Waleed Algriree | Engineering | Editorial Board Member
Dijlah University, Iraq
Waleed Algriree is an engineering researcher whose published work addresses wireless communications, 5G and emerging 6G systems, signal detection, spectrum sensing, optical-fibre communications, wireless power transfer, and related communication technologies. His publication record includes studies of MIMO, OFDM, F-OFDM, UFMC, cognitive radio, hybrid filtering, and Internet of Things security. Recent publications also connect communication engineering with electric-vehicle wireless power transfer and biomedical sensing. His documented editorial and reviewing activities further indicate participation in scholarly communication and peer-review activities within engineering and technology research. [1] [2]
Abstract
Waleed Algriree is an engineering researcher whose work spans wireless communications, 5G and 6G technologies, signal detection, spectrum sensing, optical fibre communication, Internet of Things security, and wireless power transfer. His publications examine communication-system architectures, hybrid filtering, MIMO waveforms, cognitive-radio techniques, and algorithms designed to improve detection performance and computational efficiency. Recent collaborative research extends these interests toward electric-vehicle wireless charging and biomedical sensing. His documented scholarly activities include journal and conference publications, reviewing, and editorial participation. The research profile therefore reflects an interdisciplinary engineering focus connecting communication theory, signal processing, networking, sensing, and emerging technology applications. [1] [3]
Keywords
5G; 6G; wireless communications; MIMO; OFDM; F-OFDM; UFMC; cognitive radio; spectrum sensing; hybrid filtering; signal detection; optical fibre; NOMA; Internet of Things; wireless power transfer; electric vehicles; digital communications; communication systems; signal processing.
Introduction
Waleed Algriree has developed a publication record primarily within electrical, electronic, communication, and related engineering fields. His research addresses technical challenges associated with high-data-rate wireless systems, spectrum utilization, signal detection, and communication reliability. Bibliographic records identify contributions involving 5G-MIMO systems, hybrid-filter detection, F-OFDM, spectrum sensing, and quadrature-amplitude-modulation detection. [2] [4]
Research Profile
Waleed Algriree works across communication engineering and signal-processing applications, with particular emphasis on wireless communication technologies. His documented research includes 5G waveform analysis, MIMO communication, cognitive radio, spectrum sensing, and detection methods. A 2026 publication also reports work involving optical-fibre transmission and MIMO-NOMA waveform detection, illustrating the continued application of signal-processing techniques to advanced communication environments. [3]
Research Contributions
Waleed Algriree has contributed to studies examining low-complexity communication-system designs, hybrid-filter detection, MIMO signal sensing, and emerging waveform technologies. His collaborative research has also considered wireless power-transfer compensation for electric vehicles, where LCCL–LC topologies were evaluated under varying coupling and load conditions. These publications demonstrate applications of communication and electrical-engineering methods to both telecommunications and emerging mobility technologies. [4] [5]
Publications
Waleed Algriree has published research covering several interconnected areas of engineering. Representative publications include an analysis of low-complexity 5G-MIMO communication systems using cognitive-radio hybrid-filter detection, research on 5G-MIMO systems using centralized cooperative and non-cooperative users, and a study of hybrid-filter detection for multi-user MIMO F-OFDM. Other documented work includes the impact of M-ary rates on QAM detection and recent research on optical-fibre-based 5G waveform detection. [2] [3]
Waleed Algriree is also a co-author of research on LCCL–LC compensation for wireless power transfer in electric-vehicle systems. The article evaluates power-transfer efficiency and output-voltage stability under changes in coupling coefficient and load resistance, connecting electrical power-transfer engineering with transportation applications. [5]
Research Impact
Waleed Algriree has a documented research record involving peer-reviewed journal and conference publications in communication and engineering venues. Public bibliographic sources report contributions across 5G communications, signal detection, spectrum sensing, optical communications, IoT, and wireless power-transfer systems. The supplied research metrics identify 13 documents, 53 citations, and an h-index of 5; these figures should be understood as database-specific measurements that can change as indexing and citation records are updated.
Award Suitability
Waleed Algriree has a research profile relevant to an international research-scientist recognition program because his documented scholarly work covers contemporary engineering subjects including 5G and 6G communications, MIMO systems, signal detection, spectrum sensing, optical fibre communication, IoT, and wireless power transfer. His publication and peer-review activities provide identifiable scholarly contributions that can be considered within an engineering-focused award framework. [1] [2]
Conclusion
Waleed Algriree is an engineering researcher whose published work encompasses wireless communication, advanced cellular systems, signal processing, spectrum sensing, optical communications, IoT, and electrical-power applications. His research collaborations demonstrate an interest in applying analytical and computational techniques to communication-system performance and emerging engineering technologies. The documented publication, citation, and scholarly-service information provides a factual basis for describing his academic and professional research profile.
External Links
References
- Scopus. (n.d.). Scopus author details: Waleed Algriree, Author ID 57755648000. Elsevier.
https://www.scopus.com/authid/detail.uri?authorId=57755648000
- Algriree, W., Sulaiman, N., Isa, M., Sahbudin, R. K. Z., Hassan, S. L. M., & Salman, E. H. (2023). An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection. Alexandria Engineering Journal, 65, 627–648.
https://www.sciencedirect.com/science/article/pii/S1110016822007062
- Yaseen, Z. T., & Algriree, W. (2026). Reliable 5G waveform detection from an optical fibre transmitter system. Opto-Electronics Review, 32(1), e149181.
https://doi.org/10.24425/opelre.2024.149181
- Algriree, W., Alsheakh, H., Sulaiman, N., Isa, M., Sahbudin, R. K. Z., Hassan, S. L. M., & Salman, E. H. (2023). Validation hybrid filter detection for Multi-User multiple input multiple output F-OFDM by Universal software radio Peripheral. Alexandria Engineering Journal, 74, 241–268.
https://doi.org/10.1016/j.aej.2023.04.033
- Alghrairi, M. K., Mutashar, S., Algriree, W., Ridha, H. M., & Sabbar, B. M. (2024). Design and Analysis LCCL–LC Compensation for Electric Vehicle Systems. Advances in Science and Technology Research Journal, 18(4), 273–281.
https://doi.org/10.12913/22998624/189465