Research output per year
Research output per year
Personal profile
Biography
Mohammad Shaqfeh received the B.Sc. degree in electrical engineering (communications stream) from United Arab Emirates University in 2003, the M.Sc. degree in communications technology from Ulm University, Ulm, Germany, in 2005, and the Ph.D. degree in digital communication from The University of Edinburgh, Edinburgh, U.K., in 2009. In addition to Ph.D. degree in engineering, Dr Shaqfeh also holds MicroMasters degree on Artificial Intelligence from Columbia University via edX in 2017, and M.A. degree on Islamic Studies from Hamad Bin Khalifa University, Qatar, in 2018.
Dr Shaqfeh joined the College of Science and Engineering in Hamad Bin Khalifa University in August 2024. Prior to that, he had more than fifteen years of academic (research and teaching) experience at Texas A&M University at Qatar.
Dr Shaqfeh has long research experience in the fields of wireless communication systems, and in machine learning. He published scholarly papers in high-impact international journals and conferences, and he has been Principal Investigator of eight projects funded by Qatar National Research Funds (QNRF).
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Collaborations and top research areas from the last five years
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Adapting a style based generative adversarial network to create images depicting cleft lip deformity
Hayajneh, A., Serpedin, E., Shaqfeh, M., Glass, G. & Stotland, M. A., Dec 2025, In: Scientific Reports. 15, 1, 3614.Research output: Contribution to journal › Article › peer-review
Open Access -
Clustered Scheduling and Communication Pipelining for Efficient Resource Management of Wireless Federated Learning
Kececi, C., Shaqfeh, M., Al-Qahtani, F., Ismail, M. & Serpedin, E., 1 Aug 2023, In: IEEE Internet of Things Journal. 10, 15, p. 13303-13316 14 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Unsupervised anomaly appraisal of cleft faces using a StyleGAN2-based model adaptation technique
Hayajneh, A., Shaqfeh, M., Serpedin, E. & Stotland, M. A., Aug 2023, In: PLoS ONE. 18, 8 August, e0288228.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Gauging Facial Abnormality Using Haar-Cascade Object Detector
Takiddin, A., Shaqfeh, M., Boyaci, O., Serpedin, E. & Stotland, M., 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc., p. 1448-1451 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Toward a Universal Measure of Facial Difference Using Two Novel Machine Learning Models
Takiddin, A., Shaqfeh, M., Boyaci, O., Serpedin, E. & Stotland, M. A., 18 Jan 2022, In: Plastic and Reconstructive Surgery - Global Open. 10, 1, p. E4034Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus)