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

Laxmikant Chavan | Engineering | Innovative Research Award

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Innovative Research Award

Laxmikant Chavan
Dayananda Sagar College of Engineering

Laxmikant Chavan
Affiliation Dayananda Sagar College of Engineering
Country India
Subject Area Engineering
Event International Research Scientist Awards
ORCID 0009-0006-8335-1296

Laxmikant Chavan is a researcher affiliated with Dayananda Sagar College of Engineering whose academic activities focus on engineering research, digital design methodologies, and emerging verification technologies. His scholarly profile demonstrates active participation in contemporary research initiatives and professional dissemination through recognized academic platforms.[1]

Abstract

This article summarizes the academic profile and research engagement of Laxmikant Chavan within the field of engineering. The overview highlights institutional affiliation, publication activity, research visibility, and scholarly contributions associated with digital design verification. The profile is presented in a neutral academic format consistent with research recognition documentation.[1]

Keywords

Engineering, Digital Design, Functional Verification, VLSI Systems, Embedded Systems, Research Innovation, Academic Publishing, Scientific Recognition, Electronics Research, Computational Methodologies.

Introduction

Engineering research continues to benefit from advances in automation, verification methodologies, and intelligent computational frameworks. Researchers working in these areas contribute to the reliability and efficiency of modern electronic systems. Within this context, academic participation through publications and institutional research activities remains an important indicator of scholarly engagement.[2]

Research Profile

Laxmikant Chavan is associated with Dayananda Sagar College of Engineering and is linked to an ORCID researcher profile. His documented academic activity includes work in VLSI design, embedded systems, and electronics-oriented engineering research. The available scholarly record reflects participation in peer-reviewed publication efforts and collaborative scientific investigations.[1]

Research Contributions

The research contributions associated with this profile emphasize automated verification approaches for digital systems and the integration of intelligent methodologies into engineering workflows. Such contributions support improved design validation processes and align with broader trends in electronics and computational engineering research. These developments are relevant to both academic inquiry and industrial applications.[3]

Publications

A documented publication associated with the author is titled ML-Driven Automated Functional Verification Framework for Digital Designs. The study examines the application of machine learning techniques to improve verification efficiency within digital design environments. The publication reflects interdisciplinary engagement between electronics engineering and intelligent computational systems.[2]

Research Impact

Research impact may be evaluated through publication visibility, adoption of methodologies, and contribution to ongoing scholarly discussions. Work related to automated verification frameworks supports improved reliability in digital systems and encourages further exploration of machine learning applications within engineering. Such outcomes contribute to the advancement of contemporary research practice.[2]

Award Suitability

The academic profile demonstrates characteristics commonly considered in research recognition programs, including institutional affiliation, documented publication activity, and engagement with emerging engineering topics. Participation in peer-reviewed research and contribution to specialized technical domains support consideration within scholarly award evaluation frameworks.[2]

Conclusion

Laxmikant Chavan’s academic profile reflects active involvement in engineering research with particular relevance to verification technologies and digital system methodologies. The documented publication record and professional research identity provide evidence of scholarly participation. Continued engagement in these areas may further expand research visibility and contribution within the engineering community.

References

  1. ORCID. (2026). Laxmikant Chavan (ORCID iD: 0009-0006-8335-1296). ORCID Registry.
    https://orcid.org/0009-0006-8335-1296
  2. Krishnappa, K. H., Madhura, R., & Chavan, L. (2026). ML-Driven Automated Functional Verification Framework for Digital Designs. Electronics, 15(12).
    https://doi.org/10.3390/electronics15122687
  3. International Research Scientist Awards. (2026). Award Information and Evaluation Framework.
    https://researchscientist.net/

Ardy Arsyad | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Ardy Arsyad | Engineering | Research Excellence Award

Universitas Hasanuddin | Indonesia

Assoc. Prof. Dr. Ardy Arsyad is an Associate Professor at Hasanuddin University, Indonesia, with expertise in geotechnical earthquake engineering, soil stabilization, and landslide hazard assessment. He has authored numerous Web of Science and Scopus-indexed publications, contributing over 221 citations with an h-index of 7. His research spans liquefaction analysis, sustainable road materials, and advanced modeling of geohazards, including landmark studies on the 2018 Sulawesi earthquake. He collaborates internationally with scholars such as Yasuhiro Mitani. His work supports resilient infrastructure development, environmental sustainability, and disaster risk reduction, delivering significant societal impact in hazard-prone regions.

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Featured Publications

Large distance flow-slide at Jono-Oge due to the 2018 Sulawesi Earthquake, Indonesia.

– Soils and Foundations, 61(1), 239–255. (2021). Cited By: 65

Large-scale flowslide in Sibalaya caused by the 2018 Sulawesi earthquake.

– Soils and Foundations, 60(4), 1050–1063. (2020). Cited By: 52

Bioremediation of coal contaminated soil as the road foundations layer.

– International Journal of GEOMATE, 21(84), 76–84. (2021). Cited By: 21

Landslide susceptibility mapping along road corridors in west Sulawesi using GIS-AHP models.

– IOP Conference Series: Earth and Environmental Science, 419(1), 012080. (2020). Cited By; 18

 

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.

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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.

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Adedayo Yusuff | Engineering | Outstanding Contribution Award

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Prof. Adedayo Yusuff | Engineering | Outstanding Contribution Award

Sarchi Chair | University of South Africa  | South Africa 

Prof. Adedayo Yusuff is a researcher at the University of South Africa, Pretoria, specializing in power systems engineering, renewable energy integration, energy sustainability, and intelligent energy systems. His scholarly output includes 119 Scopus-indexed publications, accumulating 1,160 citations with an h-index of 16, reflecting consistent academic impact. His research addresses critical challenges in solar and wind integration, microgrids, energy storage, electric vehicles, and energy planning for developing regions, particularly sub-Saharan Africa. Through extensive international collaborations with over 85 co-authors, his work contributes to resilient energy infrastructure, sustainable electrification, and evidence-based energy policy with clear societal and environmental relevance.

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Featured Publications


Optimal design of wind-powered hydrogen refuelling station for some selected cities of South Africa.

– International Journal of Hydrogen Energy. (2021). Citations: 138

Willingness to pay for green electricity derived from renewable energy sources in Nigeria.

– Renewable and Sustainable Energy Reviews. (2021). Citations: 97

Yirga Munaye | Computer Science | Best Researcher Award

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Assoc. Prof. Dr. Yirga Munaye | Computer Science | Best Researcher Award

Postdoctoral Researcher | Bahir Dar University | Ethiopia

Dr. Yirga Munaye is a distinguished researcher at Bahir Dar University, Ethiopia, specializing in wireless communication, UAV systems, artificial intelligence, IoT, and cybersecurity. With 36 publications and 599 citations, he has made significant contributions to UAV positioning, indoor/outdoor localization, deep learning for resource management, and secure network infrastructures. His collaborations span 36 international co-authors, reflecting strong interdisciplinary and global engagement. Dr. Munaye’s research addresses critical societal challenges, including smart connectivity, network optimization, and AI-driven security solutions, advancing both theoretical knowledge and practical applications in emerging technologies worldwide.

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Featured Publications

 

Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

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Dr. Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

Assistant Professor | King Saud University  | Saudi Arabia

Dr. Ahmed M. El-Sherbeeny is an Assistant Professor of Industrial Engineering at King Saud University, specializing in safety engineering, human factors and ergonomics, and environmental engineering. With an extensive interdisciplinary research portfolio, he has contributed significantly to high-impact domains including public health, intelligent systems, machine learning, environmental remediation, and industrial sustainability. His scholarly impact is reflected in 456 publications 7,784 citations, an h-index of 44, and an i10-index of 135, positioning him as a highly influential researcher within and beyond his primary discipline.Dr. El-Sherbeeny has collaborated on several landmark global studies most notably the Recovery trials published in The Lancet, which transformed clinical decision-making for COVID-19 treatment. His co-authored works on Tocilizumab Casirivimab/Imdevimab Azithromycin Baricitinib and corticosteroid therapy collectively account for thousands of citations underscoring his role in research that shaped international health policies. Beyond clinical research he has made notable contributions to intelligent security frameworks for electric vehicles machine-learning-driven medical diagnostics and blockchain-based IoT access control demonstrating strong engagement with emerging technological frontiers.In the environmental and materials engineering domains his publications address photocatalytic degradation nanocomposites for pollutant removal drug-delivery materials groundwater quality assessment and energy-efficient systems reflecting an impressive breadth of problem-solving across sustainability and environmental protection. His collaborative works span multiple continents involving international teams from engineering medical sciences environmental chemistry and computational intelligence.Dr. El-Sherbeeny’s research outputs appearing in top-tier journals such as The Lancet Chemical Engineering Journal Journal of Hazardous Materials ACS Omega and IEEE Access highlight both methodological rigor and societal impact. His contributions advance safer industrial systems enhance public health resilience support data-driven environmental management and promote technologically integrated solutions for global sustainability challenges.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Avatefipour, O., Al-Sumaiti, A. S., El-Sherbeeny, A. M., Awwad, E. M., & Elmeligy, M. A. (2019). An intelligent secured framework for cyberattack detection in electric vehicles’ CAN bus using machine learning. Cited By : 185

2.Nadeem, A., Ahmad, S. F., Al-Harbi, N. O., Fardan, A. S., & El-Sherbeeny, A. M. (2017). IL-17A causes depression-like symptoms via NFκB and p38MAPK signaling pathways in mice: Implications for psoriasis associated depression.
Cited By : 172

3.Nadeem, A., Al-Harbi, N. O., Al-Harbi, M. M., El-Sherbeeny, A. M., & Ahmad, S. F. (2015). Imiquimod-induced psoriasis-like skin inflammation is suppressed by BET bromodomain inhibitor in mice through RORC/IL-17A pathway modulation. Pharmacological Research, 99, 248–257.  Cited By : 132

4.Mahum, R., Rehman, S. U., Meraj, T., Rauf, H. T., Irtaza, A., & El-Sherbeeny, A. M. (2021). A novel hybrid approach based on deep CNN features to detect knee osteoarthritis. Cited By : 117

5.Yang, X., Wang, J., El-Sherbeeny, A. M., AlHammadi, A. A., & Park, W. H. (2022). Insight into the adsorption and oxidation activity of a ZnO/piezoelectric quartz core-shell for enhanced decontamination of ibuprofen: Steric, energetic, and oxidation studies. Cited By : 98

Dr. Ahmed M. El-Sherbeeny’s interdisciplinary research integrates industrial engineering, machine learning, and environmental sciences to advance public health, industrial safety, and sustainable technologies. His work informs global healthcare strategies, enhances intelligent systems, and drives innovative solutions with broad societal and industrial impact.

Tzu Wen Kuo | Engineering | Editorial Board Member

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Assist. Prof. Dr Tzu Wen Kuo | Engineering | Editorial Board Member

Architect | Private Chinese Culture University  | Taiwan

Assist. Prof. Dr Tzu Wen Kuo is a dedicated scholar and practitioner in the field of technological disaster prevention, currently serving as a Lecturer in the Department of Architecture and Urban Design at the Chinese Culture University in Taipei, Taiwan. He is also a practicing architect and an active instructor for architectural license examination preparation, demonstrating a strong commitment to bridging academic knowledge with professional practice. Kuo is presently pursuing his PhD in the Department of Architecture at the National Taiwan University of Science and Technology, where his doctoral research focuses on enhancing safety, resilience, and emergency response mechanisms in built environments.Kuo’s research centers on integrating advanced technologies into disaster prevention frameworks, particularly with respect to fire safety, emergency evacuation, and smart building systems. His scholarly contributions reflect a strong emphasis on simulation-based analysis, digital tools, and mobile-assisted evacuation strategies. He has authored multiple peer-reviewed journal articles, including recent works published in Fire and the International Journal of Environmental Research and Public Health. His studies ranging from QR code-enabled fire rescue notification systems to smartphone-based evacuation guidance and stadium evacuation efficiency—highlight his interdisciplinary approach that combines architecture, information technology, and public safety engineering.Through collaborations with academic and industry experts, Kuo contributes to practical solutions that strengthen building safety management and emergency preparedness across various public infrastructures. His work provides empirical insights that support policymakers, architects, and safety professionals in developing more efficient, technology-enhanced disaster response strategies. With growing citations and recognition in the field, Kuo’s research continues to advance the integration of smart technologies into architectural planning and urban safety systems.

Profile : ORCID 

Featured Publications

1.Yang, C.-H., Lin, C.-Y., & Kuo, T.-W. (2025). Simulation-based assessment of evacuation efficiency in sports stadiums: Insights from case studies. Fire, 8(6), 210.

2.Kuo, T.-W., & Lin, C.-Y. (2025). Smart building technologies for fire rescue: A QR code-enabled notification system. Fire, 8(3), 114..

3.Kuo, T.-W., Lin, C.-Y., Chuang, Y.-J., & Hsiao, G. L.-K. (2022). Using smartphones for indoor fire evacuation. International Journal of Environmental Research and Public Health, 19(10), 6061.

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