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Profile

College / Department

College of Engineering

Department of Computer Science and Engineering

Teaching areas

Machine Learning, Wireless Communication, Probability and Statistics, Digital Systems

Research areas

Machine Learning, Information Theory, Wireless Communication

Education

PhD, Electrical Engineering And Computer Science, Massachusetts Institute of Technology, United States, 2023

MS, Electrical Engineering And Computer Science, Massachusetts Institute of Technology, United States, 2018

BS, Electrical Engineering, Khalifa University, United Arab Emirates, 2015

Professional experience

Assistant Professor, Computer Science & Engineering, American University of Sharjah, 2023 - Present

Memberships

IEEE, International, Senior Member, 2013

Contact

[email protected]

Dr. Mohamed Alhajri

Assistant Professor

PhD, Massachusetts Institute of Technology, United States

Dr. Mohamed AlHajri research comes at the intersection of machine learning, information theory, and wireless communications, where he focuses on the analysis and design of low-complexity inference algorithms, analysis of wireless communication systems, and on real-time processing of large datasets of complex systems. Dr. AlHajri has been a Member of the Technical Program Committees of numerous IEEE conferences including MMS'2016, GlobalSIP'2018, and WCNC’2024. He is recipient of several awards and honors including IEEE EESC’2014 First Place Award, ICCSPA'2015 Best Student Poster Award, and IEEE UAE Award of the Year (2020). He was selected as a founding member of the Emirates Youth Council, a federal entity within the UAE Government.

Publications

Ahmed Benaya, Mohamed Hassan, Mahmoud Ismail, Taha Landolsi And Mohamed Alhajri. Outage Analysis for a HAPS-Mounted IRS-Assisted Multi-User Communication System, July (3rd Quarter/Summer) 2024

Mohamed Alhajri, Raed Shubair And Marwa Chafii. Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach, 2021

Zhenghua Chen, Mohamed Alhajri, Min Wu, Nazar Ali And Raed Shubair. A novel real-time deep learning approach for indoor localization based on rf environment identification, Ieee Sensors Letters, 2020

Mohamed Alhajri, Nazar Ali And Raed Shubair. Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach, Ieee Antennas And Wireless Propagation Letters, 2019

Mohamed Alhajri, Nazar Ali And Raed Shubair. A machine learning approach for the classification of indoor environments using RF signatures, 2018

Mohamed Alhajri, Nazar Ali And Raed Shubair. Classification of Indoor Environments for IoT Applications: A Machine Learning Approach, Ieee Antennas And Wireless Propagation Letters, 2018

Mohamed Alhajri, N Alsindi, Nt Ali And Rm Shubair. Classification of indoor environments based on spatial correlation of RF channel fingerprints, 2016

Menna El Shorbagy, Raed Shubair, Mohamed Alhajri And Nazih Mallat. On the design of millimetre-wave antennas for 5G, 2016

A Goian, Mohamed Alhajri, Raed Shubair, L Weruaga, Ahmed Kulaib, R Almemari And M Darweesh. Fast detection of coherent signals using pre-conditioned root-MUSIC based on Toeplitz matrix reconstruction, 2015

Mohamed Alhajri, A Goian, M Darweesh, R Almemari, Rm Shubair, L Weruaga And Ar Kulaib. Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment, 2015

Conference Presentations

Outage Analysis for a HAPS-Mounted IRS-Assisted Multi-User Communication System, 6th International Conference On Communications, Signal Processing, And Their Applications (iccspa'24), July 2024