influence of the Aggregation Procedure on Ensemble Feature Selection, Uae Graduate Students Research Conference (uae-gsrc), March 2022
The Stability of Different Aggregation Techniques in Ensemble Feature Selection, The Second Women In Research And Innovation, August 2021
An Ensemble Framework for Feature Selection Methods., Uae Graduate Students Research Conference 2021, June 2021
An Ensemble Framework for Feature Selection Methods, Uae Graduate Students Research Conference 2021, 28 June 2021
A Bootstrap Framework for Aggregating Within and Between Feature Selection Methods., The Third Aus Regional Students Conference On Mathematics,, April 2021
Feature selection approach based on global sensitivity, International Conference On Articial Intelligence Towards Industry, November 2019
D-optimal Designs for Correlated Parameters in Nonlinear Models, International Conference On Computational Methods In Applied Sciences, 11 July 2019
Supervised feature selection approach based on global sensitivity., Uae Math Day 2019, March 2019
Supervised Feature Selection Approach Based on Global Sensitivity, European Conference On Data Analysis (ecda), 4 July 2018
Family of symmetric distributions and its application on modeling cryptocurrencies exchange rate, International Conference On Mathematics And Related Sciences, May 2018
Sobol Sensitivity for Machine Learning, 7th International Conference On Modeling, Simulation, And Applied Optimization (icmsao'17), April 2017
Sobol sensitivity for Machine Learning: two approaches, 2017 9th International Conference On Machine Learning And Computing (icmlc 2017), Singapore, February 2017

Grants and sponsorships

Grant, Faculty Research Grant 2022 (FRG22), 30 May 2022 - May 2024
Grant, Faculty Research Grant 2022 (FRG22), 30 May 2022 - December 2023
Grant, Faculty Research Grant, 1 June 2021 - June 2022
Grant, Faculty Research Grant 2021, 31 May 2021
Grant, Faculty Research Grant, June 2019 - June 2020
Grant, EFRG Smart Cities Research, AUS, 25 May 2018 - 31 May 2020

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