Marwa Qaraqe | Hamad Bin Khalifa University
Hamad Bin Khalifa University


Marwa Qaraqe

Dr. Marwa Qaraqe (PhD)

Associate Professor
Information & Computing Technology
College of Science and Engineering

  • Phone+974 44546645
  • Office locationA036-C LAS Building


Dr. Marwa K. Qaraqe joined HBKU as an Assistant Professor. She received her Ph.D. and Master of Science degree in Electrical Engineering from Texas A&M University in College Station, Texas, USA. She graduated Summa Cum Laude from Texas A&M University.

Dr. Qaraqe's work in machine learning and signal processing includes predictive analytics for health, as well as security related problems, such as the development of robust predictive models for the early detection of diabetes, epileptic seizures, and stress, and measuring attention in children with autism spectrum disorder via eye-tracking. In the area of machine learning and security, Dr. Qaraqe works on the development of AI-based models for the detection of malicious or compromised users within a network. 

Dr. Qaraqe also serves as a reviewer to several IEEE and technical international journals and conferences, including the IEEE Wireless Communication and Networking Conference (WCNC), and the IEEE Wireless Communication magazine, and sits on the IEEE Wireless Technical Committee on Wireless Communications.


Research Interests

  • Physical Layer Security
  • Federated Learning
  • Resource Allocation
  • Machine Learning and Data Analytics
  • Predictive Analytics
  • Signal Processing of Physiological Signals


Assistant Professor

CSE; Hamad Bin Khalifa University

July 2016 - Present
  • Research Assistant

    Texas A&M University, College Station, Texas, USA

    Aug 2010 – May 2016


PhD - Electrical Engineering

Texas A&M University, USA

  • MSc - Electrical Engineering

    Texas A&M University, USA

  • BSc - Electrical Engineering

    Texas A&M University at Qatar, Qatar


Selected Publications

  • M. Qaraqe, S. Althunibat, O. Badarneh, and R. Mesleh

    “Performance Analysis of Chirp Spread Spectrum System under Mobility Scenario,” Physical Communications, 2020.

  • M. Usman, M. Qaraqe, MR. Asghar, and IS. Ansari

    “Mitigating Distributed Denial of Service Attack in Satellite Networks.” Transactions on Emerging Telecommunications Technologies (ETT), 2020.

  • V. Sharma, D. Jayakody, M. Qaraqe

    “Osmotic Computing based Service Migration and Resource Scheduling in Mobile Augmented Reality Networks,” Future Generation Computer Systems, vol. 102, pp. 723-737, 2020.

  • M. Usman, M. Qaraqe, M. R. Asghar, I. S. Ansari, and F. Granelli

    “Modeling the Energy Consumption of Multi-hop D2D Networks”, IEEE Global Communication Conference (GLOBECOM’20), 2020.

  • R. Hamdi, M. Qaraqe, S. Althunibat

    “Dynamic Spreading Factor Assignment in LoRa Wireless Networks,” IEEE International Conference on Communications (IEEE ICC 2020), Dublin, Ireland, 7-11 June 2020.

  • A. Abushattal, S. Althunibat, M. Qaraqe, and H. Arslan

    “On the Inherent Physical-Layer Security of receive Spatial Modulation Systems,” IEEE International Symposium on Personal Indoor and Mobile Radio Communications, 2020.

  • R. Hamdi and M. Qaraqe

    "Power Allocation and Cooperation in Cell-Free Massive MIMO Systems with Energy Exchange Capabilities," IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020.

  • R. Hamdi, M. Qaraqe

    “Energy Cooperation in Renewable-Powered Cell-Free Massive MIMO Systems,” IEEE Asia-Pacific Conference on Communications (IEEE APCC 2019), Ho Chi Minh city, Vietnam, 6-8 Nov. 2019.

  • A. Sodhro, M. Obaidat, M. Qaraqe, Q. Abbasi, and S. Pirbhulal

    “A Novel QoS Optimization Approach in IoT Driven Intelligent Transportation System,” IEEE Wireless Communications, vol. 26, no. 6, pp. 10-17, 2019.

  • M. Usman, M. Qaraqe, MR. Asghar, and IS. Ansari

    “Process Mining for Learning User Privacy in D2D and IoT Networks.” Springer Informatik Spektrum, vol. 42, no. 5, pp. 340-342, 2019.

  • M. Qaraqe, Q. Abbasi, E. Serpedin, A. Alomainy

    “Experimental Evaluation of MIMO Capacity for Ultra Wideband Body-Centric Wireless Propagation Channels,” in IEEE Antennas and Wireless Propagation Letters, vol. 13, pp. 495-498, 2014.

  • M. Qaraqe, M. Abdallah, E. Serpedin, and M.S. Alouini

    “Performance Analysis of Switch-based Multiuser Scheduling Schemes with Adaptive Modulation in Spectrum Sharing Systems,” in Wireless Communications and Mobile Computing, 2014.

  • Q. Abbasi, M. Qaraqe, E. Serpedin, and A. Alomainy

    “Ultra wideband radio channel characterization and system modelling for BANs,” State-of-the-Art in Body-Centric Wireless Communication and Associated Applications.

  • M. Qaraqe, M. Usman, K. Ahmad, A. Sohail, and A. Boyaci

    "Automatic food recognition system for middle-eastern cuisines," IET Image Processing, vol. 14, no. 11, 2020.

  • M. Sqalli, D. Al-Thani, M. Qaraqe

    “Perspectives on Human-AI Interaction in the Management of Chronic Diseases: Between Milestones and Hurdles,” Multiple Perspectives on Artificial Intelligence in Healthcare: From Challenges to Opportunities, 2020.

  • S. Islam, H. Abbas, M. Erraguntla, M. Abdul-Ghani, and M. Qaraqe

    “Predicting the Future Progression of Type- 2 Diabetes by Applying Ensemble of Machine Learning Approaches,” IEEE Access, 2020.

  • S. Elzainy and M. Qaraqe

    "Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images." Sensors, vol. 20, no. 18, 2020.

  • B. Banire, K. Khowaja, B. Mansoor, M. Qaraqe, and D. Al-Thani

    “Reality-Based Technologies for Children with Autism Spectrum Disorder: A Recommendation for Food Intake Intervention,” Personalized Food Intervention and Therapy for Autism Spectrum Disorder, Springer, pp. 679-693, 2019.

  • B. Banire, D. Al-Thani, M. Qaraqe, B. Mansoor, and M. Mustapha

    "Impact of mainstream classroom setting on attention of children with autism spectrum disorder: An eye-tracking study," Universal Access in the Information Society, 2020.

  • M. Qaraqe, M. Ismail, E. Serpedin, and H. Zulfi

    “Epileptic seizure onset detection based on EEG and ECG data fusion,” Epilepsy and Behavior, vol. 58, pp. 48-60, 2016.

  • M. Qaraqe, M. Ismail, and E. Serpedin

    “Band-sensitive seizure onset detection via CSP-enhanced EEG features,” Epilepsy and Behavior, no. 50, pp. 77-87, 2015.