Dr. Sarah Aqel
Research Assistant
Educational Qualifications
BSc in Medicine
BSc in Surgery
Entity
Qatar Biomedical Research Institute
Division
Neurological Disorders Research Center
Biography
Dr. Sarah Aqel is a Research Assistant at the Qatar Biomedical Research Institute of Hamad Bin Khalifa University. She earned her MBBS degree from Yarmouk University, Jordan. She has experience working as an Associate Public Health Physician at the CDC department of the Ministry of Public Health (MOPH) and as a Clinical Research Coordinator at the Medical Research Center at Hamad Medical Corporation. During her time at these institutions, she contributed to various public health initiatives, medical research projects, and educational activities. Dr. Aqel has been involved in multiple research publications and actively participates in the peer-review process for scientific journals. She continues to contribute her expertise to the advancement of medical science.
BSc in Medicine
Yarmouk University, Jordan
2020
BSc in Surgery
Yarmouk University, Jordan
2020
Research Assistant
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2024 - Present
Clinical Research Coordinator
Medical Research Center, Hamad Medical Corporation
2023 - 2024
Associate Public Health Physician
Centers for Disease Control and Prevention, Ministry of Public Health
2022 - 2023
Dr. Razik Bin Abdul Mu-u-min
Research Associate
Educational Qualifications
PhD in Cardiovascular Science
MSc in Cancer Research and Molecular Biomedicine
Entity
Qatar Biomedical Research Institute
Division
Diabetes Research Center
Biography
Dr. Razik Bin Abdul Mu-u-min is a Research Associate at Qatar Biomedical Research Institute of Hamad Bin Khalifa University. He received his Master’s in Molecular Biomedicine from the University of Manchester. He joined the Qatar Cardiovascular Research Center in 2013 where he worked on developing an optical mapping system for measuring calcium transients and membrane voltage in stem cell-derived cardiomyocytes. In 2015, he joined the University of Oxford to pursue his DPhil in the Department of Pharmacology. His research focused on the role of calcium mobilizing messengers in cardiac arrhythmia.
In 2021, Dr. Razik Bin Abdul Mu-u-min joined Qatar Biomedical Research Institute as a Research Associate in Dr. Heba H. Al-Siddiqi’s lab. His main research focuses on generating functional beta cells from human embryonic and induced pluripotent stem cell lines to study the role of mitochondria in beta cell differentiation. He also studies the role of the transcription factor MafB in the differentiation of stem cells into functional beta cells.
PhD in Cardiovascular Science
University of Oxford, United Kingdom
2020
MSc in Cancer Research and Molecular Biomedicine
University of Manchester, United Kingdom
2012
- Diabetes
- Stem cell research
Research Associate
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2021 - Present
Research Specialist
Sidra Medical and Research Center
2015 - 2016
Research Associate
Qatar Cardiovascular Research Center
2013 - 2015
Shaikha Al-Naimi
PhD Student Quantum Computing
Educational Qualifications
M.S. in Cybersecurity
B.S. in Electrical Engineering
Biography
Shaikha Jamal Alnaimi is a PhD student in Computer Science and Engineering at Hamad Bin Khalifa University (HBKU). She holds an MSc in Cybersecurity (HBKU, 2024) and a BSc in Electrical Engineering (Qatar University, 2019). Alongside her studies, she works as an Electrical SCADA Engineer at Kahramaa, contributing to the operation and security of Qatar’s electricity infrastructure. Her research interests lie in cybersecurity, quantum technologies, and transforming imaginative ideas into real-world applications through research.
M.S. in Cybersecurity
Hamad Bin Khalifa University
2024
B.S. in Electrical Engineering
Qatar University
2019
- Quantum computing
- Quantum sensing
- Cyber security
Elec SCADA Engineer
Electricity System Control Department, Kahramaa
2020 - Present
Mai Mohammed Saed
Master Student Quantum Computing
Noora Al-Marri
Master Student Quantum Computing
Nasser Al-Maadeed
Master Student Quantum Communication
Fahad Saleh Al-Obaidly
Master Student Quantum Computing
Dr. Nezir Aydin
Associate Professor
Educational Qualifications
PhD in Industrial and Systems Engineering
MSc in Industrial Engineering
Entity
College of Science and Engineering
Division
Engineering Management & Decision Sciences
Biography
Dr. Nezir Aydin is an Associate Professor at Hamad Bin Khalifa University’s College of Science and Engineering. He has a BSc and MSc in Industrial Engineering from Yildiz Technical University, Istanbul, Turkiye, and a PhD in Industrial and Systems Engineering from Wayne State University, Detroit, USA.
For over twenty years of academic and research activities, he has been conducting research in decision-making under uncertainty, mathematical modeling, and stochastic optimization in logistics, operations, and supply chain management. He has published over 60 papers in international journals.
PhD in Industrial and Systems Engineering
Wayne State University, United States
2012
MSc in Industrial Engineering
Yildiz Technical University, Turkiye
2007
BSc in Industrial Engineering
Yildiz Technical University, Turkiye
2005
- Supply chain management
- Mathematical modeling and operations optimization
- Stochastic optimization
- Decision-making under uncertainty
Associate Professor
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Associate Professor
Industrial Engineering, Yildiz Technical University, Turkiye
2018 - 2023
Assistant Professor
Industrial Engineering, Yildiz Technical University, Turkiye
2014 - 2018
Instructor/Teaching Assistant
College of Engineering, Wayne State University, United States
2007 - 2012
Research Assistant
Industrial Engineering, Yildiz Technical University, Turkiye
2005 - 2007
Complete Publication Listing(s): Google Scholar
- Best Presentation Award, Graduate Research Symposium, November 2010, Industrial and Systems Engineering, Wayne State University,
- Awarded as the winner of Thomas C. Rumble University Graduate Fellowship (Fall 2009-Winter 2010), Industrial and Systems Engineering, Wayne State University,
- Best Presentation Award, Graduate Research Symposium, November 2008, Industrial and Systems Engineering, Wayne State University,
- Bright Students Scholarship/Awards, 2000-2005, Sabanci Holding Company, Turkiye.

Dr. Mohammad Obaidah Shaqfeh
Lecturer
Dr. Mohammad Obaidah Shaqfeh
Lecturer
Educational Qualifications
PhD in Research (Digital Communications)
MSc in Communications Technology
Entity
College of Science and Engineering
Biography
Dr Mohammad Shaqfeh is a Lecturer in the College of Science and Engineering at Hamad Bin Khalifa University. He completed his Bachelor’s degree in Electrical Engineering from United Arab Emirates University, an MSc degree in Communications Technology from Ulm University, Germany, and a PhD in Digital Communication from The University of Edinburgh, United Kingdom. In addition to a PhD degree in engineering, Dr Shaqfeh also holds a MicroMasters degree in Artificial Intelligence from Columbia University via edX in 2017, and an MA degree in Islamic Studies from Hamad Bin Khalifa University.
He has more than fifteen years of academic (research and teaching) experience at Texas A&M University at Qatar. His teaching experience spans many courses including Computer Programming and Algorithms, Digital Systems Design, Computer Architecture and Design, Embedded Systems, Electronics, Signals and Systems, and Electricity & Magnetism.
Dr Shaqfeh has long research experience in the fields of wireless communication systems and machine learning. He published scholarly papers in high-impact international journals and conferences and has been the Principal Investigator of eight projects funded by Qatar National Research Funds (QNRF).
PhD in Research (Digital Communications)
The University of Edinburgh, United Kingdom
2009
MSc in Communications Technology
Ulm University, Germany
2005
BSc in Electrical Engineering
United Arab Emirates University, UAE
2003
- Theoretical foundations of machine learning and artificial intelligence
- Distributed and federated learning
- Computer vision for medical applications
- Wireless communication systems
Lecturer
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Visiting Lecturer
Electrical and Computer Engineering, Texas A&M University at Qatar
2019 - Present
Associate Research Scientist
Electrical and Computer Engineering, Texas A&M University at Qatar
2012 - 2022
- Principal investigator in eight projects funded by QNRF with total research grants of more than 3.8 M USD.
- Exemplary reviewer for IEEE Wireless Communications Letters and IEEE Communication Letters.
- The Dean’s Award for the best research fellow at Texas A&M University at Qatar.
- Top student awards in the Master's program at Ulm University, and the Bachelor's program at UAEU.
Dr. Khalid Qaraqe
Professor
Educational Qualifications
PhD in Electrical Engineering
MSc in Electrical Engineering
Entity
College of Science and Engineering
Biography
Dr. Khalid A. Qaraqe is a Professor in the College of Science and Engineering at Hamad Bin Khalifa University. Dr. Qaraqe completed his Bachelors in Electrical Engineering from the University of Technology, Iraq and Masters in Electrical Engineering from the University of Jordan. He earned his PhD in Electrical Engineering from Texas A&M University, College Station, Texas, United States.
From 1989 to 2004, Dr. Qaraqe held various positions in several prominent telecommunication companies and has over 12 years of experience in the telecommunication industry. Dr. Qaraqe has worked on numerous projects and has experience in product development, design, deployments, testing, and integration.
Dr. Qaraqe's research interests include communication theory and its application to wireless communication systems design and performance analysis. His main research interests are mobile networks, broadband wireless access, cooperative networks, cognitive radio, diversity techniques, Index Modulation, Reconfigurable Intelligent Surfaces (RISs), mmWave, THz, Visible Light Communication (VLC), FSO, and telehealth applications.
Dr. Qaraqe has also been awarded over 14 million USD in competitive research grants for his research initiatives. He has published 5 books, 20 book chapters, 5 US patents, and more than 200 journals and 313 conference papers.
PhD in Electrical Engineering
Texas A&M University, College Station, USA
1997
MSc in Electrical Engineering
The University of Jordan, Jordan
1989
BSc in Electrical Engineering
University of Technology, Iraq
1986
- Broadband wireless access
- Lightweight security for wireless networks
- AI and Machine learning for wireless communication
- 6G & beyond systems
Professor
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Professor
Department of Electrical and Computer Engineering, Texas A&M University at Qatar
2009 - 2024
Associate Professor
Department of Electrical and Computer Engineering, Texas A&M University at Qatar
2004 - 2009
Lead Performance Engineer
Qualcomm, San Diego, United States
2002 - 2004
Consultant
Enad Design Systems, United States
2001 - 2002
Principal and Architect Engineer
Cadence Design Systems, United States
1997 - 2001
PhD Student
Texas A&M University College Station, United States
1994 - 1997
Technical Engineer
Ericsson Telecommunication, Saudi Arabia
1989 - 1994
Althunibat, S., Dabiri, M. T., Hasna, M. O., & Qaraqe, K. (2023). Secrecy analysis of directional mmWave UAV-based links under hovering fluctuations. IEEE Open Journal of the Communications Society, 4, 3030–3039.
Doğan-Tusha, S., Tusha, A., Althunibat, S., & Qaraqe, K. (2023). Orthogonal time frequency space multiple access using index modulation. IEEE Transactions on Vehicular Technology, 72(12), 15858–15866.
Alaca, O., Althunibat, S., Yarkan, S., Miller, S. L., & Qaraqe, K. A. (2023). Secrecy analysis of uplink IM-OFDMA systems in the presence of IQ imbalance. IEEE Transactions on Vehicular Technology, 72(11), 14411–14425.
El Bouanani, F., Lahmar, I., Alaoui Ismaili, Z. E. A., & Qaraqe, K. A. (2023). On the secrecy analysis of dual-hop SWIPT-based multi-source underlay cognitive radio networks. IEEE Transactions on Cognitive Communications and Networking, 9(1), 114–129.
Labghough, S., Ayoub, F., El Bouanani, F., Belkasmi, M., & Qaraqe, K. A. (2023). Mixed RF/FSO SWIPT-based OSLMD coded AF cooperative communication system: Performance analysis. IEEE Transactions on Green Communications and Networking, 7(1), 84–100.
Complete Publication Listing(s): Google Scholar | DBLP
- Best paper award, IEEE Globecom 2014.
- Best Researcher Award, QNRF, May 2013.
- Itochu Professorship Award, 2013-2015.
- TAMUQ Research Excellence Award in April of 2010.
- IEEE Signal Processing Magazine Best Column Award for year 2018 for paper titled: ``Gaussian Assumption: The Least Favorable but the Most Useful”, published in the March, 2013 issue of the prestigious IEEE Signal Processing Magazine (IF=7.451).
Pagination
- Previous page
- Page 21
- Next page








