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Dr. Harris Rabbani
Assistant Professor
Educational Qualifications
PhD in Chemical Engineering
M.Eng in Petroleum Engineering
Entity
College of Science and Engineering
Biography
Dr. Harris Rabbani is an Assistant Professor at Hamad Bin Khalifa University’s College of Science and Engineering. He received his Master's in Petroleum Engineering in 2014 and completed his PhD in Chemical Engineering from the University of Manchester in 2018.
Dr. Rabbani is an expert in multiphase flow through porous media, with key research interests in CO2 storage, hydrogen storage, enhanced oil recovery, and soil remediation. His research focuses on addressing critical challenges in energy and environmental engineering, particularly in carbon sequestration and sustainable energy solutions. To do so, Dr. Rabbani employs a combination of numerical simulations and experimental work using state-of-the-art facilities.
Dr. Rabbani has established the MicroFluidFlow lab, which houses advanced experimental equipment, including a microfluidics fabrication setup, HPTP (High Pressure, High Temperature) microfluidics rig, confocal microscopy, and a fluorescence microscope. This lab enables cutting-edge research in fluid dynamics at the micro-scale.
He has authored numerous publications in leading scientific journals such as PNAS, JCIS, and Nature Scientific Reports, and has presented his work at prestigious conferences, including SPE, Interpore, and EAGE. His innovative work has also led to a patent awarded by the USPTO for advancements in multiphase flow through porous media.
PhD in Chemical Engineering
University of Manchester, United Kingdom
2018
M.Eng in Petroleum Engineering
University of Manchester, United Kingdom
2014
- CO2 and Hydrogen storage
- Enhanced oil recovery
- Microfluidics
- Artificial Intelligence
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Engineering Assistant Professor
Petroleum Engineering, Texas A&M University at Qatar
2022 - 2024
Visiting Lecturer
Petroleum Engineering, Texas A&M University at Qatar
2020 - 2022
Postdoctoral Research Associate
Petroleum Engineering, Texas A&M University at Qatar
2018 - 2020
- Early Career Excellence Award, Texas A&M University at Qatar 2024
- Faculty of the Year, Aggie Achievement Awards 2022
- President's Doctoral Scholar Award, (given only to the top 3% of the PhD applicants)
Dr. Hazem Nounou
Professor
Educational Qualifications
PhD in Electrical Engineering
MS in Electrical Engineering
Entity
College of Science and Engineering
Biography
Hazem Nounou is a Professor and Program Chair of the Electrical Engineering Program at the College of Science and Engineering. He received his BS degree from Texas A&M University in 1995, and MS and PhD degrees in electrical engineering from The Ohio State University in 1997 and 2000. In 2001, he worked as a Development Engineer at PDF Solutions, Inc. in San Jose, California, USA. In 2001, he joined the Department of Electrical Engineering at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia as an assistant professor.
In 2002, he moved to the Department of Electrical Engineering at the United Arab Emirates University in Al-Ain. In 2007, he joined the Electrical and Computer Engineering Program at Texas A&M University at Qatar where he was Professor and Senior Associate Dean for undergraduate studies and student success. He has received several awards, including the Texas A&M University Association of Former Students College-level Distinguished Achievement Award in Teaching in 2014, the Itochu Professorship from 2015-2017 and the Texas A&M at Qatar Faculty Excellence Award in 2015 for Excellence in teaching, research, and service. His research interests are in the areas of systems and control engineering.
PhD in Electrical Engineering
The Ohio State University, United States
2000
MS in Electrical Engineering
The Ohio State University, United States
1997
BS in Electrical Engineering
Texas A&M University, College Station, United States
1995
- Data-based modeling, estimation, and control
- Monitoring and fault detection
- Adaptive and intelligent control
- Model-based predictive control
Professor
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Program Chair - Electrical Engineering
Electrical and Computer Engineering, Hamad Bin Khalifa University
2024 - Present
Senior Associate Dean
Texas A&M University at Qatar
2023 - 2024
Associate Dean
Texas A&M University at Qatar
2021 - 2023
Assistant Dean
Texas A&M University at Qatar
2018 - 2021
Itochu Professor
Electrical and Computer Engineering, Texas A&M University at Qatar
2015 - 2017
Professor
Electrical and Computer Engineering, Texas A&M University at Qatar
2014 - 2024
Associate Professor
Electrical and Computer Engineering, Texas A&M University at Qatar
2009 - 2014
Assistant Professor
Electrical and Computer Engineering, Texas A&M University at Qatar
2007 - 2009
Assistant Professor
Electrical Engineering, United Arab Emirates University, United Arab Emirates
2002 - 2007
Assistant Professor
Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia
2001 - 2002
Development Engineer
PDF Solutions, Inc., United States
2000 - 2001
Graduate Research Associate
Electrical Engineering Department, The Ohio State University, United States
1996 - 2000
Attouri, K., Mansouri, M., Hajji, M., Kouadri, A., Bensmail, A., Bouzrara, K., & Nounou, H. N. (2024). Improved fault detection based on kernel PCA for monitoring industrial applications. Journal of Process Control, 133.
Basha, N., Kravaris, C., Nounou, H. N., & Nounou, M. N. (2023). Bayesian-optimized Gaussian process-based fault classification in industrial processes. Computers & Chemical Engineering, 170, Article 108126.
Mansouri, M., Dhibi, K., Hajji, M., Bouzrara, K., Nounou, H. N., & Nounou, M. N. (2022). Interval-valued reduced RNN for fault detection and diagnosis for wind energy conversion systems. IEEE Sensors Journal, 22(13), 13581–13588.
Mansouri, M., Fezai, R., Trabelsi, M., Nounou, H. N., Nounou, M. N., & Bouzara, K. (2021). Reduced Gaussian process regression-based random forest approach for fault diagnosis of wind energy conversion systems. IET Renewable Power Generation, 15(11), 3612–3621.
Mansouri, M., Harkat, M.-F., Nounou, H. N., & Nounou, M. N. (2020). Data-driven and model-based methods for fault detection and diagnosis. Elsevier. ISBN: 9780128191644
Complete Publication Listing(s): Google Scholar
- Dean’s Leadership Award, Texas A&M University at Qatar, 2022.
- Holder of Itochu Professorship, Texas A&M University at Qatar, 2015-2017.
- Faculty Excellence Award, Texas A&M University at Qatar, 2015.
- Association of Former Students (AFS) College-level Distinguished Achievement Award in Teaching, Texas A&M University, 2014.
- Undergraduate Scholarships: Advanced Micro Devices (AMD) Company scholarship and Electrical Engineering department scholarship, Texas A&M University, 1994-5.

Dr. Muhammad Shamsul Arefeen Zilany
Assistant Professor
Dr. Muhammad Shamsul Arefeen Zilany
Assistant Professor
Educational Qualifications
PhD in Electrical and Computer Engineering
MSc in Electrical and Electronic Engineering
Entity
College of Science and Engineering
Division
Information & Computing technology
Biography
Dr. Muhammad Zilany is an Assistant Professor at the College of Science and Engineering at Hamad Bin Khalifa University. He earned his PhD in Electrical and Computer Engineering from McMaster University, Ontario, Canada, in 2007. He held academic positions at the University of Malaya, the University of Hail, and Texas A&M University at Qatar before joining the Electrical Engineering Program at HBKU in 2024.
His research focuses on auditory neuroscience, encompassing computational modeling, physiological recordings, and psychophysical studies of the auditory system. Dr. Zilany is currently a Chartered Engineer with the Institution of Engineering and Technology (IET) in the UK, and he is also a member of the Association for Research in Otolaryngology (ARO) and the American Society for Engineering Education (ASEE).
PhD in Electrical and Computer Engineering
McMaster University, Canada
2007
MSc in Electrical and Electronic Engineering
Bangladesh University of Engineering and Technology, Bangladesh
2002
BSc in Electrical & Electronic Engineering
Bangladesh University of Engineering and Technology, Bangladesh
1999
- Computational modeling of the auditory system
- Physiological recordings and psychophysical studies of the auditory system
- Audio
- speech
- and language processing
- Signal processing for hearing aids and cochlear implants
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Instructional Assistant Professor
Electrical and Computer Engineering Program, Texas A&M University at Qatar
2019 - 2024
Assistant Professor
College of Computer Science and Engineering, University of Hail, Saudi Arabia
2017 - 2018
Senior Lecturer
Department of Biomedical Engineering, University of Malaya, Malaysia
2012 - 2016
Postdoctoral Research Associate
Departments of Biomedical Engineering and Neuroscience, University of Rochester, United States
2008 - 2011
Complete Publication Listing(s): Google Scholar
Dr. Peter Desmond
Assistant Professor
Educational Qualifications
PhD in Environmental Engineering
MSc in Biotechnology and Business
Entity
College of Science and Engineering
Division
Sustainable Development
Biography
Dr. Peter Desmond is an Assistant Professor in the College of Science and Engineering at Hamad Bin Khalifa University. He holds a PhD in Environmental Engineering from ETH Zurich, where his research centered on water process engineering. In the College of Science and Engineering, he leads the environmental process engineering group within the sustainability division. His work is organized around three key research pillars: (i) Waste2Resource—Water reuse, Microbial Protein, and Bioplastic Production (ii) Seawater Desalination—Seawater pretreatment, Seawater Reverse Osmosis (SWRO), Biofouling Management, and (iii) Water Distribution: Online water quality monitoring of potable and nonpotable water distribution. The central focus is reevaluating conventional microbial processes in water treatment and distribution systems under the region-specific conditions relevant to the State of Qatar. This is achieved by close alignment with local end-users e.g., Kahramaa, Acciona, and ConocoPhillips, as a knowledge enabler of Qatar's National Water Strategy (NWS) 2030.
Before joining HBKU in 2023, Dr. Desmond was a research group leader at RWTH-Aachen University, Germany, where he was the inaugural recipient of the Junior Principal Investigator Fellowship from RWTH-Aachen’s German University Excellence Initiative in 2021. His research profile is complimented by his industrial experience, as he served as Lead Process Development Engineer at MMS Membrane Systems, Switzerland.
PhD in Environmental Engineering
ETH Zurich, Switzerland
2018
MSc in Biotechnology and Business
University College Dublin (UCD), Ireland
2013
BA in Molecular Microbiology
Trinity College Dublin (TCD), Ireland
2012
- Urban water management
- Seawater desalination
- Water distribution
- Water and bioresource recovery
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2023 - Present
Research Group Leader
Institute of Environmental Engineering, RWTH-Aachen University, Germany
2021 - 2025
Lead Research and Development Engineer
Process Development Laboratory, MMS Membrane Systems, Switzerland
2018 - 2021
Graduate Research Engineer
Process Engineering Department, ETH Zurich, Switzerland
2014 - 2018
Li, Z., Orlando, A., Müller, S. I., Amman, E., Ding, A., & Desmond, P. (2023). Leaching of dissolved organic carbon from commercial reverse osmosis membranes exacerbates interferences in organic solute rejection during bench-scale filtration. Desalination, 550, 116383.
Ren, Z., Cao, H., Desmond, P., Liu, B., Ngo, H. H., He, X., ... & Ding, A. (2023). Ions play different roles in virus removal caused by NOMs in UF process: Removal efficiency and mechanism analysis. Chemosphere, 313, 137644.
Desmond, P., Huisman, K. T., Sanawar, H., Farhat, N. M., Traber, J., Fridjonsson, E. O., ... & Vrouwenvelder, J. S. (2022). Controlling the hydraulic resistance of membrane biofilms by engineering biofilm physical structure. Water Research, 210, 118031.
Jafari, M., Desmond, P., van Loosdrecht, M. C., Derlon, N., Morgenroth, E., & Picioreanu, C. (2018). Effect of biofilm structural deformation on hydraulic resistance during ultrafiltration: A numerical and experimental study. Water Research, 145, 375–387.
Desmond, P., Best, J. P., Morgenroth, E., & Derlon, N. (2018). Linking composition of extracellular polymeric substances (EPS) to the physical structure and hydraulic resistance of membrane biofilms. Water Research, 132, 211–221.
Complete Publication Listing(s): Google Scholar
- 2024; Harbin Institute of Technology Visiting Scholar
- 2022; Best Oral Presentation, International Water Association, Biofilm Conference
- 2021; Junior Principal Investigator Fellowship, RWTH-Aachen, German University Excellence Initiative
Dr. Selma K E Awadallah
Assistant Professor
Educational Qualifications
PhD Electrical and Electronics Engineering
MSc Electrical Power Systems Engineering
Entity
College of Science and Engineering
Biography
Dr. Selma Awadallah is an Assistant Professor in the College of Science and Engineering of Hamad Bin Khalifa University. She has also worked as an Engineering Assistant Professor at Texas A&M University at Qatar. She received her BSc degree from the University of Khartoum in Sudan and her MSc and PhD degrees from The University of Manchester. After her PhD, she worked as a Research Fellow at the University of Manchester.
Dr. Awadallah has a diverse academic and industry background. Her professional journey includes roles such as Senior Power System Engineer at National Grid UK and Senior Engineer for Renewable Integration at Neom Energy and Water, Saudi Arabia. She is also an active member of the IEEE Power and Energy Society and has received multiple awards, including being a runner-up for National Grid Female Engineer of the Year in 2020. In addition to her academic and professional roles, she is dedicated to community outreach and is registered as a chartered engineer with the Engineering Council, United Kingdom.
PhD Electrical and Electronics Engineering
The University of Manchester, United Kingdom
2014
MSc Electrical Power Systems Engineering
The University of Manchester, United Kingdom
2010
BSc Electrical and Electronics Engineering
University of Khartoum, Sudan
2003
- Grid renewable integration
- Transformer condition scoring and lifetime management
- Power system reliability and resiliency
- Data analytics in power systems
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2024 – Present
Engineering Assistant Professor
Electrical and Computer Engineering, Texas A&M University at Qatar
2023 - 2024
Senior Engineer - Renewable Integration
Neom Energy and Water, Neom, Saudi Arabia
2021 - 2022
Senior Power System Engineer
System Design, National Grid Electricity Transmission, United Kingdom
2015 - 2021
Research Fellow
School of Electrical and Electronics Engineering, The University of Manchester, United Kingdom
2014 - 2015
Electrical Engineer
Low Voltage Department, National Electricity Corporation, Sudan
2004 - 2011
Tayyab, M., & Awadallah, S. (2024). Investigation of virtual synchronous generator control parameters for small signal stability at different levels of renewable resource penetration. Proceedings of the 4th International Conference on Smart Grid and Renewable Energy (SGRE24), Doha, Qatar.
Awadallah, S. K. E., Mohanty, S., & Ghassemi, F. (2023). Transient overvoltage transfer and amplification in a 400 kV network – A case study. Electric Power Systems Research, 223, 109583.
Awadallah, S. K. E., Milanović, J. V., & Jarman, P. N. (2016). Quantification of uncertainty in end-of-life failure models of power transformers for transmission systems reliability studies. IEEE Transactions on Power Systems, 31(5), 4047–4056.
Awadallah, S. K. E., Milanović, J. V., & Jarman, P. N. (2015). The influence of modeling transformer age-related failures on system reliability. IEEE Transactions on Power Systems, 30(2), 970–979.
Awadallah, S. K. E., Milanović, J. V., & Jarman, P. N. (2014). Reliability-based framework for cost-effective replacement of power transmission equipment. IEEE Transactions on Power Systems, 29(5), 2549–2557.
- 2020; Runner-up for National Grid Female Engineer of the Year Award
- 2015; Research presentation winner to represent The University of Manchester at Seminar for Next Generation Researchers in Power Systems held at the University of Washington, Seattle, United States
- 2011; PhD scholarship funded by National Grid, United Kingdom
- 2009; MSc scholarship funded by National Electricity Corporation, Sudan
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
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).
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