Dr. Yazan Boshmaf

Dr. Yazan Boshmaf

Scientist

Office location

HBKU Research Complex B1, Room 1146

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

Dr. Firoj Alam

Senior Scientist

Phone

445 41582

Office location

HBKU Research Complex, 1st Floor

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

Dr. Michaël Aupetit

Senior Scientist

Office location

A155, 1st floor, RC B1

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

  • 2007; Award for the Best presentation at CAp 2007 French conf. on Mach.Learning; SPSS; France
  • 1998; Best M.Sc internship; CEA; Nîmes/France 
Dr. Essam Abdelalim

Dr. Essam M. Abdelalim

Associate Professor

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

  • 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.
Ahmad Sami Abushaikha

Dr. Ahmad Sami A S Abushaikha

Associate Professor

Dr. Ahmad Sami A S Abushaikha

Associate Professor

Educational Qualifications

PhD in Petroleum Engineering

MS in Reservoir geosciences and engineering

Entity

College of Science and Engineering

Division

Sustainable Development

Biography

Dr. Ahmad Sami Abushaikha is a founding faculty member. He received his BS in Petroleum Engineering and his BA in Economics from the University of Texas at Austin in 2004. In 2006, he received his MS in Reservoir Geosciences and Engineering from "Institut Français du Pétrole". From 2007 to 2009, he worked at TOTAL Research Centre at Pau, France and at Qatar Petroleum. In 2013, he received his PhD in Petroleum Engineering from Imperial College London. From 2015 to 2017, he was a Postdoctoral Research Fellow at Stanford University specializing in discretization schemes for fluid flow in porous media.

PhD in Petroleum Engineering

Imperial College London, London, United Kingdom

2014

MS in Reservoir geosciences and engineering

École Nationale Supérieure du Pétrole et des Moteurs, Rueil-Malmaison, France

2006

BA in Economics

University of Texas at Austin, Texas, United States

2004

BS in Petroleum Engineering

University of Texas at Austin, Texas, United States

2004

  • Computational physics
  • Reservoir simulation
  • Petroleum engineering
  • Sustainability

Postdoctoral Research Fellow

Stanford University, Palo Alto, United States

2015 – 2017

QRLP- Science Track Felllow

Qatar Foundation - Research and Development, Doha, Qatar

2009 – 2015

Reservoir Engineer

North Field, Qatar Petroleum, Doha, Qatar

2004 – 2009

Ahmad S. Abushaikha, Denis V. Voskov, Hamdi A. Tchelepi, SPE Reservoir Simulation Conference; 2017, DOI:10.2118/182697-MS

A.S. Abushaikha, D.V. Voskov, H.A. Tchelepi, ECMOR XV - 15th European Conference on the Mathematics of Oil Recovery; 2016, DOI:10.3997/2214-4609.201601785

Ahmad S. Abushaikha, Martin J. Blunt, Olivier R. Gosselin, Christopher C. Pain, Matthew D. Jackson, Journal of Computational Physics; 2015; 298., DOI:10.1016/j.jcp.2015.05.024

Ahmad S. Abushaikha, Olivier R. Gosselin, Europec/EAGE Conference and Exhibition; 2008, DOI:10.2118/113890-MS

Dr. Julie Decock

Dr. Julie Decock

Senior Scientist

Joint Associate Professor

Dr. Julie Decock

Senior Scientist

Joint Associate Professor

Educational Qualifications

PhD

MSc in Biomedical Sciences

Entity

Qatar Biomedical Research Institute

College of Health and Life Sciences

Division

Translational Oncology Research Center

Biography

Dr. Julie Decock received her Master of Science (MSc) in Biomedical Sciences from the Free University of Brussels (VUB, Belgium) and completed her Doctor of Philosophy (PhD) in Medical Sciences at the Catholic University of Leuven, KU Leuven, Belgium. Her doctoral research focused on the cancer degradome, the repertoire of proteases in the tumor microenvironment that contribute to shaping the extracellular environment and modulating pericellular signaling, thereby affecting tumor progression and clinical outcome.

She joined QBRI in 2013 and established a research program in the areas of tumor antigen discovery and tumor immunity, two key research areas that can help accelerate breast cancer research and advance the development of new treatments. Currently, her research focuses on cancer testis antigens, a group of tumor associated antigens that play pivotal roles in tumorigenesis and progression, and display high tumor specificity with minimal on- and off-target side effects. Her efforts have demonstrated that cancer testis antigens not only play important roles in multiple cancer hallmarks but can also serve as tumor specific molecular targets and modulators of anti-tumor immunity, offering diverse opportunities for anti-cancer targeting.

 

 

PhD

Faculty of Medicine, Catholic University of Leuven (KULeuven), Belgium

2008

MSc in Biomedical Sciences

Free University of Brussels (VUB), Belgium

2002

  • Tumor-derived and circulating immune-related biomarkers in breast cancer
  • The role of cancer testis antigens within the tumor-immune ecosystem
  • Therapeutic potential of targeting cancer testis antigens for precision medicine in breast cancer
  • Genetic determinants of non-BRCA high-risk familial breast cancer

Scientist, Translational Oncology Research Center

Qatar Biomedical Research Institute (QBRI), Qatar.

2016 - present

Joint Assistant Professor

College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar.

2016 - present

Postdoctoral Researcher

Translational Oncology Research Center, Qatar Biomedical Research Institute (QBRI), Qatar.

2013 - 2016

Postdoctoral Researcher

School of Biological Sciences, Faculty of Science, University of East Anglia (UEA), UK.

2008 - 2013

Al-Siddiqi HH, Butler AE, Decock J, Mohamed-Ali V, Al-Ejeh F. Prognostic tools and candidate drugs based on plasma proteomics of patients with severe COVID-19 complications. Nat Commun. 2022;13(1):946. https://doi.org/10.1038/s41467-022-28639-4.

Targeting of lactate dehydrogenase C dysregulates the cell cycle and sensitizes breast cancer cells to DNA damage response targeted therapy. Mol Oncol. 2022 Feb;16(4):885-903. doi: 10.1002/1878-0261.13024.

Cancer testis antigen PRAME: An anti-cancer target with immunomodulatory potential. J Cell Mol Med. 2021;25(22):10376-103888. doi: 10.1111/jcmm.16967.

Immune checkpoint inhibitors in triple negative breast cancer treatment: promising future prospects. Front Oncol. 2021;10:600573. doi:10.3389/fonc.2020.600573.

Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab and European ancestry. NPJ Breast Cancer. 2021 Feb 8;7(1):10. doi: 10.1038/s41523-021-00215-x.

Immune checkpoints in the tumor microenvironment. Semin Cancer Biol. 2020;65:1-12. doi: 10.1016/j.semcancer.2019.06.021.

Lactate Metabolism and Immune Modulation in Breast Cancer: A Focused Review on Triple Negative Breast Tumors. Front. Oncol., doi:10.3389/fonc.2020.598626.

Identification of two HLA-A*0201 immunogenic epitopes of lactate dehydrogenase C (LDHC): potential novel targets for cancer immunotherapy. Cancer Immunol Immunother. 2020 Jan 13. doi: 10.1007/s00262-020-02480-4.

The obesity paradox in cancer, tumor immunology and immunotherapy: Focus on triple negative breast cancer. Front. Immunol. 10:1940. doi: 10.3389/fimmu.2019.01940. Review.

Cancer Testis Antigens and Immunotherapy: Where Do We Stand in the Targeting of PRAME? Cancers (Basel). 2019 Jul 15; 11(7). Review.

PRAME promotes epithelial-to-mesenchymal transition in triple negative breast cancer. J Transl Med. 17(1):9. doi: 10.1186/s12967-018-1757-3.

NY-ESO-1 based immunotherapy of cancer: current perspectives. Front. Immunol. 9:947. doi: 10.3389/fimmu.2018.00947. Review.

Complete list of publications https://www.ncbi.nlm.nih.gov/myncbi/julie.decock.1/bibliography/public/

  • Elected as full member of the Royal Society of Biology, UK (2022)
  • Open Initiative Award 2020, Qatar National Library, Qatar
  • Recognition for excellence 2016, Cancer Biology and Therapeutics Program (HMS-CBT), Harvard Medical School, USA
  • Open Initiative Award 2020, Qatar National Library, Qatar
  • Recognition for excellence 2016, Cancer Biology and Therapeutics Program (HMS-CBT), Harvard Medical School, USA.
  • HBKU Thematic Research Grant Program, “Validation of LDHC as a novel target for precision medicine in breast cancer”. Lead PI, 2021-2023.
  • QBRI Internal Grant Program (IGP), “Exploration of novel therapeutic opportunities targeting LDHC in triple negative breast cancer”. Lead PI, 2021-2024.
  • QBRI Interdisciplinary research program (IDRP), “Integrative, translational research against COVID-19”. Lead PI, 2021-2023.
  • QBRI Internal Grant Program (IGP), “Mechanisms in pancreatic development and breast cancer stemness mitigated by Sox2”. Co-PI, 2021-2024.
  • “How beta cell-derived interleukin-33 shapes T cell regulation in T1D”. Co-PI (2020-2023).
  • QBRI Interdisciplinary research program (IDRP), “Diagnostic and predictive biomarkers in breast cancer”. Co-PI, 2019-2024.
  • QBRI Interdisciplinary research program (IDRP), “An integrated -omic approach to identify biomarkers for Type 2 Diabetes associated complications and comorbidities”. Co-PI, 2018-2023.
  • QBRI Interdisciplinary research program (IDRP), “Identifying Potential Molecular Biomarkers for Autism Spectrum Disorder”. Co-PI, 2018-2023.
  • QBRI Internal Grant Program (IGP #2016-003), “Pilot study of the role of Lactate Dehydrogenase C (LDHC) in the growth and migratory potential of triple negative breast cancer cells”. Lead PI, 2017-2019.
  • QBRI Internal Grant Program (IGP #2014-006), “Cancer Testis Antigens as candidate targets for cancer immunotherapy of Triple Negative Breast Cancer and the role of hypoxia in T cell based immunotherapy. Lead PI, 2016-2019.
Dr. Marwa Khalid Qaraqe

Dr. Marwa Khalid Qaraqe

Associate Professor

Office location

A036-C LAS Building

Dr. Marwa Khalid Qaraqe

Associate Professor

Educational Qualifications

PhD in Electrical Engineering

MSc in Electrical Engineering

Entity

College of Science and Engineering

Division

Information & Computing Technology

Biography

Dr. Marwa Qaraqe is an Associate Professor in the College of Science and Engineering at Hamad Bin Khalifa University. She is also the co-founder of the Autism Sensing Center (A-Sense) of the College of Science and Engineering at HBKU. She received her BSc in Electrical Engineering from Texas A&M University at Qatar with summa cum laude. Dr. Qaraqe earned her MSc and PhD in Electrical Engineering from Texas A&M University in College Station, United States.

Dr. Qaraqe serves as a TPC and reviewer to several prestigious technical journals and conferences, including the IEEE Wireless Communication and Networking Conference (WCNC) and IEEE Wireless Communication Magazine. She is also a member of the IEEE Communication Society (ComSoc) board for the Europe, Middle East, and Africa (EMEA) Region.

She has received several awards throughout her academic career, including the Best Paper Award in the 2022 IEEE Global Communications Conference (GLOBECOM), the Richard E. Wing Award for Excellence in Research, and first place in the Qatar Foundation Annual Research Forum in the Health and Biomedical Sector. She has also been awarded more than 2 million US dollars as lead principal investigator in competitive research grants for her research initiatives.

 

PhD in Electrical Engineering

Texas A&M University, United States

2016

MSc in Electrical Engineering

Texas A&M University, United States

2012

BSc in Electrical Engineering

Texas A&M University at Qatar

2010

  • Lightweight security for wireless networks
  • Machine learning for wireless communication
  • AI-enabled technology for personalized learning and intervention in children with autism
  • Predictive analytics

Associate Professor

College of Science and Engineering, Hamad Bin Khalifa University

2022 - Present

Assistant Professor

College of Science and Engineering, Hamad Bin Khalifa University

2016 - 2022

Research Assistant

Department of Electrical and Computer Engineering, Texas A&M University, United States

2010 - 2016

  • LPI: M. Qaraqe, PI: Dr. Dena Al-Thani, Dr. Fredrick Shic, and Ms. Chahnaz Baroudi, “Attention-AI: AI-Enabled Sensing for Joint Attention Detection in Children with Autism,” QRDI ARG, Cycle 1, $739,233, Jan 2024 – Jan 2027. Collaborating partners: Renad Academy, Seattle Children’s Hospital
  • LPIs: M. Qaraqe, Saud Althunibat, Jonathan Rodriguez, “Developing Physical-Layer Security Schemes for Internet of Things Networks,” NATO - Science for Peace and Security Program (SPS), 600,000 Euros ($704,000), Nov 2020 – Nov 2023. Collaborating partners: Al-Hussein Bin Talal University and Institute of Telecommunication – Portugal
  • LPIs: M. Qaraqe, H. Celebi, “Intelligent Public Safety Platform for Smart Cities, TUBITAK-QNRF Joint Funding Program, Cycle 3, $750,000, April 2021 – April 2024. Collaborating partners: Gibze Technical University, Texas A&M University, Ministry of Interior Qatar, Informatica Qatar, Havelsan, and Turkcell.
  • LPI: M. Qaraqe, M. Stotland, “Non-subjective facial assessment of children with cranio-facial abnormalities,” HBKU Innovation Fund Center, $14,000, Aug 2020 – Aug 2021. Collaborating partners: Sidra Medicine
  • Best Paper Award, “A Novel Sybil Attach Detection Mechanism for Mobile IoT networks,” 2022 IEEE Global Communications Conference (IEEE Globecom)
Dr. Dena Al-Thani

Dr. Dena Al-Thani

Associate Professor

Dr. Dena Al-Thani

Associate Professor

Educational Qualifications

PhD in Computer Science

MSc in Software Engineering

Entity

College of Science and Engineering

Division

Information & Computing Technology

Biography

Dr. Dena Al-Thani is an Associate Professor, Co-Founder of the A-sense Center of Excellence, and Head of the Information and Computing Technology Division at the College of Science and Engineering. She received her Ph.D. in Computer Science from Queen Mary University of London. Her research interests include accessibility, inclusive design, and eHealth.

Dr. Al-Thani actively publishes in top journals and presents at international conferences. Her research on inclusion aims to make a global impact. She is a member of the WHO's technical advisory group on assistive technology and the Arab ICT Accessibility Expert Group, led by Mada.

PhD in Computer Science

Queen Mary University of London, England

2016

MSc in Software Engineering

Queen Mary University of London, England

2009

BSc in Computer Science

Qatar University

2004

  • Inclusive Design
  • Autism
  • Accessibility
  • Explainable AI

Associate Professor

College of Science and Engineering, Hamad Bin Khalifa University

2022 - Present

Assistant Professor

College of Science and Engineering, Hamad Bin Khalifa University

2016 - 2022

Senior Manager Portal and Integration Platforms

Ooredoo, Qatar

2009 - 2011

dr-halima

Dr. Halima Bensmail

Principal Scientist

Joint Professor

Office location

1116, First Floor, HBKU Research Development Complex

Dr. Halima Bensmail

Principal Scientist

Joint Professor

Educational Qualifications

PhD in Biostatistics

MSc in Statistical Machine Learning

Entity

Qatar Computing Research Institute

College of Science and Engineering

Division

Qatar Center for Artificial Intelligence

Information & Computing Technology

Biography

Dr. Halima Bensmail is a Principal Scientist at the Qatar Computing Research Institute, a Professor at the College of Science and Engineering at Hamad Bin Khalifa University, and a visiting full Professor at Texas A&M University at Qatar. She received her PhD from Pierre & Marie Currie University in Paris, France, and worked as a postdoctoral fellow at the University of Washington and FHCRC in Seattle, Washington, USA. Halima was an assistant and associate professor at the University of Tennessee and the Virginia Medical School before joining Qatar Foundation. Halima's expertise lies in the frontiers of machine learning, bioinformatics, and computational biology, and she is also a statistician and a biostatistician.

She has published over 140 peer-reviewed papers in high-impact journals such as Nature Communications, Nucleic Acids Research, Genome Research, Briefings in Bioinformatics, Scientific Reports, and Bioinformatics. She has also earned multiple research awards taught courses in Qatar, the US, and France, and mentored many summer interns, and master's and PhD students. Halima has been the principal investigator and co-investigator on various research grants, and she is currently a member of a $2 million newly founded center provided by the USDA grant agency to the obesity center at Texas Tech. Halima has worked as a reviewer for the NIH and NSF, and she is a board member of the Artificial Intelligence and Quantum Technology Foundation in Davos and an AdCom representative of IEEE EMBs in MENA.

PhD in Biostatistics

Pierre and Marie Curie University, France

1996

MSc in Statistical Machine Learning

Pierre and Marie Curie University, France

1991

B.S. in Applied Mathematics and Statistics

University of Science - Rabat, Morocco

1989

  • Machine learning and artificial intelligence for Multiomics and Multimodal data modeling
  • Bioinformatics and computational biology and novel algorithms for biomarkers discovery and disease prediction and diagnosis
  • Statistical inferences and their application in sciences
  • Biostatistics and drug repurposing

Principal Scientist

Qatar Computing Research Institute, Hamad Bin Khalifa University

2011 - Present

Professor

College of Science and Engineering, Hamad Bin Khalifa University

2016 - Present

Associate Professor

Public Health, Eastern Virginia Medical School, United States

2006 - 2009

Associate Professor

Statistics, University of Tennessee, United States

2005 - 2006

Assistant Professor

Statistics, University of Tennessee, United States

2000 - 2005

Scientist

Data Theory, University of Leiden, Netherlands

1997 - 2000

Research Associate

Biostatistics, Fred Hutchinson Cancer Center, United States

1996 - 1997

Postdoc

Statistics, University of Washington, United States

1994 - 1996

Villiers, W., Mifsud, B., Lavender, P., Kelly, A., Bensmail, H., Elbasir, A., Dillon, A., & Osborne, C. (2023). Multi-omics and deep learning reveal context-specific gene regulatory activities of PML-RARA in acute promyelocytic leukemia. Nature Communications, 14(1), 724.

 

Patel, C. N., Mall, R., & Bensmail, H. (2023). AI-driven drug repurposing and binding pose meta-dynamics identifies novel targets for monkeypox virus. Journal of Infection and Public Health, 16(5), 799–807.

 

Chen, Z., Zhao, P., Li, F., Wang, Y., Smith, A. I., Webb, G. I., Akutsu, T., Baggag, A., Bensmail, H., & Song, J. (2020). DeepPRoMIse: A deep-learning framework for predicting two major types of RNA post-transcriptional modification sites from RNA sequences. Briefings in Bioinformatics, 21(5), 1676–1696.

 

Elbasir, A., Moovarkumudalvan, B., Kunji, K., Kolatkar, P., Mall, R., & Bensmail, H. (2020). A deep learning framework for sequence-based protein crystallization prediction. Journal of Bioinformatics, 35(13), 2216–2225.

 

Mall, R., Cerulo, L., Garofano, L., Frattini, V., Kunji, K., Bensmail, H., & Sabedot, T. S. (2020). RGBM: Regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes. Nucleic Acids Research, 46(7), e39.

 

  • 2023; Research award for Women in AI awarded by “Middle East Enterprise AI & Analytics Summit.
  • 2016; Best Contribution in Information Complexity awarded by the International Conference on Information Complexity and Statistical Modeling in High Dimensions with Applications (IC-SMHD-2016).
  • 2013; Best Research Team of the 2013 NPRP outcome, awarded by Qatar National Research Fund, Doha, Qatar.
  • 2011; Best Researcher in Computing, awarded by Annual Research Forum, Qatar Foundation.
  • 2000; ONRST Postdoctoral Fellowship, Office of Naval Research Science and Technology, Arlington, Virginia, U.S.A.
  • 1996; Best Research Award in Statistics for Classification, International Federation for Classification (IFCS96), Rome, Italy.
  • 1994; Graduate Fellowship, Institute National for Research in Informatics and Automatics (INRIA), Versailles, France.
Damilola S. Olawuyi

Dr. Damilola S. Olawuyi

Professor and Associate Dean for Research, UNESCO Chairholder on Environmental Law and Sustainable Development

Office location

C 03.016, College of Islamic Studies Building

Dr. Damilola S. Olawuyi

Professor and Associate Dean for Research, UNESCO Chairholder on Environmental Law and Sustainable Development

Educational Qualifications

DPhil

LL.M

Entity

College of Law

Biography

Professor Damilola S. Olawuyi, SAN (KC), FCIArb, is a Professor and UNESCO Chairholder on Environmental Law and Sustainable Development at the College of Law. He is also Chancellor’s Fellow and Director of the Institute for Oil, Gas, Energy, Environment and Sustainable Development (OGEES Institute), Afe Babalola University, Nigeria. 

A prolific and highly regarded scholar, Professor Olawuyi has practiced and taught law in Europe, North America, Asia, Africa, and the Middle East. 

Professor Olawuyi has published close to 100 articles, book chapters, and books on petroleum law, energy, and international environmental law. 

Professor Olawuyi serves on the executive committees and boards of several organizations. He is Vice Chair of the International Law Association; co-chair of the Africa Interest Group of the American Society of International Law (2016-2019); and member of the Academic Advisory Group of the International Bar Association’s Section on Energy, Environment, Natural Resources and Infrastructure Law (SEERIL). He is the Editor-in-Chief of the Journal of Sustainable Development Law and Policy.

Professor Olawuyi holds a doctorate (DPhil) in energy and environmental law from the University of Oxford; a master of laws (LLM) from Harvard University; and another LLM from the University of Calgary. He has been admitted as Barrister and Solicitor in Alberta, Canada; Ontario, Canada; and Nigeria.

Professor Olawuyi is a regular media commentator on all aspects of natural resources, energy and environmental law. 

 

DPhil

University of Oxford, United Kingdom

2013

LL.M

Harvard Law School, Cambridge, United States

2009

LLM

University of Calgary, Canada

2008

BL(First Class Honours)

Nigerian Law School, Abuja, Nigeria

2006

LLB (First Class Honours)

Igbinedion University, Okada, Nigeria

2005

  • International Petroleum Transactions
  • Energy Law and Policy
  • Climate Change Law and Policy
  • Africa and the Middle East
  • International Environmental Law
  • Business and Human Rights
  • Business Organizations
  • Structuring Transactions: Business Practice
  • Environmental Dispute Resolution
  • International Commercial Arbitration

Senior Visiting Research Fellow

Oxford Institute for Energy Studies, University of Oxford, United Kingdom

2016 - Present

Chancellor’s Fellow and Professor of International Law

Afe Babalola University, Nigeria

2016

Senior Lecturer in Law

College of Law, Afe Babalola University, Nigeria

2012-2016

David Sive Scholar

Columbia Law School, New York

2016-2016

Visiting Professor of Law

China University of Political Science and Law, Beijing, China

2015, 2016

Barrister and Solicitor

Energy Practice Group, Norton Rose Fulbright Canada LLP, Calgary, Alberta, Canada

2012-2016

University Research Fellow

Energy and Environmental Law, University of Calgary, Canada

2011-2012

Consultant

Energy and Environmental Law, International Development Law Organization, Rome, Italy

2011

(2nd Edition, Kluwer Law International, 2020) with Eduardo Pereira

in Inigo Del Guayo, Lee Godden, Donald N. Zillman, Milton Fernando Montoya, & Jose Juan Gonzalez (eds.), Energy Law and Energy Justice (Oxford University Press, 2020) 254-272.

103 (1) Journal of Environmental Science & Policy (Elsevier)

Current Opportunities and Future Directions (2020) Extractives Industry and Society Journal (Elsevier)

Handbook of International Investment Law (Springer, 2019) 1-21.

JOURNAL OF ENERGY & NATURAL RESOURCES LAW (Taylor and Francis, London) 93-117.

Innovation in Energy Law and Technology: Dynamic Solutions for Energy Transitions (Oxford University Press, 2018) 354-370.

Sustainable Development, International Aviation, and Treaty Implementation (Cambridge University Press, 2018) 154-174.

Energy Justice: US and International Perspectives (Edward Elgar, 2018) 73-104.

Encyclopaedia of Human Rights and the Environment, Indivisibility, Dignity and Legality (Edward Elgar, 2018).

Complexity's Embrace: The International Law Implications of Brexit (McGill-Queens University Press, 2018) 225-240.

7 (1) GLOBAL JOURNAL OF COMPARATIVE LAW (BRILL) 115-133 (With Mohammed E. Tok and Cristina D’ Alessandro)

36:1 JOURNAL OF ENERGY & NATURAL RESOURCES LAW (Taylor and Francis, London) 61-84.

34:1 JOURNAL OF ENERGY & NATURAL RESOURCES LAW (Taylor and Francis, London) (2016) 27-44.

MCGILL INT. JOURNAL OF SUST. DEV. LAW AND POLICY (2015) 113-158.

SANTA CLARA J. OF INTL. LAW (2015) 133-149.

OPEC ENERGY REVIEW (Blackwell Wiley) (2015) 247-265.

LAW AND DEVELOPMENT. REV. (2014) 107–129.

AFRICAN J. OF INT. & COMP. LAW (Edinburgh University Press) (2009) 270-301.

  • David Sive Research Fellowship, Columbia Law School, United States (2016)
  • Former Governor General of Canada, The Rt. Hon. Jeanne Sauvé's Fellowship Award for emerging global leaders (2010)
  • Future Leader Award, Nigerian Leadership Initiative (2011)
  • University Research Fellowship in energy law, Consortium for Peace Studies, University of Calgary, Canada (2012)
  • Distinguished Alumni Award, Igbinedion University, Okada, Nigeria (2012)
  • Doctoral Fellowship, Social Sciences and Humanities Research Council of Canada (2010-2013)
  • Clarendon Scholarship, Oxford University Press, University of Oxford (2009-2012)
  • Overseas Research Scholarship, Government of the United Kingdom (2009-2012)
  • Sloane Robinson Merit Award, Keble College, University of Oxford, United Kingdom (2009-2012)
  • Doctoral Fellowship, A.G Leventis Foundation, Greece (2011, 2012)
  • Harvard University Graduate Scholarship Award (2008)
  • Certificate of Merit, Harvard University Sustainability Program (2008)
  • Alberta Law Foundation Scholarship Award (2007)
  • University of Calgary Graduate Research Award (2007)
  • International Fellowship, Canadian Institute of Resources Law (2007)
  • Faculty of Law Graduate Award, University of Calgary (2007)
  • Valedictorian and Winner of the Chancellor's Prize for the overall best graduating student (2005)
  • Oba Ereduiwa's Outstanding Achievement Award, Igbinedion University, Nigeria (2005)
  • Vice Chancellor's Prize for the Overall Best Graduating Law Student (2005)
  • Governor Adamu Muazu's Prize for Outstanding Performance, Igbinedion University (2005)
  • Professor Olu Aina's Family Prize for the Best Graduating Student in Igbinedion University (2005)