Ms. Banna Alnaimi

Banna Al-Naimi

Senior Administrative Officer

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

Dr. Diana Alsayed Hassan

Assistant Professor

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

Nimir Elbashir

Dr. Nimir Elbashir

Professor

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

Abdelkarim, Y., Musa, T., Challiwala, M., Choudhury, H., El-Halwagi, M., & Elbashir, N. (2025). Retrofitting low carbon aviation fuels processes from natural gas to renewables energy-based systems. Greenhouse Gases: Science and Technology, 0(1), 1–14. 

Ashour, A., Challiwala, M. S., Musa, T., Wilhite, B., & Elbashir, N. (2025). Modeling tri-reforming of methane for carbon dioxide utilization and hydrogen production. Energy. Advance online publication.

Chatla, A., Abu-Rub, F., Prakash, A. V., Ibrahim, G., & Elbashir, N. O. (2022). Highly stable and coke-resistant Zn-modified Ni-Mg-Al hydrotalcite derived catalyst for dry reforming of methane: Synergistic effect of Ni and Zn. Fuel, 308, 122042. 

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

Dr. Hina Khalid

Assistant Professor

Office location

Minaretein - C.03.040

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

Dr. Hanan Qasem

Postdoctoral Researcher

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

Ola Al-anani

Project Analyst

Office location

C.02.059

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

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).

Hammouda, T., Jarrar, M., & Khalilia, M. (2024). SinaTools: Open source toolkit for Arabic natural language understanding. In Proceedings of the 2024 AI in Computational Linguistics (ACLING 2024). Procedia Computer Science. Dubai: Elsevier.

Jarrar, M., Zaraket, F., Hammouda, T., Masood, D., & Waehlisch, M. (2023). Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic dialect corpora with morphological annotations. In Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA) (pp. 1–7). Egypt: IEEE.

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

Dr. Fahad Habib Khan

Assistant Professor of Islamic Psychology

Office location

C.02.033

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

  • 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

Office location

A-161B

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

Dr. Sabri Boughorbel

Lead Scientist

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)