Banna Al-Naimi
Senior Administrative Officer
Educational Qualifications
Bachelor
Entity
College of Islamic Studies
Bachelor
Qatar University
2001
Senior Administrative Officer
College of Islamic Studies, Hamad Bin Khalifa University
2013 – Present
Coordinator of Public Relation & Communication
College of Sharia & Islamic Studies, Qatar University
2011 – 2013
Administrative Coordinator
The Legal Department, Qatar University
2008 – 2011
Administrative Coordinator
OFID, Qatar University
2007 – 2008
Research Assistant
Environmental Studies Center, Qatar University
2005 -2007
Research Assistant (part-time employee)
Environmental Studies Center, Qatar University
2001 - 2005
Dr. Diana Alsayed Hassan
Assistant Professor
Educational Qualifications
PhD in Interdisciplinary Health Sciences
MSc. in Health Promotion Management
Entity
College of Public Policy
Biography
Diana Hassan is a public health scholar with a focus on community health promotion and health policy. She has more than 15 years of experience supporting initiatives that respond to the health needs of diverse populations across the lifespan and advancing policies that promote equity.
Before joining HBKU, Diana worked at Qatar University, where she conducted community-based research and supported institutional and national health priorities. She built a strong teaching record through curriculum development and student mentorship. Earlier in her career in the United States, she gained practice-based experience as a health educator, working with government agencies and community organizations on programs that strengthened community capacity and supported local health efforts.
Diana’s current work aims to bridge research, policy, and practice through initiatives on WHO age-friendly cities and health-promoting universities, ensuring that findings translate into strategies that advance population health and inform policy development.
Diana has secured competitive grants from funders including the Qatar National Research Fund, QU grants, the USDA, Blue Cross Blue Shield of Michigan, and the Allen Foundation.
PhD in Interdisciplinary Health Sciences
Western Michigan University, USA
2015
MSc. in Health Promotion Management
Marymount University, USA
2004
BSc. in Cellular and Molecular Biology
University of Tennessee, Knoxville, USA
2002
- Health promotion
- Health policy
- Healthy ageing
- Digital health
Assistant Professor
College of Public Policy, Hamad Bin Khalifa University
2025 - present
Assistant Professor
College of Health Sciences, Department of Public Health, Qatar University
2018 - 2025
Health Educator
Michigan State University, USA
2007 - 2018
Instructor
College of Education and Human Development, Western Michigan University, USA
2005 - 2006
Complete Publication Listing(s): Google Scholar
Dr. Nimir Elbashir
Professor
Educational Qualifications
PhD in Chemical Engineering
MSc in Chemical Engineering
Entity
College of Science and Engineering
Biography
Dr. Elbashir is a professor at the Chemical Engineering Department of the College of Science and Engineering at Hamad bin Khalifa University (HBKU) since August 2025. He was the director of Texas A&M University's Gas and Fuels Research Center from 2015-2025 and a professor in the Chemical Engineering Program at Texas A&M University at Qatar since 2008 (adjunct from August 2025). He has extensive research and teaching experience from industry and academia (e.g., BASF R&D Catalysts, Engelhard and SABIC). His research focuses on designing advanced reactors, catalysts for chemical and environmental processes, and is specialized in designing novel systems in sustainable gas-to-liquid and gas-to-carbon material, including CO2 utilization and decarbonization. He has established several unique global research collaboration models between academia and industry. He holds several granted patents and hundreds of scientific publications in peer-reviewed journals, conference papers, technical industry reports, and others. He has been recognized by awards from Qatar Foundation, BASF Corp., Texas A&M University, the American Institute of Chemical Engineers (AIChE), Shell, and others. Dr. Elbashir became a Fellow of the American Institute of Chemical Engineering in August 2023 and was elected as a member of the Sudan National Academy of Sciences (SNAS) in 2022.
PhD in Chemical Engineering
Auburn University, Alabama
2004
MSc in Chemical Engineering
Universiti Teknologi Malaysia
1998
BSc (Honors) in Chemical Engineering
University of Khartoum, Sudan
1994
- Reaction engineering and reactor design
- Applied catalysis
- Design of sustainable fuels and chemicals
- Gas-to-liquid and gas-to-carbon processes
Professor
Chemical Engineering, Hamad Bin Khalifa University
2025 - Present
Professor
Chemical Engineering and Petroleum Engineering, Texas A&M University, Qatar
2016 - 2025
Director of Texas A&M Gas & Fuels Research Center
Texas A&M University, Texas A&M University, Qatar
2015 - 2025
Associate Professor
Chemical Engineering, Texas A&M University, Qatar
2012-2016
Assistant Professor
Chemical Engineering, Texas A&M University, Qatar
2008-2012
Scientist (Research Engineer)
Environmental Catalysis, BASF Corp
2005-2008
Challiwala, M., Choudhury, H., Wang, D., El-Halwagi, M., Weitz, E., & Elbashir, N. O. (2021). A novel CO₂ utilization technology for the synergistic co-production of multi-walled carbon nanotubes and syngas. Scientific Reports, 11, 1417.
Elbashir, N., Challiwala, M., El-Halwagi, M., & Sengupta, D. (2017). Enhanced CO₂ fixation and syngas production using a two-reactor setup (U.S. Patent No. 11,591,213B2; WO2018187213A1; AU2018249486B2). U.S. Patent and Trademark Office.
- Best Paper Award in the American Institute of Chemical Engineers (AIChE) Spring Meeting 2025 (Fuels & Petrochemicals) (April 2025)
- Elected Fellow of the American Institute of Chemical Engineers (AIChE) (Aug. 2023)
- Elected Member, The Sudanese National Academy of Sciences (SNAS) (Jan. 2022)
- Distinguished Inventor of the Year 2020, Qatar Foundation (2020) (October 2022)
- 2012 Best Energy & Environment Research Program of the Year, Qatar Foundation (October 2012)
Dr. Hina Khalid
Assistant Professor
Educational Qualifications
PhD in Public Administration and Policy
Master in Public Policy (MPP)
Entity
College of Public Policy
Biography
Hina Khalid is an assistant professor in the College of Public Policy (CPP) at Hamad bin Khalifa University. Before joining CPP, she worked as a researcher in the Child Well-Being Research Unit, Washington State Department of Social and Health Services. She was also a lecturer at the School of Nursing and Health Studies, University of Washington Bothell, and an assistant professor at the Information Technology University in Pakistan.
Her research focuses on improving health outcomes with a special interest in how government policies, institutions, and politics mediate these outcomes. She has authored 15 peer-reviewed articles in leading journals such as the American Journal of Public Health, Social Science and Medicine, Health Systems, and The Lancet, among others.
Her research has been supported by grants from the World Health Organization, World Bank, Shahid Hussain Foundation, and the International Growth Centre.
PhD in Public Administration and Policy
Rockefeller College of Public Affairs and Policy. University at Albany, State University of New York.
2017
Master in Public Policy (MPP)
Lee Kuan Yew, School of Public Policy. National University of Singapore.
2010
BSc in Economics
Lahore University of Management Sciences
2007
- Health policy
- Maternal and child health
- Vaccine hesitancy
- Political commitment
Assistant Professor
College of Public Policy, Hamad bin Khalifa University
2025 - present
Researcher
Research and Data Analysis Division, Washington State Department of Social and Health Services, USA
2023 - 2025
Lecturer
School of Nursing and Health Studies, University of Washington at Bothell, USA
2023 - 2024
Assistant Professor
Economics, Information Technology University, Pakistan
2017 – 2021
- (2022) Increasing COVID-19 vaccine booster uptake in Pakistan. International Growth Centre. (GBP 19,996)
- (2021) Public Trust and the politics of Pakistan’s COVID-19 vaccination program. Evidence in Governance and Politics Group. (USD 10,000)
- (2020) COVID-19 and Slum Communities. Assessing the Health and Economic Impacts. World Health Organization. (USD 15,000)
- (2012-2017) Fulbright scholarship for doctoral studies. Fulbright, USA.
- (2008-2010) Full scholarship, Lee Kuan Yew School of Public Policy, Singapore
Dr. Hanan Qasem
Postdoctoral Researcher
Educational Qualifications
PhD in Biological and biomedical sciences
MS.c in Biochemistry
Entity
Qatar Biomedical Research Institute
Division
Translational Oncology Research Center
Biography
Dr Hanan Qasem obtained her MSc in Biochemistry from King Saud University, KSA, and completed her PhD in Biological and Biomedical Sciences at Hamad Bin Khalifa University, Qatar, in 2025.
Her doctoral research explored the therapeutic potential of targeting the cancer testis antigen Lactate Dehydrogenase C (LDHC) in triple-negative breast cancer. Her work identified key molecular mechanisms by which LDHC drives tumor progression, immune evasion, and chemoresistance. She validated a novel cell-penetrating peptide-based therapeutic approach to target LDHC in a xenograft zebrafish model, resulting in a significantly reduced tumor burden. Her research has contributed to advancing our understanding of TNBC biology and provides a foundation for novel therapeutic strategies to overcome chemotherapy resistance.
In 2025, Dr Qasem joined Dr Julie Decock’s team at QBRI as a Postdoctoral Researcher, where she investigates the role and clinical relevance of cancer testis antigens in pediatric oncology. She is passionate about translating fundamental scientific discoveries into clinical applications to improve treatment outcomes for cancer patients.
PhD in Biological and biomedical sciences
College of Health and Life Sciences, Hamad bin Khalifa University
2021 - 2025
MS.c in Biochemistry
College of Science, King Saud University
2013 - 2015
- Cancer biology
- Chemoresistance in breast cancer
- Gene therapy
- Pediatric tumor
Postdoctoral Researcher
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2025 - Present
Researcher
Central Laboratory, King Saud University, KSA
2018 - 2018
Researcher
Autism research and treatment center, King Saud University, KSA
2016 - 2017
Ola Al-anani
Project Analyst
Educational Qualifications
MS International Graduate Program for Educators
BSc in Civil Engineering
Entity
College of Islamic Studies
Division
Islamic Studies
Administration
Biography
Ola Al-anani is a project analyst at the College of Islamic Studies (CIS), Hamad Bin Khalifa University (HBKU). She coordinates the MA and PhD programs, organizes academic events, and streamlines communications between students, faculty, and university departments. For the MA program, she conducts research activities tied to ongoing research projects and maintains project documentation and timelines. As secretary to the Digital Sīrah Project, her scope centers on internal communications, meeting organization, archive management, and event planning. Her M.Ed. from SUNY Buffalo State strengthens her planning and problem-solving skills.
MS International Graduate Program for Educators
State University of New York, Buffalo State, USA
2022
BSc in Civil Engineering
The Hashemite University, Jordan
2017
Project Analyst
College of Islamic Studies, Hamad Bin Khalifa University
2025 – Present
Math Teacher
Learning Center, King’s Academy, Jordan
2022 – 2024
Math Teacher
Math Department, Eagles Academy, Jordan
2018 – 2020
Dr. Mustafa Jarrar
Full Professor
Educational Qualifications
PhD in Computer Science
M.Sc. in Computer Science
Entity
College of Humanities and Social Sciences
Biography
Dr. Mustafa Jarrar is a Full professor of Artificial Intelligence and the Director of SinaLab for Computational Linguistics and Artificial Intelligence. He is the founder and former director of the PhD Program in Computer Science at Birzeit University. He was a Fulbright visiting professor at the University at Buffalo in the USA (2016-2017), a Marie Curie fellow at the University of Cyprus (2007-2009), and a senior research scientist at Vrije Universiteit Brussel (1999-2007), where he completed his Masters (2000) and PhD (early 2005). Jarrar has won several prestigious awards, including the Shoman Arab Researchers Award in Technology, the Mohammed Bin Rashid Award for the Arabic Language, and the Google Faculty Research Award. He has published over 100 articles in the areas of Natural Language Processing, Ontology Engineering, the Semantic Web, and Graph Databases. Jarrar has also chaired 30 international conferences, a PC member of 150+ journals and conferences, coordinator/manager of 30 large EU projects, a full member of the IFIP2.6 on Database Semantics, the IFIP2.12 on Web Semantics, and the UN ESCWA Technology Centre Board of Governors, among others.
PhD in Computer Science
Vrije Universiteit Brussel
2005
M.Sc. in Computer Science
Vrije Universiteit Brussel
2000
M.Sc. in Computer Science
Palestine Polytechnic University
1995
- Natural language processing
- Social computing
- Ontology engineering
- Knowledge graphs
Professor of Computer Science
College of Humanities and Social Science, Hamad Bin Khalifa University
2025 - Present
Professor of Computer Science
Computer Science, Birzeit University, Palestine
2009 - 2025
Research Associate Professor
Biomedical Informatics Department, University at Buffalo, USA
2016 - 2017
Marie Curie Fellow
Computer Science, University of Cyprus, Cyprus
2007 - 2009
Senior Research Scientist
Computer Science, Vrije Universiteit Brussel, Belgium
1999 - 2007
Hamad, N., Khalilia, M., & Jarrar, M. (2025). Konooz: Multi-domain multi-dialect corpus for named entity recognition. In Proceedings of the 2025 Annual Meeting of the Association for Computational Linguistics (ACL 2025), Austria. Association for Computational Linguistics.
Jarrar, M., & Hammouda, T. (2024). Qabas: An open-source Arabic lexicographic database. In Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 13363–13370). Torino, Italy: European Language Resources Association (ELRA) & International Committee on Computational Linguistics (ICCL).
Jarrar, M. (2021). The Arabic Ontology: An Arabic Wordnet with ontologically clean content. Applied Ontology, 16(1), 1–26. IOS Press.
- MIT Technology Review “Leading Arab Experts in AI" (2022), Top 30 Arab experts in AI worldwide
- Abdul Hameed Shoman Arab Researchers Award (2019)
- Mohammed Bin Rashid Award for the Arabic Language (2018)
- Best paper Awards in multiple conferences (ACL 2025, ArabicNLP 2024, ACS/IEEE 2022, LDK 2017, ICBO 2017, ODBASE 2022).

Dr. Fahad Habib Khan
Assistant Professor of Islamic Psychology
Dr. Fahad Habib Khan
Assistant Professor of Islamic Psychology
Educational Qualifications
PsyD in Psychology
M.A. in Clinical Psychology
Entity
College of Islamic Studies
Division
Islamic Psychology
Biography
Dr. Fahad Khan is an academic, researcher, and clinical psychologist specializing in the integration of faith and mental wellness through the field of Islamic psychology. His professional work is dedicated to advancing mental health within Muslim communities. He has served as the deputy director at Khalil Center, the largest provider of Muslim mental health services in the West, where he supervised clinical and research work.
Dr. Khan’s background includes teaching at various academic institutions in the United States. He is a fellow of the International Association of Islamic Psychology (IAIP) and actively contributes to the field by serving on the editorial boards of several peer-reviewed journals. His work has been recognized with multiple awards. He is a recipient of the American Psychological Foundation’s 2025 Division 29 Early Career Award, and the American Psychological Association's (APA) 2021 Early Career Psychologist Champion and 2020 Early Career Achievement Awards. He has served on numerous committees and divisions of the APA, most recently representing the organization at the United Nations in 2024.
PsyD in Psychology
Midwestern University, USA
2015
M.A. in Clinical Psychology
Midwestern University, USA
2011
M.Sc. in Biomedical Sciences
Midwestern University, USA
2009
- Islamic psychology
- Clinical mental health counseling
- Muslim mental health
- Character and virtue development
- Integration of psychology and technology
Assistant Professor
College of Islamic Studies, Hamad Bin Khalifa University
2025 – Present
Adjunct Professor
Department of Psychology, Loyola University Chicago, USA
2022 – Present
Deputy Director
Research & Clinical Practice, Khalil Center, USA
2014 – 2025
Keshavarzi, H., Harfi, S., Elzamzamy, K., Khan, F., & Kaban, E. (2022). The Islamic workbook for religious OCD (Waswasa): A guide for overcoming intrusive thoughts and compulsions. Traditional Islamically Integrated Psychotherapy. Claritas Books
- Division 29 Early Career Award, American Psychological Association (2025)
- Liaison to the United Nations, APA’s Committee for Global Psychology (2024)
- Early Career Psychologist Chamption Award, American Psychological Association (2021)
- Program Chair for APA’s Division 12 (Society of Clinical Psychology) (2021)
- Early Career Achievement Award, American Psychological Association (2020)
Dr. Zhihe Lu
Assistant Professor
Educational Qualifications
PhD in Computer Vision
MSc in Computer Technology
Entity
College of Science and Engineering
Division
Information & Computing Technology
Biography
Dr. Zhihe Lu is an Assistant Professor at the College of Science and Engineering. His research focuses on machine learning and computer vision. He has published 19 technical papers in leading venues, including CVPR, ICCV, ECCV, NeurIPS, ICML, ACM MM, and top journals such as IEEE TIP and PR.
He was a Research Fellow at the National University of Singapore, working with Prof. Xinchao Wang, before joining HBKU. He finished his PhD at the University of Surrey under the supervision of Prof. Tao Xiang and Prof. Yi-Zhe Song. He also completed his master's degree at the Institute of Automation, Chinese Academy of Sciences, supervised by Prof. Ran He and Prof. Zhaoxiang Zhang.
He was also fortunate to work and collaborate with Dr. Xiatian Zhu, Prof. Timothy Hospedales, Dr. Da Li, Dr. Sen He, and Prof. Shuicheng Yan.
PhD in Computer Vision
University of Surrey, United Kingdom
2022
MSc in Computer Technology
Chinese Academy of Sciences, Institute of Automation, China
2019
BA in Automation
Zhengzhou University, China
2014
- Computer vision
- Transfer learning
- Few-shot learning
- Efficient tuning of foundation models
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2025 - Present
Research Fellow
Department of Electrical and Computer Engineering, National University of Singapore, Singapore
2022 - 2024
Lu, Z., Bai, J., Li, X., Xiao, Z., & Wang, X. (2024, July). Beyond sole strength: Customized ensembles for generalized vision-language models. In Proceedings of the International Conference on Machine Learning (pp. 32924-32938). PMLR.
Lu, Z., Li, D., Song, Y. Z., Xiang, T., & Hospedales, T. M. (2023). Uncertainty-aware source-free domain adaptive semantic segmentation. IEEE Transactions on Image Processing, 32, 4664-4676.
Lu, Z., He, S., Li, D., Song, Y. Z., & Xiang, T. (2023). Prediction calibration for generalized few-shot semantic segmentation. IEEE Transactions on Image Processing, 32, 3311-3323.
Lu, Z., He, S., Zhu, X., Zhang, L., Song, Y. Z., & Xiang, T. (2021). Simpler is better: Few-shot semantic segmentation with classifier weight transformer. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 8741-8750).
Lu, Z., Yang, Y., Zhu, X., Liu, C., Song, Y. Z., & Xiang, T. (2020). Stochastic classifiers for unsupervised domain adaptation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9111-9120).
Complete Publication Listing(s): Google Scholar
Dr. Sabri Boughorbel
Lead Scientist
Educational Qualifications
Entity
Qatar Computing Research Institute
Division
Arabic Language Technologies
Biography
Dr. Sabri Boughorbel is a Lead Scientist at Qatar Computing Research Institute (QCRI) at Hamad Bin Khalifa University where he leads the LLM Modeling Team in Arabic Language Technology. Dr. Boughorbel holds a PhD in Machine Learning from the University of Paris Saclay. With over 15 years of experience in machine learning and artificial intelligence, he has made significant contributions to healthcare analytics, language modeling, and computer vision. Before his current role, he served as e-Health Lead at QCRI and held various scientific positions at Sidra Medicine and Philips Research. His expertise spans pretraining large language models, healthcare applications of AI, and the development of machine learning techniques.
- Pretraining and fine-tuning of large multilingual models
- Development of A.I. techniques for large language modeling
- Application of LLMs in healthcare
- Machine learning for clinical data analysis
Lead Scientist
Qatar Computing Research Institute, Hamad Bin Khalifa University
2021 - Present
Staff Scientist
Bioinformatics, Sidra Medicine
2014 - 2021
Senior Scientist
Data Science, Philips Research, Netherlands
2006 - 2014
AlSaad, R., Abd-Alrazaq, A., Boughorbel, S., & others. (2024). Multimodal large language models in health care: Applications, challenges, and future outlook. Journal of Medical Internet Research, 26, e59505.
AlSaad, R., Malluhi, Q., & Boughorbel, S. (2022). PredictPTB: An interpretable preterm birth prediction model using attention-based recurrent neural networks. BMC BioData Mining, 15(1).
Boughorbel, S., et al. (2022). Applications of machine learning for predicting heart failure.
Della Mina, E., Borghesi, A., Zhou, H., Bougarn, S., Boughorbel, S., Israel, L., Meloni, I., Chrabieh, M., Ling, Y., Itan, Y., & Renieri, A. (2017). Inherited human IRAK-1 deficiency selectively impairs TLR signaling in fibroblasts. Proceedings of the National Academy of Sciences, 114(4), E514–E523.
Boughorbel, S., Jarray, F., & El-Anbari, M. (2017). Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric. PLOS ONE, 12(6), e0177678.
Complete Publication Listing(s): Google Scholar
- Best Poster Award "AI-assisted identification of epileptic seizures using EEG signals" Shabir Moosaa, Sabri Boughorbel, Radi Farhad, Ruba Benini, Younes Mokrab 4th Annual Pediatric Neuroscience Conference 2024
- Grant award project "Developing Artificial Intelligence Models for Health Outcome Prediction in Neonatal Intensive Care Units in Qatar" ($598k, 2020)
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