Dr. Ilias Bantekas
Professor
Educational Qualifications
Diploma in Theology
PhD in International Law
Entity
College of Law
Biography
Dr. Bantekas is a Professor of Transnational Law (with an emphasis on sports law, contracts, arbitration and international law) at HBKU and Adjunct Professor of Law at Georgetown University and Senior Fellow at the Institute of Advanced Legal Studies of the University of London. He has advised international organizations, including UN, CoE, IDEA, OIC, UNDP and is regularly appointed as arbitrator in international commercial disputes. He was appointed to the list of arbitrators of the Court of Arbitration for Sport (CAS) in 2023 and advises private entities and national federations on various regulatory and contractual aspects of sports law. He has authored more than 200 peer reviewed articles, including in the American Journal of Int’L; British YB Int’l L; ICLQ; European J Int’l L; Human Rts Quarterly; J Int’l Dispute Settlement; Arbitration Int’l; American Rev Int’l Arbitration; Berkeley J Int’l L; Pennsylvania J Constitutional Law and others. He is the author of 20 books, 13 of which have been published by Oxford and Cambridge University Press.
Diploma in Theology
University of Cambridge
2005
PhD in International Law
University of Liverpool
1999
LLM in International & European Law
University of Liverpool
1996
Degree in Law
University of Athens
1994
- Sports law
- Comparative contract law
- International arbitration
- International human rights law
Full Professor
College of Law, Hamad Bin Khalifa University
2018-present
Full Professor
Faculty of Law, Brunel University London
2006‑2018
Senior Fellow
Institute of Advanced Legal Studies, University of London
2009‑present
Fellow
School of Law, Harvard University
2003‑2004
Associate Professor
School of Law, University of Westminster
1998-2006
International Human Rights Law and Practice, Cambridge University Press, 4th ed, 2024, with L Oette.
Contract Law of Qatar, Cambridge University Press, 2023, with A Al-Ahmed.
Professional Tennis and International Law, Cambridge University Press, 2024, with M Begovic (eds).
- 2002; Paul Reuter Prize

Hilary Christina Bell
Assistant Professor and Assistant Dean for Student Affairs
Hilary Christina Bell
Assistant Professor and Assistant Dean for Student Affairs
Educational Qualifications
Masters of Laws
Diploma in Legal Practice
Entity
College of Law
Biography
Hilary Bell teaches construction and infrastructure development law, dispute resolution and legal skills courses. Hilary is an innovative academic leader, she is the JD Degree Coordinator, a member of the Curriculum Committee, and chairing the College's Admissions Committee. As a professor, Hilary complements academic perspectives with that of an experienced practitioner. She has 11 years of professional dispute resolution experience and has practiced in the UK and Qatar.
In addition to teaching, Hilary coaches teams competing in international moot court competitions, including the Vis International Commercial Arbitration Moot. Before joining HBKU Law, she was a construction disputes lawyer in Qatar. Before moving to Qatar, she practiced as a litigator in the UK. Hilary is a Solicitor and Notary Public; a Fellow of the Chartered Institute of Arbitration; a Member of the International Coach Federation; and a Master Practitioner of Neuro-Linguistic Programming.
Hilary's scholarship focuses on the application of educational pedagogy to teaching critical areas of law including climate law, dispute resolution, and therapeutic jurisprudence. She regularly trains and coaches practicing lawyers to improve their performance, and has trained the trainers of the Nigerian Institute of Chartered Arbitrators on how to design arbitration training courses.
Masters of Laws
Robert Gordon University
2015
Diploma in Legal Practice
Robert Gordon University
2007
Bachelor of Laws
University of Glasgow
2000
- Infrastructure development law
- Climate law
- Legal education
- Representation of Women in Media
Assistant Professor and JD Coordinator
College of Law, Hamad Bin Khalifa University
2017 - Present
Associate
Contentious Construction, Dentons legal practice
2016 - 2017
Clinical Instructor
College of Law, Qatar University
2012 - 2015
Solicitor
Union Litigation, Digby Brown LLP
2007 - 2012
Female Lawyers in Egyptian and Lebanese Films Over the Last 75 Years, in the International Journal of the Legal Profession (April, 2023)
Minimizing Construction Disputes in Africa by Managing Region-specific Risk in Mining and Energy Infrastructure Projects (Nalule ed, Palgrave MacMillan 2023)
Managing Construction Risk in the Natural Gas Industry in EPC Contracts- Implications of the Energy Transition in: Palgrave Handbook of Natural Gas and Global Energy Transitions (Olawuyi ed, Palgrave MacMillan 2022)
Tackling the Legally Disruptive Problem of Climate Change with Disruptive Legal Education in: Climate Change Law and Policy in the Middle East and North Africa Region (Olawuyi ed, Routledge 2021)
- 2023; Achievement in Global Legal Education; Global Legal Skills Conference

Dr. Yazan Boshmaf
Scientist
Dr. Yazan Boshmaf
Scientist
Educational Qualifications
PhD in Electrical and Computer Engineering
MSc Information Technology
Entity
Qatar Computing Research Institute
Division
Cybersecurity
Biography
Dr. Boshmaf received his PhD in Electrical and Computer Engineering from the University of British Columbia under the mentorship of Prof. Konstantin Beznosov and Prof. Matei Ripeanu. His PhD thesis presented one of the first security analyses of malicious social bots on the web.
PhD in Electrical and Computer Engineering
University of British Columbia; Vancouver, Canada
2015
MSc Information Technology
University of Stuttgart, Germany
2008
BSc Computer Engineering
Jordan University of Science and Technology, Irbid, Jordan
2005
Full Stack Software Engineer
Hootsuite; Vancouver, BC Canada
2015
Research Intern
Microsoft Research Silicon Valley; Mountain View, CA USA
2014
Research Intern
Telefonica Research; Barcelona, Spain
2013
Research Intern
Facebook Menlo Park, CA USA
2012
Research Intern
Sophos Vancouver, BC Canada
2012
Research Intern
High Performance Computing Center (HLRS); Stuttgart, Germany
2008
Software Engineer
Intel Walldorf, Germany
2007
Infrastructure Consultant
Microsoft Consulting Services; Muscat, Oman
2005
Source Attribution of Cryptographic API Misuse in Android Applications; Proc. of 11th ACM Asia Conference on Computer and Communications Security (AsiaCCS '18); Songdo, Incheon Korea; Jun 2018
Interacting with Large Distributed Datasets using Sketch; Proc. of 2016 Eurographics Symposium on Parallel Graphics and Visualization (EGPGV '16); Groningen, The Netherlands; Jun 2016
Leveraging Victim Prediction for Robust Fake Account Detection in OSNs; Proc. of 2015 Network and Distributed System Security Symposium (NDSS '15); San Diego, CA USA; Feb 2015
The Socialbot Network: When Bots Socialize for Fame and Money; Proc. of 27th Annual Computer Security Applications Conference (ACSAC '11), Orlando, FL USA; Dec 2011
SIMD-Scan: Ultra Fast in-Memory Table Scan Using on-Chip Vector Processing Units; Proc. of the VLDB Endowment; Volume 2, Issue 1; Pages 385-394; Aug 2009
- 2013; Best Paper Award; Advances in Social Networks Analysis and Mining Conference; Niagara Falls, ON Canada
- 2012; Research Internship Award; MITACS Accelerate; Vancouver, BC Canada
- 2011; Outstanding Paper Award; Annual Computer Security Applications Conference; Orlando, FL USA
- 2009; Four Year Doctoral Fellowship; University of British Columbia; Vancouver, BC Canada
- 2009; Faculty of Applied Science Award; University of British Columbia; Vancouver, BC Canada
- 2006; Full Tuition Scholarship for Outstanding Students; University of Stuttgart; Stuttgart, Germany
- 2001; Royal Academic Sponsorship; Jordan University of Science and Technology; Irbid, Jordan

Dr. Firoj Alam
Senior Scientist
Dr. Firoj Alam
Senior Scientist
Educational Qualifications
PhD in Computer Science
MSc in Human Language Technology and Interface
Entity
Qatar Computing Research Institute
Division
Social Computing
Biography
Dr. Firoj Alam is a Senior Scientist at the Qatar Computing Research Institute. He earned his PhD from the University of Trento, Italy, and has over a decade of experience in Artificial Intelligence, Deep/Machine Learning, Natural Language Processing, Social Media Content Analysis, Image Processing, and Conversational Analysis. He has published over 100 research papers (including 6 book chapters and 11 journal articles) in international journals, conferences, and notable workshops.
Dr. Alam has served as the lead principal investigator for several funded projects. His current research focuses on large language models (benchmarking, native and cultural alignment), generative AI content detection, disinformation detection, fact-checking, and multimodal propaganda detection. He has also been actively contributing to building a community of researchers in these areas by organizing workshops and shared tasks. Some notable shared tasks include the CheckThat! lab at CLEF, NLP4IF 2021, and several SemEval tasks.
He has significantly contributed to developing AI-based tools and resources to support humanitarian organizations during disaster events and aid the UN-OCHA in streamlining their Education Insecurity efforts. Dr. Alam has served as a program committee member for several top-tier conferences, including ACL, NAACL, EMNLP, ICLR, Interspeech, ICASSP, AAAI, IJCAI, and ICWSM. Additionally, he has reviewed numerous journals, including Computer Speech and Language (CSL), ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), and PLOS ONE.
PhD in Computer Science
University of Trento, Italy
2016
MSc in Human Language Technology and Interface
University of Trento, Italy
2011
BSc in Computer Science & Engineering
BRAC University, Bangladesh
2007
- Generative AI
- Large language models (LLMs): Benchmarking
- native
- local
- and cultural alignment
- Machine Learning (Deep Learning)
- Natural Language Processing
- Speech Processing
- Affective behavioral signal processing (Empathy
- Emotions
- Personality traits) from speech and text
- Social media analysis
Senior Scientist
Qatar Computing Research Institute, Hamad Bin Khalifa University
2024 - Present
Scientist
Qatar Computing Research Institute, Hamad Bin Khalifa University
2019 - 2024
Post-doctoral Researcher
Qatar Computing Research Institute, Hamad Bin Khalifa University
2017 - 2019
Research Associate
Qatar Computing Research Institute, Hamad Bin Khalifa University
2016 - 2017
PhD Researcher
SIS Lab, University of Trento, Italy
2011- 2016
Research Intern
Fondazione Bruno Kessler (FBK), Italy
2011
Research Programmer
Computer Science and Engineering, BRAC University, Bangladesh
2006 - 2010
- Full scholarship for PhD, University of Trento, Italy.
- Full scholarship for MSc, University of Trento, Italy.
- Grant from ISCA to attend SLTU2010 Conference, 2010.
- Grant from ADD to attend ADD4 Summer School, 2009.
- Grant from PAN Localization to attend CLT’09 Conference, 2009.
- Grant from ADD to attend ADD3 Summer School, 2008.
- Full scholarship for the Summer School organized by PAN Localization, 2006.

Dr. Michaël Aupetit
Senior Scientist
Dr. Michaël Aupetit
Senior Scientist
Educational Qualifications
Accreditation for Research Supervision (HDR) in Computer Science
PhD in Industrial Engineering
Entity
Qatar Computing Research Institute
Division
Qatar Center for Artificial Intelligence
Biography
Dr. Michaël Aupetit joined QCRI in August 2014. He is a Senior Scientist at the Qatar Center for Artificial Intelligence (QCAI), working on AI foundation models design and analysis, and applying his research to health and material sciences.
Before joining QCRI, Michaël worked for 10 years as a research scientist and senior expert in data mining and visual analytics at CEA LIST in Paris Saclay, where he designed decision support systems to solve complex industrial problems in health and security domains.
Michaël initiated and co-organized 5 international workshops. He has been a PC member of IEEE VAST, EuroVis, EuroVA, PacificVis, ESANN, and ICANN conferences, and is a regular reviewer for IEEE TVCG, and the Computer Graphics Forum journal. He has published over 100 scientific papers and holds 6 US, 3 WO, and 1 EP patents. He obtained the Habilitation for Research Supervision (HDR) in Computer Science from Paris 11 Orsay University in 2012, and the PhD degree in Industrial Engineering from Grenoble National Polytechnic Institute (INPG) in 2001.
Accreditation for Research Supervision (HDR) in Computer Science
Paris 11 Orsay University; Orsay/France
2012
PhD in Industrial Engineering
Grenoble National Polytechnic Institute (INPG); Grenoble/France
2001
MSc in Robotics and Microelectronics
Montpelier University, Montpellier, France
1998
Engineering in Computer Science specialized in Artificial Intelligence
Ecole pour les Etudes et la Recherche en Informatique et Electronique (EERIE); Nîmes/France
1998
- Statistical and generative machine learning
- Representation learning
- Visual analytics
- Topological data analysis
Senior Scientist
Qatar Computing Research Institute; Hamad Bin Khalifa University
2019 - Present
Scientist
Qatar Computing Research Institute; Hamad Bin Khalifa University
2014 - 2018
Senior Expert Scientist
Laboratory for Integration of Systems and Technology; CEA Tech
2008 - 2014
Research Scientist
Department of Earth and Environmental Science; CEA DAM
2004 - 2008
Postdoc
Department of Earth and Environmental Science; CEA DAM
2002 - 2004
Complete Publication Listing(s): The dblp computer science bibliography
- 2007; Award for the Best presentation at CAp 2007 French conf. on Mach.Learning; SPSS; France
- 1998; Best M.Sc internship; CEA; Nîmes/France

Yifan Zhang
Senior Software Engineer
Yifan Zhang
Senior Software Engineer
Educational Qualifications
M.S. in Science (with Distinction)
B.Sc. in Engineering
Entity
Qatar Computing Research Institute
Division
Qatar Center for Artificial Intelligence
Biography
Yifan Zhang has 20+ years of experience in research and development in speech and language-related products. Before joining QCRI, he built an information discovery engine for news discovery for Wavii (Google), developed a speech recognition engine serving millions of customers for Nuance and Autonomy. In QCRI, as part of the QCAI team, he works on Fanar, QCRI’s Generative AI project on text, speech, and image.
M.S. in Science (with Distinction)
Cardiff University, UK
2004
B.Sc. in Engineering
Xi’an Jiaotong University, China
2001
- Generative AI - text, speech, image
- Speech recognition
- Text mining
- Software engineering
Senior Software Engineer
Qatar Center for Artificial Intelligence, Qatar Computing Research Institute, HBKU
2013 - Present
Senior Software Engineer
Wavii (Google), US
2012 - 2013
Senior Research Engineer
SpinVox (Nuance), UK
2008 - 2012
R&D Engineer
Autonomy, UK
2005 - 2008
Lead Developer
Tianchuang Software, China
2001 - 2002
Da San Martino, G., Shaar, S., Zhang, Y., Yu, S., Barrón-Cedeño, A., & Nakov, P. (2020). PRTA: A system to support the analysis of propaganda techniques in the news. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (pp. 287–293). Online.
Zhang, Y., Da San Martino, G., Barrón-Cedeño, A., Romeo, S., An, J., Kwak, H., Staykovski, T., Jaradat, I., Karadzhov, G., Baly, R., Darwish, K., & Glass, P. N. (2019). Tanbih: Get to know what you are reading. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (pp. 223–228). Hong Kong, China.
Ali, A., Bell, P., Gales, M., Kotti, M., Kuo, H.-K. J., Liu, X., Messaoudi, A., Nadejde, M., Renals, S., Taha, Y., & Trmal, J. (2016). The MGB-2 Challenge: Arabic multi-dialect broadcast media recognition. In Proceedings of the IEEE Spoken Language Technology Workshop (SLT 2016). California, USA.
Ali, A., Hamza, W., Lee, J., & Vogel, S. (2015). QATS – The QCRI advanced transcription and translation system. In Proceedings of INTERSPEECH 2015. Dresden, Germany.
Ali, A., Bell, P., & Renals, S. (2014). A complete Kaldi recipe for building Arabic speech recognition systems. In Proceedings of the IEEE Spoken Language Technology Workshop (SLT 2014). Nevada, USA.
- Best Demo (Honorable Mention), ACL 2020
- BBC NewsHack ‘Best Audience Award’ Winner, UK, 2018
- BBC NewsHack ‘Best in Show’ Winner, UK, 2014,
- Lion Laboratories Prize for Best Project, UK, 2001

Dr. Ehsan Ullah
Post-Doctoral Researcher
Phone
+974 44545737Office location
Office Number A102, 1st Floor, Research and Development Complex
Dr. Ehsan Ullah
Post-Doctoral Researcher
Educational Qualifications
Ph.D. Computer Science
M.Sc
Entity
Qatar Computing Research Institute
Division
Qatar Center for Artificial Intelligence
Biography
Dr. Ehsan Ullah is a post-doctoral researcher at Qatar Computing Research Institute, Hamad Bin Khalifa University. Dr. Ullah received his Ph.D. degree in 2014 from Tufts University, Medford, Massachusetts. He received his M.Sc. and B.Sc. from University of Engineering and Technology, Lahore. Ehsan Ullah is interested in health informatics, computational biology, genomics and algorithms.
Ph.D. Computer Science
Tufts University Medford, USA
2014
M.Sc
Electrical Engineering University of Engineering and Technology Lahore, Pakistan
2007
B.Sc.
Electrical Engineering University of Engineering and Technology Lahore, Pakistan
2002
- Health informatics
- Computational biology
- Genomics and algorithms.
Research / Teaching Assistant
Tufts University, Medford, USA.
2008-2014
Lecturer
Department of Electrical Engineering, University of Engineering and Technology Pakistan.
2004-2008
Research Assistant/Associate
Al-Khwarizmi Institute of Computer Science, Lahore Pakistan
2003-2008
Selection Finder (SelFi): A computational metabolic engineering tool to enable directed evolution of enzymes; Metabolic Engineering Communications 4, 37-47
A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project; Pacific Visualization Symposium (PacificVis), 2016 IEEE, 254-258
An algorithm for computing elementary flux modes using graph traversal; IEEE/ACM Transactions on Computational Biology and Bioinformatics
An uncertainty-aware algorithm for identifying predictable profitable pathways in biochemical networks; IEEE/ACM transactions on computational biology and bioinformatics
Discovery of substrate cycles in large scale metabolic networks using hierarchical modularity; BMC systems biology 9 (1)
Integrative 1H-NMR-based metabolomic profiling to identify type-2 diabetes biomarkers: An application to a population of Qatar; Metabolomics 5 (1),
Dr. Essam M. Abdelalim
Associate Professor
Educational Qualifications
PhD in Medical Science
MVSc (Master’s degree in Vet. Science)
Entity
College of Health and Life Sciences
Biography
Dr. Abdelalim is an Associate Professor at the College of Health and Life Sciences, Hamad Bin Khalifa University, and a Principal Investigator at Sidra Medicine, leading the Pluripotent Stem Cell Disease Modeling Laboratory. He holds a PhD in medical science from Shiga University of Medical Science, Japan, where he also completed a postdoctoral fellowship and served as an assistant professor.
Before joining Sidra Medicine, he served as a senior scientist at QBRI until February 2024, establishing Qatar's first pluripotent stem cell program dedicated to diabetes research. His team successfully generated multiple iPSC lines from patients with genetic disorders and developed innovative protocols to improve the differentiation of stem cells into pancreatic islets and other cell types.
In addition, Dr. Abdelalim chaired the HSCI-QBRI steering committee, overseeing collaborative diabetes and stem cell research initiatives. He serves on the editorial boards of “Stem Cells Translational Medicine” and “Stem Cells and Development” and has published over 75 articles in prestigious journals. He has received numerous research grants and awards throughout his career.
PhD in Medical Science
Shiga University of Medical Science, Japan
2009
MVSc (Master’s degree in Vet. Science)
Suez Canal University, Egypt
2002
BVM (Bachelor of Veterinary Medicine)
Suez Canal University, Egypt
1998
- Leveraging human pluripotent stem cells to model diabetes and rare genetic disorders
- to identify potential therapeutic targets.
- Generation of patient-derived iPSCs and application of gene-editing techniques to investigate the impact of specific gene functions and genetic mutations on disease mechanisms.
- Enhancement of differentiation protocols for stem cells to produce functional pancreatic beta cells for potential therapeutic use.
Principal Investigator-Associate Level
Translational Medicine, Sidra Medicine
2024 - Present
Joint Associate Professor
College of Health and Life Sciences, Hamad Bin Khalifa University
2023 - Present
Senior Scientist
Diabetes Research Center, Hamad Bin Khalifa University
2023 - 2024
Joint Assistant Professor
College of Health and Life Sciences, Hamad Bin Khalifa University
2018 - 2023
Joint Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2015 - 2018
Complete Publication Listing(s): PubMed
- 2022: 1st Place, QBRI-Affiliated Publications Award for Outstanding Corresponding Author for the years 2017-2022.
- 2022: QBRI Award for Excellence in Mentoring Graduate Students.
- 2021: QNL Open Initiative Award, for promoting student mentorship, biomedical science education, and open-access research in Qatar.
- 2021: QBRI Publication Award for outstanding contributions from 2018 to 2021.
- 2019: International Society for Stem Cell Research (ISSCR) Merit Award for our research, presented by my PhD student, Bushra Memon, at the ISSCR 2019 conference in Los Angeles.
Mohamed Eldaw
Research Associate
Entity
Qatar Biomedical Research Institute
Division
Diabetes Research Center
Biography
Mr. Mohamed Eldaw Graduated from Sudan University of Science and Technology with a Bachelor's degree in Medical Laboratory Science (Microbiology) in 2006 and a Higher Diploma from Institute of Endemic Diseases-University of Khartoum in 2007. He served in various positions beginning with the Military Hospital in Sudan until he joined Shafallah Medical Genetic Center in 2010, where he worked until 2014 as a Research Assistant in Molecular Genetic Department. During this period he was involved in many projects including (Gene identification in Mendelian forms of Familial Epilepsy) and (Autosomal Recessive diseases) and the internal CAP accredited Diagnostic Laboratory. In 2014, he joined QBRI as a Research Associate in the protein laboratory.
Currently, Eldaw works with Dr. Kolatkar and is involved as a team member in various studies including mechanistic analysis of transcription factor networks involved in pluripotency and β islet cell development using a variety of methods. This includes Protein expression & purification, Bioreactor, CD, ITC, MALS, as well as X-ray crystallography. He has also helped with the techniques in biochemistry and molecular and cell biology course by assisting faculty with supervising students.
Dr. Sanjay Chawla
Chief Scientist
Entity
Qatar Computing Research Institute
College of Science and Engineering
Division
Qatar Center for Artificial Intelligence
Engineering Management & Decision Sciences
Biography
"QCRI provides an ideal environment to conduct high-impact research which can transcend disciplinary boundaries."
On Integrated Clustering and Outlier Detection. NIPS
Sleep Analytics and the Online Selective Anomaly Detection. SIGKDD
On Sparse Feature Attack in Adversarial Learning. IEEE ICDM
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. ICML
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