primary
الدكتورة حنان قاسم
باحث مابعد الدكتوراه
المؤهلات العلمية
PhD in Biological and biomedical sciences
MS.c in Biochemistry
الكيان
معهد قطر لبحوث الطب الحيوي
القسم
مركز البحوث التطبيقية للسرطان
السيرة الذاتية
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
علا العناني
محلل مشاريع
المؤهلات العلمية
MS International Graduate Program for Educators
BSc in Civil Engineering
الكيان
كلية الدراسات الإسلامية
القسم
الدراسات الإسلامية
الإدارة
السيرة الذاتية
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
الدكتور مصطفى جرار
بروفسور
المؤهلات العلمية
PhD in Computer Science
M.Sc. in Computer Science
الكيان
كلية العلوم الإنسانية والاجتماعية
السيرة الذاتية
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).

الدكتور فهد حبيب خان
أستاذ مساعد في علم النفس الإسلامي
الدكتور فهد حبيب خان
أستاذ مساعد في علم النفس الإسلامي
المؤهلات العلمية
PsyD in Psychology
M.A. in Clinical Psychology
الكيان
كلية الدراسات الإسلامية
القسم
علم النفس الإسلامي
السيرة الذاتية
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)
الدكتور زيهي لو
أستاذ مساعد
المؤهلات العلمية
PhD in Computer Vision
MSc in Computer Technology
الكيان
كلية العلوم والهندسة
القسم
قسم تكنولوجيا المعلومات والحوسبة
السيرة الذاتية
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
الدكتورة مريم سيف الدين
باحث زميل
المؤهلات العلمية
PhD in Genomics and Precision Medicine
MRes in Molecular and Cellular Biosciences
الكيان
معهد قطر لبحوث الطب الحيوي
القسم
مركز البحوث التطبيقية للسرطان
السيرة الذاتية
Dr. Maryam Saifaldeen is a Research Fellow at the Translational Oncology Research Center at QBRI. With her academic journey supported by the Qatar Research Leadership Program (QRLP), Maryam Saifaldeen earned a BSc in Biological Sciences from the University of Southampton, an MRes in Molecular and Cellular Biosciences from Imperial College of London, and a PhD in Genomics and Precision Medicine from Hamad Bin Khalifa University. This multidisciplinary academic training provided a strong foundation in molecular biology, functional genomics, and biomedical research.
Her doctoral research focused on CRISPR/Cas9-based gene editing, leading to the identification of the E3 ubiquitin ligase beta-TrCP1 as a novel regulator of cellular lipid metabolism. Her PhD work contributed to two first-author publications and one co-authored review article.
Dr. Maryam Saifaldeen’s growing research interests lie in understanding how metabolic rewiring of tumor and immune cells influences therapy response, particularly in triple-negative breast cancer. She is committed to contributing to Qatar’s national cancer research efforts by promoting translational science, interdisciplinary collaboration, and innovation-driven discovery.
PhD in Genomics and Precision Medicine
Hamad Bin Khalifa University
2024
MRes in Molecular and Cellular Biosciences
Imperial College of London, United Kingdom
2018
BSc in Biological Sciences
University of Southampton, United Kingdom
2016
- Immunometabolism in cancer and therapy resistance
- Extracellular vesicle (EV) biology
- CRISPR-Cas9 gene editing
- Immune evasion and modulation in breast cancer
Senior Research Associate
Translational Oncology Research Center, Qatar Biomedical Research Institute
2024 - Present
PhD Researcher
College of Health and Life Sciences, Hamad Bin Khalifa University
2018 - 2024
Visiting Researcher
Mazloum Lab, Weill Cornell Medicine - Qatar
2016 - 2017
Research Trainee
Qatar Research Leadership Program (QRLP), Qatar Foundation
2013 - 2024
- First Place – Best PhD student presentation for “Identification of the Ubiquitin Ligase B-TrCP1 as a regulator of the SREBP pathway”, Awarded in the CHLS annual students research forum, HBKU
- Qatar Research Leadership Program (QRLP) scholarship

الدكتور هومان كشاورزي
مدير البرنامج في علم النفس الإسلامي وأستاذ مساعد
الدكتور هومان كشاورزي
مدير البرنامج في علم النفس الإسلامي وأستاذ مساعد
المؤهلات العلمية
Doctorate of Clinical Psychology (Psy.D)
MA in Clinical Psychology
الكيان
كلية الدراسات الإسلامية
القسم
علم النفس الإسلامي
السيرة الذاتية
Dr. Hooman Keshavarzi is the Program Director and Assistant Professor of Islamic Psychology at the College of Islamic Studies. He is a licensed clinical psychologist and holds a Doctorate and Master's in Clinical Psychology and a Bachelor of Science – specialist psychology track/minor in Islamic Studies. He is also a visiting scholar at Ibn Haldun University (Turkey) and an adjunct faculty member at Hartford Seminary.
Dr. Keshavarzi is the founding director of the Khalil Center, the first Islamically-oriented professional community mental wellness center and the largest provider of Muslim mental healthcare in North America. He is also a senior fellow at the International Association for Islamic Psychology (IAIP), conducting research on topics related to Islam, Muslims, and mental health. Dr. Keshavarzi is an international public speaker and trainer providing education on the intersection of Islamic studies and behavioral health.
Doctorate of Clinical Psychology (Psy.D)
The Chicago School of Professional Psychology, United States
2019
MA in Clinical Psychology
Illinois School of Professional Psychology, Argosy University, United States
2010
BS in Psychology
University of Toronto, Canada
2008
- Islamic psychology
- Clinical mental health practice
- Psychology in the Islamic classical scholarly tradition
- Character development
- Psychology in Islamic law
Assistant Professor
College of Islamic Studies, Hamad Bin Khalifa University
2024 – Present
Assistant Professor
Psychology, Ibn Haldun University, Turkey
2018 – 2024
Executive Director
School of Islamic Psychology & Research, Khalil Center, United States
2010 – Present
Keshavarzi, H., Elzamzamy, K., & Ansari, B. A. (Eds.) (2025). Psychological themes in classical Islamic literature: A primary source reader [with translation and commentary]. Leiden, Netherlands: Brill Publishing.
Complete Publication Listing(s): ResearchGate

الدكتور فلاديمير كاتانايف
المدير التنفيذي بالإنابة والمدير العلمي
البريد الإلكتروني
vkatanaev@hbku.edu.qaالدكتور فلاديمير كاتانايف
المدير التنفيذي بالإنابة والمدير العلمي
المؤهلات العلمية
Dr.Habil in Cell and Developmental Biology
PhD in Biochemistry
الكيان
معهد قطر لبحوث الطب الحيوي
القسم
مركز البحوث التطبيقية للسرطان
السيرة الذاتية
Dr. Vladimir Katanaev is the Acting Executive Director of Qatar Biomedical Research Institute and the Scientific Director of the Translational Oncology Research Center at the Qatar Biomedical Research Institute. He leads efforts to bridge basic, translational, and clinical research, focusing on developing targeted therapies for cancer patients. He is committed to advancing the understanding of fundamental cellular mechanisms, exploring how their dysfunction contributes to disease, and translating this knowledge into innovative therapeutic strategies. Dr. Katanaev has made significant contributions to the field through his research on signal transduction pathways and their implications in cancer and other diseases. His work has been widely recognized and published in leading scientific journals.
Dr.Habil in Cell and Developmental Biology
University of Konstanz, Germany
2010
PhD in Biochemistry
University of Fribourg, Switzerland
2000
Diploma with Honors in Biochemistry
Krasnoyarsk State University ( Siberian Federal University), Russia
1994
- Oncogenic signaling pathways
- Anticancer drug discovery and development
- Precision oncology
- Breast cancer
Scientific Director
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2024 - Present
Full Professor and Chair
Faculty of Medicine, University of Geneva, Switzerland
2018 - 2024
Associate Professor
Pharmacology and Toxicology, University of Lausanne, Switzerland
2011 - 2018
Junior Group Leader
Faculty of Sciences, University of Konstanz, Germany
2005 - 2011
Associate Research Scientist
Genetics and Development, Columbia University, United States
2003 - 2005
Postdoctoral Fellow
Genetics and Development, Columbia University, United States
2000 - 2003
Ham, H., Jing, H., Lamborn, I., Kober, M. M., Koval, A., Berchiche, Y., Anderson, D. E., Druey, K. M., Mandl, J. N., Isidor, B., Ferreira, C. R., Freeman, A. F., Ganesan, S., Karsak, M., Mustillo, P. J., Teo, J., Zolkipli-Cunningham, Z., Chatron, N., Lecoquierre, F., ... Su, H. C. (2024). Germline mutations in a G protein identify signaling cross-talk in T cells. Science, 20, eadd8947.
Complete Publication Listing(s): PubMed
- 2023; 3R Award of the University of Geneva.
- 2021; Academician of the International Eurasian Academy of Sciences (European Center).
- 2019; One Hundred Talent Program, Fuzhou City, China.
- 2019; One Hundred Talent Program, Fujian Province, China.
- 2018; Chair in Translational Oncology, Faculty of Medicine, University of Geneva.
الدكتور جوك جان هوتينجا
عالم أول
المؤهلات العلمية
PhD in Genetic Epidemiology
MSc in Genetic Epidemiology
الكيان
معهد قطر لبحوث الطب الحيوي
القسم
مركز بحوث الاضطرابات العصبية
السيرة الذاتية
Jouke Jan Hottenga is a Senior Scientist at Qatar Biomedical Research Institute specializing in bioinformatics, gene identification, and population genomics. His work focuses on the genetic factors influencing health behaviors, biomarkers, and metabolic and neurological diseases. He has made significant contributions to genetics, with research published in high-impact journals. His expertise includes genome-wide association studies and meta-analyses.
With strong skills in bioinformatics and big data analysis, he processes and interprets complex genetic data using advanced computational techniques. His work supports genetic research by ensuring accurate and reproducible data analysis. His dedication to understanding genetic mechanisms has established him as a key figure in personalized medicine and public health.
PhD in Genetic Epidemiology
Leiden University, Netherlands
2005
MSc in Genetic Epidemiology
Erasmus University Rotterdam, Netherlands
2001
BSc in Biomedical Sciences
Leiden University, Netherlands
1998
- Genetics of Neurological Disorders. Delving deep into the genetic underpinnings of neurological disorders
- with a specialized focus on autism.
- Population Genetics. Exploring the genetic factors that drive human variation across populations
- aiding our understanding of diversity.
- Bioinformatics and Big Data Analysis. Enhancing computation and automation for genetic projects using FAIR principles
- to ensure data is Findable
- Accessible
- Interoperable
- and Reusable.
- Precision and Translational Medicine. Championing the synergy between precision medicine and translational medicine
- because one cannot exist without the other.
Senior Scientist
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2025 - Present
Senior Researcher
Biological Psychology, Vrije Universiteit Amsterdam, Netherlands
2003 - 2024
Beck, J. J., Slunecka, J. L., ... Hottenga, J. J. (2024). Breast cancer polygenic risk score validation and effects of variable imputation. Cancers (Basel). PMID: 38672660.
Karjalainen, M. K., ... Hottenga, J. J., et al. (2024). Genome-wide characterization of circulating metabolic biomarkers. Nature. PMID: 38448586.
Grove, J., ... Hottenga, J. J., et al. (2019). Identification of common genetic risk variants for autism spectrum disorder. Nature Genetics. PMID: 30804558.
van Leeuwen, E. M., Kanterakis, A., ... Hottenga, J. J. (2015). Population-specific genotype imputations using Minimac or Impute2. Nature Protocols. PMID: 26226460.
Hottenga, J. J., et al. (2007). Genome-wide scan for blood pressure in Australian and Dutch subjects suggests linkage at 5P, 14Q, and 17P. Hypertension. PMID: 17325240.
Complete Publication Listing(s): Google Scholar
- 2024 - Research.com Medicine in Netherlands Leader Award
- 2024 - Research.com Genetics in Netherlands Leader Award
- 2023 - Research.com Medicine in Netherlands Leader Award
- 2023 - Research.com Genetics in Netherlands Leader Award
الدكتور حسن قربان
أستاذ مساعد
المؤهلات العلمية
PhD in Computer Science
الكيان
كلية العلوم والهندسة
السيرة الذاتية
Dr. Hasan Kurban is an Assistant Professor at the College of Science and Engineering. He is also an Adjunct Associate Professor of Computer Science and Data Science at Indiana University, Bloomington, USA, and an Editor for Nature Scientific Reports.
Dr. Kurban earned his Ph.D. in Computer Science with a minor in Statistics from Indiana University, Bloomington, USA, in 2017. His research spans artificial intelligence, deep learning, software engineering, graph theory, and large-scale data analytics, with applications in diverse fields, including computational materials science, biology, sports analytics, education, public transportation, finance, and medicine.
PhD in Computer Science
Indiana University, Bloomington, United States
2017
- Artificial Intelligence
- Software Engineering
- Data Science
- Big Data
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Adjunct Assistant Professor
Electrical and Computer Engineering, Texas A&M University at Qatar
2024 - Present
Adjunct Associate Professor
Computer Science and Data Science, Indiana University, Bloomington, United States
2023 - Present
Assistant Professor
Electrical and Computer Engineering, Texas A&M University at Qatar
2023 - 2024
Visiting Associate Professor
Computer Science and Data Science, Indiana University, Bloomington, United States
2021- 2023
- 2024; Transformative Educational Experience Grant by Texas A&M University at Qatar.
- 2024; Multiversity Academic Grant, by Texas A&M University at Qatar.
- 2017; Nomination for Researcher of the Year, Indiana University of Bloomington.
- 2017; Best Poster Award: IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Austin, TX.
- 2016; Best Paper Award: IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada.
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