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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 Learning and Data Science

Research areas

Sensitivity Analysis in Nonlinear Models, Statistical Design of Experiments, Feature Selection, Ensemble Learning, Outlier Detection in Big Data

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 30 years of teaching, research and consulting experience in the field of statistics and its applications in data mining, machine learning and 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; feature selection; outlier detection, statistical design of experiments.

Publications

Ahmad Alsaleh, Omar Safwat, Medhat Abouzeid, Hana Sulieman And Hamzah Al Zubaidi. UNDERSTANDING DIABETES DISTRESS: A MACHINE LEARNING APPROACH, Ieee Xplore

Dania Dallah, Hana Sulieman And Ayman Alzaatreh. RELATIVE RANGE FOR SKEWED DISTRIBUTIONS: A TOOL FOR OUTLIER DETECTION, Gulf Journal Of Mathematics, 18 April (2nd Quarter/Spring) 2024

Hana Sulieman And Dania Dallah. Outlier detection using the Range Distribution, Trends In Mathematics, March 2024

Rohan Mitra, Eyad Ali, Dara Varam, Hana Sulieman And Firuz Kamalov. Variable Selection in Data Analysis: A Synthetic Data Toolkit, Mathematics, February 2024

Firuz Kamalov, Hana Sulieman, Sherif Moussa, Jorge Reyes And Murodbek Safaraliev. Powering Electricity Forecasting with Transfer Learning, Energies, January (1st Quarter/Winter) 2024

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

Firuz Kamalov, Hana Sulieman And Aswani Kumar Cherukuri. Synthetic data for feature selection, Lecture Notes In Computer Science, September 2023

Firuz Kamalov, Hana Sulieman, Sherif Moussa, Jorge Reyes And Murodbek Safaraliev. Nested ensemble selection: An effective hybrid feature selection method, Heliyon, September 2023

Hana Sulieman, Diaa Abuhani And Jowaria Khan. Detecting Vitamin A Deficiency in Schoolchildren Using an Enhanced Explainable Machine Learning Model, Ieee Xplore, July (3rd Quarter/Summer) 2023

Hana Sulieman, Rohan Mitra, Dara Varma And Eyad Ali. Development of Synthetic Data Benchmarks for Evaluating Feature Selection Algorithms, Ieee Xplore, July (3rd Quarter/Summer) 2023

Amril Nazir, Rohan Mitra, Hana Sulieman And Firuz Kamalov. Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention, Sensors, June 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. 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. Development and Psychometric Evaluation of the Antibiotic Knowledge and Consumption Tool (AKCT), Antibiotics, October (4th Quarter/Autumn) 2022

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

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

UNDERSTANDING DIABETES DISTRESS: A MACHINE LEARNING APPROACH, 6th Hct International Multi-conferences On Advances In Science And Engineering Technology Aset 2024, May 2024

Relatrive range for outlier detection, Uaegsrc 2024, April 2024

Relativerangefor skewed distributions: a tool for outlier detection., International Symposium On Advances In Mathematical Sciences 2024, March 2024

Synthetic Data for Feature Selection, 9th International Congress On Information And Communication Technology, February 2024

Evaluation of Feature Selection Algorithms based on Synthetic Data, 64th Worl Statistics Conference, July 2023

Synthetic Data for Feature Selection, 22nd International Conference On Artificial Intelligence And Soft Computing Web System, June 2023

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 - June 2024

Grant, Faculty Research Grant 2022 (FRG22), 30 May 2022 - May 2024

Grant, Faculty Research Grant, 1 June 2021 - June 2022

Grant, Faculty Research Grant 2021, 31 May 2021 - May 2022

Grant, Faculty Research Grant, June 2019 - June 2020

Grant, EFRG Smart Cities Research, AUS, 25 May 2018 - 31 May 2020