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

Zhuming Cao | Engineering | Research Excellence Award

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Mr. Zhuming Cao | Engineering | Research Excellence Award

Xiamen Institute of Technology | China

Mr. Zhuming Cao, affiliated with Xiamen Institute of Technology, China, is an accomplished researcher in mechanical engineering with expertise in intelligent manufacturing, CNC systems, and digital twin technologies. His recent publication in Machines (2026) highlights advanced predictive maintenance using innovation-adaptive sensor fusion and uncertainty-aware prognostics. With over 60 academic publications, multiple patents, and active leadership in funded research projects, his work significantly advances smart manufacturing and industrial digitalization. He has established strong industry collaborations, contributing to technology transfer and practical innovation. His research demonstrates measurable societal impact through enhanced manufacturing efficiency, workforce skill development, and the integration of academia with industry applications.

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Featured Publications

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

Sakshi Dua | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Sakshi Dua | Engineering | Best Researcher Award

Associate Professor | Lovely Professional University | India

Dr. Sakshi Dua is an accomplished academic and researcher currently serving as Associate Professor at the School of Computer Applications, Lovely Professional University, Jalandhar-Phagwara, Punjab, India. She holds a Ph.D. in Computer Science and has over 14 years of professional experience as Assistant Professor before her current role. Her research interests span artificial intelligence, Internet of Things, Arduino, machine learning, fuzzy systems, network operating systems, and database management systems. She has contributed as Guest Editor for reputed ABDC and Scopus-indexed journals, authored book chapters with CRC Press, Taylor & Francis, and IGI Global, and is actively involved in book editorial projects with CRC Press and Emerald. She has published widely in SCIE, Scopus, ABDC, and UGC-indexed journals, as well as in IEEE and Springer conferences, and has presented her research internationally. Her contributions extend to applied innovation with patents and copyrights in diverse areas such as smart healthcare, ICT, and IoT-based solutions. She has chaired sessions at IEEE conferences, delivered workshops and FDPs, and guided students through impactful academic and research projects. Her skills include advanced data analysis, algorithm design, applied AI and IoT development, research writing, and academic leadership. Dr. Sakshi Dua has earned recognition through her impactful scholarly work, editorial leadership, and strong community engagement. She has received 71 citations by 9 documents with an h-index of 1.

Profile :  Scopus

Featured Publication

1. Dua, S. (2025). Blockchain-based node authentication algorithm for securing electronic health record data transmission.

Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

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Dr. Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Corresponding Author, Ferdowsi university of Mashhad,Iran

Dr. Vahideh Bafandegan Emroozi is a rising academic with a robust publication record, collaborative outlook, and applied interdisciplinary focus. Her work on supply chain optimization, IoT integration, and human reliability is timely and contributes to both industrial efficiency and sustainable development.

Professional Profile:

Scopus

Google scholar

🎓 Education

Vahideh Bafandegan Emroozi holds a Ph.D. in Industrial Management from Ferdowsi University of Mashhad, Iran (2019–2024), with a remarkable GPA of 19.49 out of 20. Her doctoral thesis focuses on developing a maintenance planning model using the Internet of Things (IoT) while accounting for human error. She earned her M.Sc. in Industrial Management from the same university in 2017, graduating with a GPA of 18.96. She began her academic journey with a B.Sc. in Industrial Engineering at Ferdowsi University, graduating in 2012.

Professional Experience

Dr. Bafandegan Emroozi has served as a research fellow at Sanabad University (2023–2024) and Ferdowsi University of Mashhad (2021–2023). In these roles, she has contributed to various multidisciplinary projects focusing on optimization, reliability, and maintenance strategies within industrial systems.

Skills

She brings a strong technical toolkit that includes programming and modeling in Python, MATLAB, GAMS, Vensim, LINGO, LaTeX, UCINET, and Minitab. She is also proficient in MICMAC and Microsoft Office applications, reflecting a solid foundation in both qualitative and quantitative analysis.

Research Interests

r research spans multiple domains, including supply chain management, optimization, maintenance and reliability, human error analysis, inventory control, system dynamics, and mathematical modeling. Her work often explores the intersection of advanced technologies (e.g., IoT) with human-centered decision-making.

✅ Conclusion

Women Researcher Award: Strongly Recommended. Her academic output, innovative scope, and relevance to modern global challenges make her an excellent candidate. Best Researcher Award: Recommended with Reservations. She is well on her way, but continued growth in citations, funding, and global recognition would strengthen her case in the future.

Publication Top Notes:

  • Modares, A., Kazemi, M., Bafandegan Emroozi, V., & Roozkhosh, P. (2023). A new supply chain design to solve supplier selection based on internet of things and delivery reliability. Journal of Industrial and Management Optimization, 19(11), 7993–8028. Cited by: 39

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain. Journal of Industrial and Management Optimization, 19(5), 3075–3106. Cited by: 32

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A new model to design the suppliers portfolio in newsvendor problem based on product reliability. Journal of Industrial and Management Optimization, 19(6), 4112–4151. Cited by: 25

  • Bafandegan Emroozi, V., Roozkhosh, P., Modares, A., & Roozkhosh, F. (2023). Selecting green suppliers by considering the internet of things and CMCDM approach. Process Integration and Optimization for Sustainability, 7(5), 1167–1189. Cited by: 19

  • Bafandegan Emroozi, V., & Fakoor, A. (2023). A new approach to human error assessment in financial service based on the modified CREAM and DANP. Journal of Industrial and Systems Engineering, 14(4), 95–120. Cited by: 19

  • Bafandegan Emroozi, V., Kazemi, M., Doostparast, M., & Pooya, A. (2024). Improving industrial maintenance efficiency: A holistic approach to integrated production and maintenance planning with human error optimization. Process Integration and Optimization for Sustainability, 8(2), 539–564. Cited by: 18

  • Modares, A., Motahari, N., & Bafandegan Emroozi, V. (2022). Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making. Industrial Management Journal, 14(1), 115–142. Cited by: 18

  • Bafandegan Emroozi, V., Modares, A., & Roozkhosh, P. (2024). A new model to optimize the human reliability based on CREAM and group decision making. Quality and Reliability Engineering International, 40(2), 1079–1109. Cited by: 16

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran). Journal of Optimization in Industrial Engineering, 16(1), 129–140. Cited by: 15

  • Emroozi, V. B., Kazemi, M., Modares, A., & Roozkhosh, P. (2024). Improving quality and reducing costs in supply chain: the developing VIKOR method and optimization. Journal of Industrial and Management Optimization, 20(2), 494–524. Cited by: 1