Dr. Mounir Hamdi

Founding Dean of the College of Science and Engineering

Dr. Mounir Hamdi

Founding Dean of the College of Science and Engineering

Educational Qualifications

Ph.D. in Electrical Engineering

M.S. in Electrical Engineering

Entity

College of Science and Engineering

Biography

Mounir Hamdi is the founding Dean of the College of Science and Engineering at Hamad Bin Khalifa University (HBKU). He is an IEEE Fellow for contributions to design and analysis of high-speed packet switching, which is the highest research distinction bestowed by IEEE.

As founding Dean of the College of Science and Engineering, Dr. Hamdi led the foundation of 15 graduate programs and 1 undergraduate program and all the associated research labs and activities. In particular, 6 of these programs are the first PhD programs in HBKU. Currently, the College has more than 350 students including 150 PhD students, and has already graduated MS and PhD students.

Before joining HBKU, he was Chair Professor at the Hong Kong University of Science and Technology (HKUST), and the Head of the Department of Computer Science and Engineering. 

He received the B.S. degree in Electrical Engineering - Computer Engineering minor (with distinction) from the University of Louisiana in 1985, and the MS and the PhD degrees in Electrical Engineering from the University of Pittsburgh in 1987 and 1991, respectively.

He was a faculty member in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology since 1991, where he was a founding member of the University. He became the Head and Chair Professor of the Department. Under his Headship tenure, his Department was ranked 13th in the world by QS World Ranking (2013) and 21st in the world by the Academic Ranking of World Universities (ARWU) in 2013. He was the Director of the Computer Engineering Program, Director of the Master of Science in Information Technology, and Director of the Computer Networking Research Lab. He was involved with HKUST administration such as the University Senate, University Council, and University Administration Committee. In 1999 to 2000 he held visiting professor positions at Stanford University, USA, and the Swiss Federal Institute of Technology, Lausanne, Switzerland as well as Honorary Professor in various Chinese Universities such Nanjing University and Chinese Southeast University. His general area of research is in high-speed wired/wireless networking in which he has published more than 350 research publications, received numerous research grants, and graduated more 50 MS/PhD students. In addition, he has frequently consulted for companies and governmental organizations in the USA, Europe and Asia. He is also a frequent keynote speaker in International Conferences and Forums on matters related to cutting-edge research and education.

Prof. Hamdi is/was on the Editorial Board of various prestigious journals and magazines including IEEE Transactions on Communications, IEEE Communication Magazine, Computer Networks, Wireless Communications and Mobile Computing, and Parallel Computing as well as a guest editor of IEEE Communications Magazine, guest editor-in-chief of two special issues of IEEE Journal on Selected Areas of Communications, and a guest editor of Optical Networks Magazine. He has chaired more than 20 international conferences and workshops including The IEEE International High Performance Switching and Routing Conference, the IEEE GLOBECOM/ICC Optical networking workshop, and the IEEE ICC High-speed Access Workshop, and has been on the program committees of more than 200 international conferences and workshops. He was the Chair of IEEE Communications Society Technical Committee on Transmissions, Access and Optical Systems, and Vice-Chair of the Optical Networking Technical Committee, as well as member of the ComSoc technical activities council. He received the best paper award at the IEEE International Conference on Communications in 2009 and the IEEE International Conference on Information and Networking in 1998. He also supervised the best PhD paper award amongst all universities in Hong Kong.

In addition to his commitment to research and professional service, he is also a dedicated teacher and renowned quality-assurance educator. He received the best 10 lecturers award (through university-wide student voting for all university faculty held once a year), the distinguished engineering teaching appreciation award from the Hong Kong University of Science and Technology, and various grants targeted towards the improvement of teaching methodologies, delivery and technology. He is frequently involved in higher education quality assurance activities as well as engineering programs accreditation all over the world.

 


 

Ph.D. in Electrical Engineering

University of Pittsburgh, USA

1991

M.S. in Electrical Engineering

University of Pittsburgh, USA

1987

B.S. in Electrical Engineering with Distinction (Computer Engineering Minor)

University of Louisiana, USA

1985

  • Data Centers and Cloud Computing: Design and analysis of interconnection networks for data centers; protocols
  • load balancing and scheduling for cloud computing applications.
  • High-Speed Switching/Routing: Architectures
  • analysis and design of high-performance switches and Internet routers
  • scheduling algorithms
  • traffic management
  • memory architectures
  • and quality of service guarantees.
  • Optical Networks: Management
  • resource allocation
  • and service provisioning in multi-hop wavelength division multiplexing networks
  • MAC protocols for single-hop WDM networks
  • GMPLS
  • IP over WDM
  • quality of service guarantees
  • and modeling.
  • Wireless Networking: Design and analysis of wireless access schemes
  • multimedia transmission over wireless channels
  • IEEE 802.11 and IEEE 802.16 (rate adaptation and contention window adjustment)
  • and wireless TCP.
  • Parallel Computing Architectures and Algorithms: Design and analysis of communication networks for parallel comput¬ing
  • application design and embedding
  • topological properties
  • routing
  • and hardware analysis.

Founding Dean

College of Science and Engineering, Hamad Bin Khalifa University, Qatar

2013 – Present

Emeritus Professor

Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Clear Water Bay, Kowloon, Hong Kong

2015 – Present

Head, Department of Computer Science and Engineering

Hong Kong University of Science and Technology; Clear Water Bay, Kowloon, Hong Kong

2008 – 2013

Chair Professor

Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Clear Water Bay, Kowloon, Hong Kong

2010 – 2015

Full Professor

Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Clear Water Bay, Kowloon, Hong Kong

2003 - 2010

Associate Professor

Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Clear Water Bay, Kowloon, Hong Kong

1996 - 2003

Assistant Professor

Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Clear Water Bay, Kowloon, Hong Kong

1991 - 1996

Visiting Professor

Department of Electrical Engineering and Computer Science, Stanford University, USA

1999 – 2000

Visiting Professor

Department of Computer Science, The Swiss Federal Institute of Technology, Switzerland

1999

Honorary Professor

Southeast University, Nanjing – China

2009 – Present

Honorary Professor

Nanjing University, Nanjing – China

2009 – Present

Director

Computer Engineering Program, HKUST, Clear Water Bay, Kowloon, Hong Kong

1998 - 2006

Director

Master of Science in Information Technology, HKUST, Clear Water Bay, Kowloon, Hong Kong

2005 - 2008

Director

Computer Engineering Lab, CSE Department, HKUST, Clear Water Bay, Kowloon, Hong Kong

1994 - 2013

Chair

Hong Kong Institute of Engineers Accreditation Council of Computer Science Programs

2011 - 2013

Member of HKUST University Council

2006 – 2008

Member of HKUST University Senate (member-at-large)

2002 – 2008

Chair

IEEE Communications Society Technical Committee on “Transmissions, Access, and Optical Systems”

2002 - 2004

Vice-Chair

IEEE Communications Society Technical Committee on “Optical, Networking”

2002 - 2003

“Unified Statistical Channel Model for Turbulence-Induced Fading in Underwater Wireless Optical Communication Systems”, IEEE Transactions on Communications

“Achieving Energy Efficiency in Data Centers Using an Artificial Intelligence Abstraction Model”, IEEE Transactions on Cloud Computing, Vol. PP, No. 99

"Exploring Smart Pilot for Wireless Rate Adaptation" IEEE Transactions on Wireless Communications, Vol. 15, No. 7

“Rethinking the Data Center Networking: Architecture, Network Protocols, and Resource Sharing”, Journal of IEEE Access

“Attachment-Learning for Multi-Channel Allocation in Distributed OFDMA-Based Networks”, IEEE Transactions on Wireless Communications, Vol. 12, No. 4, pp. 1712-1721

“Practical Rate Adaptation for Very High Throughput WLANs”, IEEE Transactions on Wireless Communications, Vol. 12, No. 2, pp. 908-916

“Attached-RTS: Eliminating Exposed Terminal Problem in Wireless Networks”, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 7

“Combating Hidden and Exposed Terminal Problems in Wireless Networks”, IEEE Transactions on Wireless Communications, Vol. 11, No. 11, pp. 4204-4213

“Revenue Improvement for Wireless Service Provider in Hybrid Macrocell-Femtocell Networks”, IEEE Transactions on Vehicular Technology, Vol. 61, No. 9, pp. 4109-4117

"Dynamic Spectrum Sharing with Multiple Primary and Secondary Users", IEEE Transactions on Vehicular Technology. Vol. 60, No. 4, pp. 1756-1765

Teaching

  • Best Ten Lecturers Award (out of almost 500 faculty members) at The Hong Kong University of Science and Technology, 1999. This award is given once a year, and is done through University-wide voting by all students to elect the best 10 teachers of the whole University. Less than 8% of the faculty have received this prestigious award since its introduction in 1996.
  • Teaching Excellence Appreciation Award from the School of Engineering at The Hong Kong University of Science and Technology, 1998.

 

Research

  • Major Research Award
    Fellow of IEEE for research contributions to design and analysis of high-speed packet switching (The highest honor bestowed by IEEE. This honor is given to less than 0.1% of IEEE members).
  • Best Paper Awards
  • Best Paper Award at the 2012 IEEE International Conference on Globecom, Los Angeles, USA, 2012.
  • Best Paper Award at the 2009 IEEE International Conference on Communications, Dresden, Germany, 2009.
  • Best Paper Award (out of 152 papers) at The 12th IEEE International Conference on Information Networking, 1998.
  • Best PhD Paper Award with my PhD student within all Universities in Hong Kong, 2003.
  • Best Paper Award for excellent UG student paper contest, IEEE Hong Kong, 1994.
  • Keynote Presentations
    • 25 Keynote presentations in International Conferences and Forums.
  • Others
    • Founding Faculty of the Hong Kong University of Science and Engineering, Hong Kong (Ranked 30th overall in the world and 2nd in the world for universities under 50 years old).
    • Total number of research grants: 48 
    • General-Chair or TPC Chair of 22 International Conferences/Symposiums/Workshops 
  • Visiting Professor, Department of Electrical Engineering and Computer Science, Stanford University, USA.
    December 1999 – July 2000
  • Visiting Professor, Department of Computer Science, The Swiss Federal Institute of Technology, Switzerland.
    June 1999 – Dec. 1999
  • Honorary Professor, Southeast University, Nanjing – China.
    2009 – Present                             
  • Honorary Professor, Nanjing University, Nanjing – China.
    2009 – Present  

Dr. Georges Nemer

Associate Dean for Research

Phone

41 330

Office location

B-135, LAS

Dr. Georges Nemer

Associate Dean for Research

Educational Qualifications

Ph.D. Pharmacology

M.Sc. Pharmacology (direct passage to Ph.D.)

Entity

College of Health and Life Sciences

Biography

Dr. Georges Nemer is a Professor of genomics and translational biomedicine and the Associate Dean for Research at the College of Health and Life Sciences at Hamad Bin Khalifa University. With a PhD in Pharmacology from the Université de Montréal, Dr. Nemer has an extensive academic and research background, particularly in genomics and molecular genetics. Before his current role, he served as the Interim Dean of the College of Health and Life Sciences and led the Genomics and Translational Biomedicine division at HBKU.

Dr. Nemer's research is highly regarded, with numerous publications in prestigious journals. His work spans genetic determinants of diseases, including congenital heart disease, hypercholesterolemia, cardio-cutaneous diseases, and Vitamin D deficiency. He has been recognized with several awards, including the Paul Dudley White International Scholar Award and the Wayne G. Watson Award for Biologic or Experimental Research.

In addition to his research, Dr. Nemer has contributed significantly to academic administration and faculty mentoring. He has held pivotal roles at the American University of Beirut, where he directed the Molecular Core Facility and co-directed the Congenital Heart Disease Genetic Program. Dr. Nemer's commitment to advancing scientific knowledge and education is reflected in his numerous editorial activities and service on various academic and governmental committees.

Ph.D. Pharmacology

Université de Montréal, Montreal, CANADA

1996 - 2002

M.Sc. Pharmacology (direct passage to Ph.D.)

Université de Montréal, Montreal, CANADA

1994 - 1996

B.Sc. Biology

American University of Beirut (AUB), Beirut, LEBANON

1989 - 1992

French Baccalaureate (mention)

Mont-La-Salle, Aïn Saadé, Lebanon

1989

  • Congenital heart disease
  • Familial hypercholesterolemia and cardiomyopathies
  • Cardio-cutaneous diseases
  • Vitamin D deficiency

Director of the Basic Science Research Faculty Affairs

American University of Beirut, Lebanon

2011 - 2019

Professor

Department of Biochemistry and Molecular Genetics, American University of Beirut, Lebanon

2015 - 2019

Associate Professor

Department of Biochemistry, American University of Beirut, Lebanon

2008 - 2015

Assistant Professor

Department of Biochemistry, American University of Beirut, Lebanon

2002 - 2008

  • Duly elected to be a full member of Qualifications and Membership of the Society by the committee of Sigma Xi The Scientific Research Honor Society. NC, USA: 2023
  • Farouq Jabre Research Award, Beirut, Lebanon: 2015
  • AUB Dean of Medicine Research Award, Beirut, Lebanon: 2013
  • Marquis Who’s who in the world: 2013
  • Farouq Jabre Research Award, Beirut, Lebanon: 2012
  • European Society for Cardiology Travel Award. Amsterdam, Netherlands: 2011
  • Pfizer Canada Best Student Oral Presentation Award, Montreal, Canada: 2000
  • Roger Boucher Best Student Oral Presentation Award, Montreal, Canada: 1998

Dr. Dindial Ramotar

Professor

Office location

C-148, 1st Floor, LAS Building

Dr. Dindial Ramotar

Professor

Educational Qualifications

B.Sc

M.Sc

Entity

College of Health and Life Sciences

Biography

B.Sc

McGill University, Montreal, Canada

1982

M.Sc

Concordia University, Montreal, Canada

1984

Ph.D

McGill University, Montreal, Canada

1989

Post-Doctoral training

Harvard University, Cambridge, MA, USA

1992

Senior Scientist

Universite de Montreal, Maisonneuve-Rosemont Hospital Research Institute.

1997-2019

Full professor

Universite de Montreal, Department of Medicine.

1997 - 2019

Assistant Professor

Laval University, Quebec, Canada.

1993 - 1996

Post-doctoral training

Harvard University, Boston, MA, USA.

1989 - 1992

Drug Metab Rev. 2019 Sep 28:1-19. doi: 10.1080/03602532.2019.1670204. PMID: 31564168.

Gene. 2018 Nov 30;677:361-369. doi: 10.1016/j.gene.2018.08.066. PMID: 30153484

Sci Rep. 2018 May 1;8(1):6860. doi: 10.1038/s41598-018-25124-1. PMID: 29717169

CUX1 stimulates APE1 enzymatic activity and increases the resistance of glioblastoma cells to the mono-alkylating agent temozolomide; Neuro Oncol. 2018 Mar 27;20(4):484-493. doi: 10.1093/neuonc/nox178. PMID: 29036362.

The human organic cation transporter OCT1 mediates high affinity uptake of the anticancer drug daunorubicin; Sci Rep. 2016 Feb 10;6:20508. doi: 10.1038/srep20508. PMID: 26861753.

DNA Repair (Amst). 2014 Oct;22:53-66. doi: 10.1016/j.dnarep.2014.07.010. Epub 2014 Aug 9. PMID: 25108836.

DNA Repair (Amst). 2012 Oct 1;11(10):811-22. doi: 10.1016/j.dnarep.2012.06.009. Epub 2012 Jul 20. PMID: 22819077.

PLoS One. 2011;6(8):e23159. doi10.1371/journal.pone.0023159. PMID: 21887235.

Biochem Biophys Res Commun. 2011 Sep 23;413(2):248-53. doi: 10.1016/j.bbrc.2011.08.079. PMID: 21884683.

J Biol Chem. 2010 Feb 26;285(9):6275-84. doi: 10.1074/jbc.M109.046151. PMID: 20037140

  • 1994-1996; Junior I, Fonds de la Recherche en Sante du Quebec, Scholarship, Montreal, Canada. 
  • 1996-2000; Junior II, Fonds de la Recherche en Sante du Quebec, Scholarship, Montreal, Canada.
  • 1996-2002; Career Scientist Award, National Cancer Institute of Canada, Toronto, Canada.
  • 2002-2005; Senior Award, Fonds de la Recherche en Sante du Quebec, Montreal, Canada. 
  • 2010; Special Achievements Award, Toronto, Canada
  • 2011; Award for excellence, Department of medicine, University of Montreal, Montreal, Canada.
  • 2017; Honor lecturer, International School on Radiation Research, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, India.

Dr. Ozcan Ozturk

Associate Professor

Associate Professor in Economics and Public Policy

Office location

31, 3rd floor, Mineratein Building

Dr. Ozcan Ozturk

Associate Professor

Associate Professor in Economics and Public Policy

Educational Qualifications

Ph.D. Applied Economics

MA Applied Economics

Entity

College of Public Policy

School of Economics and Management

Biography

Dr. Ozturk obtained his Ph.D. in Applied Economics, with a minor in Statistics, from Auburn University, following his completion of a Master of Arts in Applied Economics at Western Michigan University. He also holds an LLM in Law and Economics from Michigan State University.

Dr. Ozturk regularly teaches courses on topics such as economics for public policy, cost-benefit analysis, research methods, microeconomics, macroeconomics, statistics for social sciences, and econometrics. His research primarily focuses on international trade, economic development, and food and agriculture, showcasing a broad interest in these critical areas.

Throughout his career, Dr. Ozturk has been actively involved in numerous multidisciplinary projects of both national and international scope across Europe, North America, Turkey, and Qatar.

 

Ph.D. Applied Economics

Auburn University

2017

MA Applied Economics

Western Michigan University

2013

LLM -Master in Law (Law and Economics)

Michigan State University

2011

BA Business Administration

Ataturk University

2008

  • Applied economics
  • International trade
  • Economic development
  • Food and agriculture

Assistant Professor

College of Public Policy, HBKU

2019 – Present

Assistant Professor

Department of Economics, Ataturk University, Turkey

2018 - 2019

Adjunct Faculty

Department of Economics, Auburn University at Montgomery, USA

2016 – 2017

Research and Teaching Assistant

Auburn University, USA

2014 – 2016

Research Assistant

Western Michigan University, USA

2012 - 2013

Ozturk O and Faizi B (2023), The Russia-Ukraine war, soaring food prices, and the Turkish economy: insights from computable general equilibrium. Front. Environ. Sci. 11:1233233. DOI: 10.3389/fenvs.2023.1233233

Ozcan, O., Ergun, A., and Sena, G. (2023). An empirical examination of trade policy and food security in MENA countries: Evidence from quantile regressions. Glob. Bus. Econ. Rev. Inderscience. DOI:10.1504/GBER.2024.10056913

Peter Chow, Ozcan Ozturk & Henry Thompson (2023) Short-Run Adjustments in Taiwan to Free Trade in a Multisector Specific Factors Model, The International Trade Journal, 37:6, 595-607. DOI: 10.1080/08853908.2022.2090463

Logan Cochrane, Ozcan Ozturk, Hanieh Khataee, Reem Al-Hababi, Fatema Al-Malki & Hisham Nourin (2022) Fostering a reading culture: evidence from Qatar Reads, Development Studies Research, 9:1, 82-94. DOI: 10.1080/21665095.2022.2050774

Ozcan Ozturk (2020) Market integration and spatial price transmission in grain markets of Turkey, Applied Economics, 52:18, 1936-1948. DOI: 10.1080/00036846.2020.1726862

  • Project Investigator, “COVID-19 Policy Tracker: MENA Government Responses to the Crisis” Funded by QNRF.

Syed Ali Hashim Moosavi

Software Engineer

Phone

33 176 624

Office location

B137, Level 1, HBKU Research Complex

Syed Ali Hashim Moosavi

Software Engineer

Educational Qualifications

MS in Computer Science

BS in Computer Science

Entity

Qatar Computing Research Institute

Division

Social Computing

Biography

Hashim Moosavi is a Software Engineer in the Social Computing Group working on healthcare analytics projects. Prior to joining QCRI, he worked in Sidra Medicine, where he developed several enterprise-ready web and mobile applications like "10 Moons" maternity app & "Saffara" queuing platform for the hospital. Before that, he also created several mobile and wearable apps & frameworks at IBM Research India for enterprise that utilize Watson services.

 

MS in Computer Science

Georgia Institute of Technology; USA

2020

BS in Computer Science

Carnegie Mellon University; USA

2014

  • Healthcare
  • Assistive Tech
  • Mobile
  • Wearables
  • Augmented Reality
  • Virtual Assistants

Senior Developer

Center for Medical Innovation, Software & Technology; Sidra Medicine

2017 - 2018

Software Engineer

Cognitive Education & Interactions Lab; IBM Research

2016 - 2017

Research Assistant

Electrical & Computer Engineering; Texas A&M University

2014 - 2015

A cloud-based system for real-time, remote physiological monitoring of infants; 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT); Source: https://ieeexplore.ieee.org/abstract/document/7394400

  • 2016; Manager's Choice Award; IBM Research; India
  • 2014; Outstanding Scholar Award; Carnegie Mellon University; Qatar

Fahim Dalvi

Software Engineer

Phone

44 540 579

Office location

RC-B1-1133

Fahim Dalvi

Software Engineer

Educational Qualifications

Masters of Science in Computer Science

Bachelors of Science in Computer Science

Entity

Qatar Computing Research Institute

Division

Arabic Language Technologies

Biography

Fahim Dalvi is a Software Engineer at QCRI. Dalvi’s research as part of the Arabic Language Technologies team is centered around the intersection of Natural Language Processing and Deep Learning, and he has worked on wide variety of problems in these fields, including machine translation, language modeling, and explainability in deep neural networks. He also spends his time converting research into practical applications, with a focus on scalable web applications, as well as mentoring and teaching deep learning at fall and summer schools.

 

Masters of Science in Computer Science

Stanford University; Stanford/United States of America

2016

Bachelors of Science in Computer Science

Carnegie Mellon University; Pittsburgh/United States of America

2014

  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Explainable AI
  • Machine Translation

Software Engineer

Qatar Computing Research Institute; Hamad Bin Khalifa University

2017 - Present

Research Associate

Qatar Computing Research Institute; Hamad Bin Khalifa University

2016 - 2017

Co-founder

Problemia

2015 - 2016

3D Content Creator

Williams F1

2012 - 2012

Identifying And Controlling Important Neurons In Neural Machine Translation; Seventh International Conference on Learning Representations (ICLR)

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models; The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks; The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation; The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage. NewsIR@ ECIR, 2079, 27-32.

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder; 8th International Joint Conference on Natural Language Processing (IJCNLP)

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. In Proceedings of the Eighth International Joint Conference on Natural Language Processing

Neural Machine Translation Training in a Multi-Domain Scenario. In Proceedings of the 14th International Workshop on Spoken Language Translation.

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.

What do Neural Machine Translation Models Learn about Morphology?; 55th Annual Meeting of the Association for Computational Linguistics (ACL)

QCRI Live Speech Translation System. EACL 2017, 61.

QCRI@ DSL 2016: Spoken Arabic Dialect Identification Using Textual. VarDial 3, 221.

QCRI's Machine Translation Systems for IWSLT'16. In Proceedings of the 13th International Workshop on Spoken Language Translation.

  • 2017; Best Audience Experience; BBC NewsHack; London/UK
  • 2016; Best Arabic machine translation system; IWSLT; Seattle/USA
  • 2015; Best MYO hack; Hack Overflow; Stanford/USA
  • 2014; Hamad Bin Khalifa University President's Award; HBKU; Doha/Qatar
  • 2014; Outstanding Academic Achievement; Carnegie Mellon University; Doha/Qatar
  • 2014; Senior Student Leadership Award; Carnegie Mellon University; Doha/Qatar

Dr. Abdelkader Baggag

Senior Scientist

Associate Professor

Phone

44 547 250

Office location

HBKU Research Complex, Office 1185

Dr. Abdelkader Baggag

Senior Scientist

Associate Professor

Educational Qualifications

PhD in Computer Science

MSc in Applied Mathematics

Entity

Qatar Computing Research Institute

College of Science and Engineering

Division

Information & Computing Technology

Biography

Dr. Abdelkader Baggag is a Senior Scientist at Qatar Computing Research Institute and an Associate Professor in the ICT Division of the College of Science and Engineering, where he teaches Generative AI Foundations. Dr. Baggag is an expert in Machine Learning and holds a PhD in Computer Science from the University of Minnesota, USA. Before joining QCRI, he was at McGill University and then a tenured Associate Professor at Laval University in Canada.

Dr. Baggag worked at leading HPC research centers in the USA, e.g., CRI at Purdue, ICASE at NASA Langley Research Center in VA, and MSI in Minnesota. Dr. Baggag’s research is in AI and RL, focusing on multimodal LLMs. He has worked on AI and ML applications that include AI for wearable data analytics, traffic prediction and missing data imputation, and AI for resilient smart cities.

PhD in Computer Science

University of Minnesota, United States

2003

MSc in Applied Mathematics

Ecole Polytechnique of Montreal, Canada

1993

Ingenieur d'Etat (Bachelor of Engineering)

Ecole Nationale Polytechnique of Algiers, Algeria

1990

  • Image understanding in LLMs
  • Mass fact editing in LLMs
  • Watermarking of LLMs
  • Multimodal fusion for heterogeneous biomedical data

AI Senior Scientist

Qatar Computing Research Institute, Hamad Bin Khalifa University

2014 - Present

Associate Professor

College of Science and Engineering, Hamad Bin Khalifa University

2017 - Present

Associate Professor

Computing and Engineering, Laval University, Quebec, Canada

2010 - 2017

Associate Professor

Computer Science, Louisiana Tech University, United States

2008 - 2010

Assistant Professor

Computing and Engineering, McGill University, Quebec, Canada

2005 - 2008

Senior High-Performance Computing Analyst

Consortium CLUMEQ on High-Performance Computing, McGill University, Quebec, Canada

2003 - 2008

Visiting Scholar

Computing Research Institute, Purdue University, United States

2001- 2003

Assistant Professor

Computer Science, Hampton University, United States

2000 - 2001

Research Fellow

Institute for Computer Applications in Science and Engineering (ICASE), NASA Langley Research Center, United States

1995 - 2001

Baggag, A., & Saad, Y. (2025). Deep learning, transformers, and graph neural networks: A linear algebra perspective. Numerical Algorithms Journal.

Abdelaal, Y., Aupetit, M., Baggag, A., & Al Thani, D. (2024). Exploring the applications of explainability in wearable data analytics: A systematic literature review. Journal of Medical Internet Research (JMIR).

Abdelaal, Y., Aupetit, M., Baggag, A., Bashir, M., & Al-Thani, D. (2024). How much wearable data is enough for the utility and trust of augmented artificial intelligence systems? A scenario-based interview with medical professionals. International Journal of Human-Computer Interaction.

Salkovic, E., Baggag, A., Salem, A. G. R., & Bensmail, H. (2023). OutSingle: A novel method of detecting RNA-seq aberrant genes using the optimal hard threshold for singular values. Bioinformatics, 39(4).

Coskun, M., Baggag, A., & Koyuturk, M. (2021). Fast computation of Katz index for efficient processing of link prediction queries. Data Mining and Knowledge Discovery.

  • Ministère de l’Éducation, du Loisir et du Sport, Quebec – Scholarships program in Science and Engineering: only 8 professors were recruited under this program. Dr. Baggag was one of them.
  • Scholarship from the Ministry of Higher Education of Algeria to pursue graduate studies in Canada, 1990 – This scholarship is awarded to the top 20 from the École Nationale Polytechnique. Dr. Baggag was ranked first in the exam nationwide.
  • Ranked first nationwide in the “Examen du Baccalauréat” section mathematics, 1985.
  • Received by the (late) President of Algeria, Chadli Bendjedid, and awarded a scholarship.

Mus'ab Husaini

Senior Software Engineer

Phone

44 542 661

Office location

RC-B1-1222

Mus'ab Husaini

Senior Software Engineer

Educational Qualifications

Master of Science in Computer Science

Bachelor of Computer Engineering

Entity

Qatar Computing Research Institute

Biography

Mus'ab Husaini is a Senior Software Engineer at Qatar Computing Research Institute (QCRI), with over 10 years’ industry experience in the design, architecture, and development of large and small-scale software projects. He is particularly interested in designing front-end applications and developing microservice-based architecture. His work in the industry has involved legal, healthcare, cybersecurity, and social media software systems.

 

Master of Science in Computer Science

Sabanci University; Istanbul/Turkey

2013

Bachelor of Computer Engineering

University of Minnesota; Minneapolis/USA

2004 - 2007

  • Frontend Application Design
  • Software Architecture
  • Microservice-based Systems

Senior Software Engineer

QCRI

2018 - Present

Software Development Consultant

Surge IT Services

2018 - 2018

Senior Software Engineer

Starkey Hearing Technologies

2014 - 2018

Software Engineer

P.I. Works

2014 - 2014

Research Assistant

Sabanci University

2011 - 2013

Software Engineer

Thomson Reuters

2008 - 2011

Software Test Engineer

Thomson Reuters

2007 - 2008

Ummar Abbas

Senior Software Engineer

Phone

44 546 170

Office location

RC-B1-1224

Ummar Abbas

Senior Software Engineer

Educational Qualifications

Masters in Computer Science and Engineering

Bachelors in Computer Science and Engineering

Entity

Qatar Computing Research Institute

Biography

Ummar Abbas is a Senior Software Engineer at the Qatar Computing Research Institute (QCRI), with more than 15 years of experience in areas of software development, architecture and management. His particular interest lies in scientific research-oriented software development: machine/system control, algorithms, image processing and other software supporting high end machines such as healthcare modalities and microscopes. Most of his experience is derived from software development and leadership roles related to life-sciences and healthcare modalities. In the past four years, Abbas has developed a keen interest in the area of data science: deep learning and machine learning. He has since been engaged in this field either at work or through extra-curricular projects.

 

Masters in Computer Science and Engineering

Technical University Eindhoven, The Netherlands

2006

Bachelors in Computer Science and Engineering

Bangalore Institute of Technology India

2001

  • Data Science
  • Deep learning and machine learning
  • Healthcare
  • AI
  • Image Processing

Senior Software Engineer/SW Engineering Team Manager

Qatar Computing Research Institute. Doha, Qatar.

2018 - Present

Project Leader / Senior Research Engineer

Siemens Healthineers Corporate Research. Doha, Qatar.

2015 - 2018

Senior Software Architect

FEI Company BV. Eindhoven, The Netherlands.

2014 - 2015

Software Architect

FEI Company BV. Eindhoven, The Netherlands.

2009 - 2015

Senior Software Designer

FEI Company BV. Eindhoven, The Netherlands.

2007 - 2009

Software Engineer

Philips Medical Systems BV. Best, The Netherlands.

2007 - 2009

Software Engineer

Philips Software Center. Bangalore, India.

2001 - 2002

Dr. Heba H. Al-Siddiqi

Scientist

Dr. Heba H. Al-Siddiqi

Scientist

Entity

Qatar Biomedical Research Institute

Division

Diabetes Research Center

Biography

Dr. Heba H. Al-Siddiqi graduated from Cardiff University, UK in 2008 with a bachelor’s degree in biomedical sciences. She joined Qatar Research Leadership Programme (QRLP) in 2009. She trained at Harvard Stem Cell Institute and Department of Stem Cell and Regenerative Biology, Boston (2010-2012). Dr. Al-Siddiqi received her Doctor of Philosophy (DPhil) from the University of Oxford in 2018. Her project focused on studying the metabolism of stem cells (human induced-pluripotent stem cells) and their differentiated cardiomyocytes. Her research highlighted the importance of metabolic maturation in directed cardiac differentiation to generate an “adult-like” hiPSCs-derived cardiomyocytes.

Dr. Al-Siddiqi has joined QBRI in 2018 as a Scientist at the Diabetes Research Center. Dr. Al-Siddiqi’s current research focus is on stem cells and pancreatic cell differentiation and maturation.

 

Chaning metabolism in differentiating cardiac progenitor cells – Can stem cells become metabolically flexible cardiomyocytes? Frontiers in Cardiovascular Medicine

Programming human pluripotent stem cells into white and brown adipocytes. Nature Cell Biology (* Co-first author).

The Effect of Oleic Acid and a PPAR-α agonist on Beating human inducible Pluripotent Stem Cell-derived Cardiomyocytes. BHF CRE Oxford Annual Research Symposium, September 19th, 2016. Oxford, UK.

Human Inducible-pluripotent stem cells as an in vitro model for human cardiomyocytes to study maturation and metabolism. Sherrington Poster Day, October 23rd 2014. Oxford, UK.

Programming human pluripotent stem cells into white and brown adipocytes, Qatar International Conference on Stem Cells Science and Policy, February 27- March 1, 2012, Doha, Qatar.

Undifferentiated iPS Cells Do Not Regenerate Functional Lung Tissue When Seeded on Native Lung Extracellular Matrix under Biomimetic Culture Conditions. Qatar Foundation Annual Research Forum, November 20-22, 2011, Doha, Qatar.

Native Lung Extracellular Matrix Scaffolds and Biomimetic Culture Conditions Alone Do Not Induce Lung Tissue Formation from Pluripotent iPS cells. Society for Laboratory Automation and Screening (SLAS) for Screening Stem Cells 2011: From Reprogramming to Regenerative Medicine, September 26-27, 2011, Boston, MA, USA.

Differentiation of Adipocytes from human-Inducible Pluripotent Cells. Qatar Foundation Annual Research Forum, December 12-13, 2010, Doha, Qatar.