primary

د. حنان قاسم

الدكتورة حنان قاسم

باحث مابعد الدكتوراه

البريد الإلكتروني

hqasem@hbku.edu.qa

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

علا العناني

محلل مشاريع

البريد الإلكتروني

oalanani@hbku.edu.qa

موقع المكتب

C.02.059

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

البريد الإلكتروني

mjarrar@hbku.edu.qa

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).

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).

الدكتور فهد حبيب خان

أستاذ مساعد في علم النفس الإسلامي

البريد الإلكتروني

fakhan@hbku.edu.qa

موقع المكتب

C.02.033

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

  • 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

البريد الإلكتروني

zlu@hbku.edu.qa

موقع المكتب

A-161B

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

Dr. Maryam Saifaldeen

الدكتورة مريم سيف الدين

باحث زميل

البريد الإلكتروني

masaifaldeen@hbku.edu.qa

موقع المكتب

B2-1415

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
Dr. Hooman Keshavarzi

الدكتور هومان كشاورزي

مدير البرنامج في علم النفس الإسلامي وأستاذ مساعد

البريد الإلكتروني

hkeshavarzi@hbku.edu.qa

موقع المكتب

C.02.035

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

الدكتور فلاديمير كاتانايف

الدكتور فلاديمير كاتانايف

المدير التنفيذي بالإنابة والمدير العلمي

البريد الإلكتروني

vkatanaev@hbku.edu.qa

الدكتور 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

  • 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

الدكتور جوك جان هوتينجا

عالم أول

البريد الإلكتروني

jhottenga@hbku.edu.qa

موقع المكتب

RC-B2-1480

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

الدكتور حسن قربان

أستاذ مساعد

البريد الإلكتروني

hkurban@hbku.edu.qa

موقع المكتب

246S

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.