Waleed Algriree | Engineering | Editorial Board Member

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Waleed Algriree | Engineering | Editorial Board Member

 Dijlah University, Iraq

Waleed Algriree
Affiliation Dijlah University
Country Iraq
Scopus ID 57755648000
Documents 13
Citations 53
h-index 5
Subject Area Engineering
Event International Research Scientist Awards
ORCID 0000-0003-0176-7599

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.

References

  1. Scopus. (n.d.). Scopus author details: Waleed Algriree, Author ID 57755648000. Elsevier.
    https://www.scopus.com/authid/detail.uri?authorId=57755648000
  2. 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
  3. 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
  4. 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
  5. 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

Xingyu Zhou | Engineering | Research Excellence Award

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Prof. Xingyu Zhou | Engineering | Research Excellence Award

Assistant Professor | Beijing Institute of Technology | China

Prof. Xingyu Zhou is an Associate Professor at the School of Mechanical Engineering, Beijing Institute of Technology, China, specializing in renewable energy systems and electric vehicle (EV) powertrain optimization. His research integrates deep learning, stochastic modeling, and co-optimization techniques to enhance EV efficiency, safety, and ecological performance. He has authored 30 publications, cited over 494 Citations, and maintains collaborations with 36 co-authors, contributing to high-impact journals such as Applied Energy and Journal of Power Sources. Prof. Zhou’s work on predictive speed planning, powertrain energy management, and renewable energy integration advances sustainable transportation solutions, promoting environmentally responsible and technologically innovative mobility systems globally.

Citation Metrics (Scopus)

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0

Citations
494

Documents
30

h-index
11

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Sabitha Vemula | Engineering | Best Researcher Award

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Mrs. Sabitha Vemula | Engineering | Best Researcher Award

Associate Professor | Vaagdevi College Of Engineering | India

Mrs. Sabitha Vemula  is an Associate Professor at Vaagdevi College of Engineering with expertise in signal and image processing, medical image analysis, machine learning, and VLSI-related systems. Her research is strongly focused on MRI-based brain tumor detection and classification, integrating kernel methods, support vector machines, convolutional neural networks, and transformer architectures. She has authored over 7 peer-reviewed publications in international journals, IEEE/Elsevier conference proceedings, and edited volumes, accumulating more than 37 citations. Her work reflects sustained interdisciplinary collaboration and contributes to improved diagnostic accuracy, healthcare decision support, and intelligent imaging systems with clear societal and clinical relevance.

Citation Metrics (Google Scholar)

80

60

40

20

0

Citations
37

Documents
7

h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Hadi Gokcen | Engineering | Best Researcher Award

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Prof. Hadi Gokcen | Engineering | Best Researcher Award

Professor | Gazi University Industrial Engineering Department | Turkey

Dr. Hadi Gökçen, affiliated with Gazi University, Ankara, Turkey, is a distinguished researcher recognized for his influential contributions to industrial engineering, operations research, and computational intelligence. With 51 published documents, an h-index of 23, and more than 1,920 citations from 1,367 citing documents, his scholarly impact spans data-driven decision systems, intelligent manufacturing, and applied artificial intelligence. His recent works reflect a strong integration of machine learning, optimization, and sustainability in solving real-world industrial and economic problems. In Computational Economics , he introduced a hybrid machine learning model that combines clustering and stacking ensemble approaches for improved real estate price prediction. His research published in Applied Sciences Switzerland, proposed a dynamic scheduling method for identical parallel-machine environments through a multi-purpose intelligent utility framework. In Flexible Services and Manufacturing Journal, he presented innovative balancing and sequencing strategies for mixed-model parallel robotic assembly lines, emphasizing energy-efficient production. Further, his Survey Review paper applied hybrid unsupervised learning to identify sub-real estate markets, enhancing prediction accuracy and market segmentation. His contribution to developing a Digital Transformation Perception Scale underscores his focus on organizational innovation and industrial adaptation within the Industry paradigm. Dr. Gökçen’s interdisciplinary research bridges artificial intelligence, optimization, and digital transformation, advancing the understanding and implementation of intelligent, sustainable, and adaptive systems in engineering and economic domains.

Profiles : ORCID | Scopus | Google Scholar 

Featured Publications

1. Demirel, N. Ö., & Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. The International Journal of Advanced Manufacturing Technology, 39(11), 1197–1206.
Cited By : 258

2. Demirel, E., Demirel, N., & Gökçen, H. (2016). A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey. Journal of Cleaner Production, 112, 2101–2113.
Cited By : 247

3. Gökçen, H., Ağpak, K., & Benzer, R. (2006). Balancing of parallel assembly lines. International Journal of Production Economics, 103(2), 600–609.
Cited By : 226

4. Gökçen, H. (2007). Yönetim bilgi sistemleri. Ankara: Palme Yayıncılık.
Cited By : 217

5. Erel, E., & Gökçen, H. (1999). Shortest-route formulation of mixed-model assembly line balancing problem. European Journal of Operational Research, 116(1), 194–204.
Cited By : 189

Mohammad Taghilou | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Taghilou | Engineering | Best Researcher Award

Associate professor | University of Zanjan | Iran

Dr. Mohammad Taghilou is an Associate Professor in the Department of Mechanical Engineering at the University of Zanjan, Iran. His research expertise lies in heat transfer, phase change problems, energy storage, and porous media, with an emphasis on the lattice Boltzmann method (LBM) and its applications in thermal systems. Over his academic career, he has authored impactful studies published in leading journals such as Applied Thermal Engineering, Computers & Mathematics with Applications, and the International Journal of Thermal Sciences. His most cited works explore PCM solidification, nanofluid-based heat exchangers, and the thermal behavior of energy storage systems. Dr. Taghilou’s studies significantly contribute to advancing thermal management technologies, including applications in lithium-ion batteries, heat sinks, and double-pipe exchangers, with an aim to enhance energy efficiency and system reliability. His collaborations with international scholars from institutions such as the University of Tehran, Aalto University (Finland), and the University of Technology Sydney have expanded the interdisciplinary reach of his research. With 541 total citations, an h-index of 15, and an i10-index of 16, his work demonstrates both academic impact and global relevance. Through innovative numerical modeling and experimental approaches, Dr. Taghilou continues to advance understanding in phase-change thermal systems and nanomaterial-enhanced heat transfer, fostering sustainable energy applications and modern engineering solutions.

Profiles: ORCID | Scopus | Google Scholar | ResearchGate | LinkedIn

Featured Publications

1.Sajedi, R., Osanloo, B., Talati, F., & Taghilou, M. (2016). Splitter plate application on the circular and square pin fin heat sinks.  Cited by : 70

2.Taghilou, M., & Rahimian, M. H. (2014). Investigation of two-phase flow in porous media using lattice Boltzmann method. Cited By : 49

3.Talati, F., & Taghilou, M. (2015). Lattice Boltzmann application on the PCM solidification within a rectangular finned container. Cited By : 44

4.Taheri, A. A., Abdali, A., Taghilou, M., Alhelou, H. H., & Mazlumi, K. (2021). Investigation of mineral oil-based nanofluids effect on oil temperature reduction and loading capacity increment of distribution transformers.
Cited By : 40

5.Taghilou, M., & Khavasi, E. (2020). Thermal behavior of a PCM filled heat sink: The contrast between ambient heat convection and heat thermal storage. Cited By : 36