الدكتور محمد عبيدة شقفة

محاضر

البريد الإلكتروني

moshaqfeh@hbku.edu.qa

موقع المكتب

Manufactory – 241A

الدكتور محمد عبيدة شقفة

محاضر

المؤهلات العلمية

PhD in Research (Digital Communications)

MSc in Communications Technology

الكيان

كلية العلوم والهندسة

السيرة الذاتية

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

Keçeci, C., Shaqfeh, M., Al-Qahtani, F., Ismail, M., & Serpedin, E. (2023). Clustered scheduling and communication pipelining for efficient resource management of wireless federated learning. IEEE Internet of Things Journal, 10(15), 13303–13316.

Hayajneh, A., Shaqfeh, M., Serpedin, E., & Stotland, M. A. (2023). Unsupervised anomaly appraisal of cleft faces using a StyleGAN2-based model adaptation technique. PLOS ONE, 18(8), e0288228.

Omri, A., Shaqfeh, M., Ali, A., & Alnuweiri, H. (2019). Synchronization procedure in 5G NR systems. IEEE Access, 7, 41286–41295.

Shaqfeh, M., Zafar, A., Alnuweiri, H., & Alouini, M.-S. (2016). Maximizing expected achievable rates for block-fading buffer-aided relay channels. IEEE Transactions on Wireless Communications, 15(9), 5919–5931.

Zafar, A., Shaqfeh, M., Alouini, M.-S., & Alnuweiri, H. (2013). On multiple users scheduling using superposition coding over Rayleigh fading channels. IEEE Communications Letters, 17(4), 733–736.

  • 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.