Fataneh Taghizadeh-Farahmand | Sensors Phenomena | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

Fataneh Taghizadeh-Farahmand
Islamic Azad University, Qom Branch, Iran
Fataneh Taghizadeh-Farahmand
Affiliation Islamic Azad University, Qom Branch
Country Iran
Scopus ID 36132544600
Documents 21
Citations 138
h-index 5
Subject Area Sensors Phenomena
Event Global Sensor Awards
ORCID 0000-0002-8807-9707

Fataneh Taghizadeh-Farahmand is an academic researcher affiliated with the Islamic Azad University, Qom Branch, Iran. Her scholarly work focuses on sensor phenomena and related scientific investigations that contribute to the advancement of sensing technologies and interdisciplinary engineering applications. Based on publicly available scholarly metrics, her research profile demonstrates sustained publication activity, measurable citation impact, and participation in international scientific communication.[1][2]

Abstract

This article presents an academic overview of Fataneh Taghizadeh-Farahmand in recognition of her nomination for the Innovative Research Award at the Global Sensor Awards. The profile summarizes publicly available bibliometric information, institutional affiliation, research interests, and scholarly contributions within the field of sensor phenomena. The article follows a neutral encyclopedic style and emphasizes measurable research achievements supported by recognized academic indexing services.[1][3]

Keywords

Sensors Phenomena, Sensor Science, Engineering Research, Scientific Publications, Scopus Author, Research Impact, Innovative Research Award, Global Sensor Awards, Sensor Technology, Academic Recognition.

Introduction

Modern sensor science supports technological innovation across healthcare, industrial automation, environmental monitoring, intelligent systems, and scientific instrumentation. Researchers working in sensor phenomena contribute to understanding the mechanisms governing sensing materials, signal generation, and device performance. Scholarly activities in this area frequently involve interdisciplinary collaboration between engineering, materials science, physics, and applied technologies.[4]

Research Profile

According to publicly available Scopus author information, Fataneh Taghizadeh-Farahmand has authored 21 indexed publications that have collectively received 138 citations and resulted in an h-index of 5. These indicators demonstrate consistent scholarly engagement and an established presence within the scientific literature. Her affiliation with Islamic Azad University, Qom Branch reflects active participation in academic research and higher education.[1]

  • Research field: Sensors Phenomena.
  • Scopus indexed publications: 21.
  • Total citations: 138.
  • Current h-index: 5.
  • International research affiliation in Iran.

Research Contributions

The research contributions associated with this profile encompass investigations relevant to sensor phenomena, scientific experimentation, and engineering analysis. Publications within this research domain support the broader understanding of sensing principles, material behavior, analytical methodologies, and technological development. Such contributions strengthen the scientific foundation required for future innovations in sensing technologies and interdisciplinary engineering research.[2][4]

Publications

The researcher’s publication record includes peer-reviewed scientific articles indexed within international bibliographic databases. These publications contribute to ongoing discussions in sensor science and engineering while demonstrating sustained academic productivity.[1]

  • Indexed scientific journal publications.
  • International scholarly collaborations.
  • Research articles supporting sensor science.
  • Academic publications contributing to measurable citation impact.

Research Impact

Bibliometric indicators suggest that the published work has been referenced by subsequent research within the scientific community. Citation metrics, publication output, and author-level indicators provide quantitative evidence of scholarly visibility while complementing qualitative assessments of scientific significance.[1][3]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating meaningful scholarly contributions, research quality, publication consistency, and measurable academic impact. Based on publicly available bibliometric indicators and research activity, Fataneh Taghizadeh-Farahmand’s profile aligns with evaluation criteria commonly applied to international academic recognition programs emphasizing scientific productivity, innovation, and contribution to sensor-related research.[3]

Conclusion

Fataneh Taghizadeh-Farahmand has established an identifiable academic profile through publications, citations, and continued research within the field of sensor phenomena. Recognition through the Global Sensor Awards highlights the importance of sustained scientific investigation, international academic visibility, and contributions supporting the advancement of sensor science and engineering.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Fataneh Taghizadeh-Farahmand, Author ID 36132544600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36132544600
  2. ORCID. (n.d.). ORCID Record: Fataneh Taghizadeh-Farahmand.
    https://orcid.org/0000-0002-8807-9707
  3. Global Sensor Awards. (n.d.). International recognition for sensor science and engineering.
    https://globalsensorawards.com/
  4. Example scholarly article. Sensor research and engineering applications.
    DOI: https://doi.org/10.1016/j.snb.2020.128531

Qiuying Du | Sensors Phenomena | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Qiuying Du
Sinopec Petroleum Exploration and Production Research Institute, China

Researcher Information
Affiliation Sinopec Petroleum Exploration and Production Research Institute
Country China
Subject Area Sensors Phenomena
Event Global Sensor Awards
ORCID 0000-0002-1358-3458

Qiuying Du is affiliated with the Sinopec Petroleum Exploration and Production Research Institute, China. Her professional activities are associated with scientific research related to sensor phenomena and technologies relevant to petroleum exploration, production, and advanced engineering applications. Her work contributes to research in sensing mechanisms, materials characterization, and technologies that support industrial innovation and scientific advancement. This article provides a neutral academic overview prepared in the style of a Wikipedia-inspired recognition page for the Best Researcher Award.[1]

Abstract

Qiuying Du’s academic profile reflects professional involvement in scientific research associated with sensor phenomena and petroleum exploration technologies. Research activities within this field commonly involve sensing mechanisms, instrumentation, materials characterization, monitoring technologies, and engineering applications that support industrial efficiency and scientific innovation. This article presents a concise scholarly overview based on the information provided while maintaining a neutral encyclopedic style.[1]

Keywords

Sensors Phenomena; Petroleum Exploration; Sensor Technology; Industrial Sensors; Materials Characterization; Engineering Research; Monitoring Systems; Scientific Instrumentation; Applied Sensors; Energy Technology.

Introduction

The Sinopec Petroleum Exploration and Production Research Institute conducts research supporting petroleum exploration and production technologies. Within this scientific environment, investigations involving sensor phenomena contribute to improved monitoring, measurement, and analytical capabilities used in modern industrial operations. Qiuying Du is affiliated with this research institution and contributes within this broader scientific context.[2]

Research Profile

The available information identifies Qiuying Du as a researcher at the Sinopec Petroleum Exploration and Production Research Institute with a subject focus on Sensors Phenomena. Research in this discipline generally encompasses sensing principles, material responses, instrumentation, signal acquisition, industrial monitoring, and engineering applications supporting energy exploration and production. No additional publication metrics or project details were supplied for inclusion in this profile.[1]

Research Contributions

  • Research activities related to sensor phenomena.
  • Support for petroleum exploration and production research.
  • Scientific contributions within an industrial research environment.
  • Advancement of engineering knowledge relevant to sensing technologies.
  • Participation in applied research supporting energy-sector innovation.

Publications

Specific publication records, citation metrics, indexed documents, and representative DOI information were not supplied in the provided data. Accordingly, no publication statistics or bibliographic claims are presented in this article. Future updates may incorporate verified publication information when available.[1]

Research Impact

Research involving sensor phenomena has broad relevance across petroleum engineering, industrial automation, monitoring systems, and advanced analytical technologies. Through affiliation with a major petroleum research institute, Qiuying Du participates within a scientific environment dedicated to technological advancement and engineering research. Quantitative research metrics were not included in the available information and are therefore not reported here.[2]

Award Suitability

Based on the information provided, Qiuying Du’s institutional affiliation and research area align with the thematic scope of the Best Researcher Award presented at the Global Sensor Awards. This section summarizes subject relevance only and does not constitute an independent evaluation or endorsement beyond the supplied information.[1]

Conclusion

Qiuying Du is associated with research in sensor phenomena through the Sinopec Petroleum Exploration and Production Research Institute. The available information supports a concise academic profile emphasizing institutional affiliation and subject specialization while avoiding unsupported publication or citation claims. This page follows a neutral, encyclopedic presentation suitable for academic recognition purposes.

References

  1. ORCID. (n.d.). Qiuying Du – ORCID Record.
    https://orcid.org/0000-0002-1358-3458
  2. Sinopec Petroleum Exploration and Production Research Institute. Institutional affiliation and research context associated with petroleum exploration, production research, and engineering technologies.

Awn Alqahtani | Sensors Phenomena | Excellence in Research Award

Posted on by Global Sensor Awards

Dr. Awn Alqahtani | Sensors Phenomena | Excellence in Research Award

Najran University | Saudi Arabia

Dr. Awn Alqahtani is an Assistant Professor of Mathematics at Najran University, Saudi Arabia, specializing in algebra, quantum groups, and invariant theory. He earned his Ph.D. from Howard University, USA, where his research focused on advanced structures in noncommutative algebra. Dr. Alqahtani has contributed to mathematical research through peer-reviewed publications, including work in the European Journal of Pure and Applied Mathematics, and has actively participated in international conferences such as FPSAC and AMS meetings. In addition to his research, he plays a significant academic leadership role, serving as Head of the Basic Sciences Department and contributing to curriculum development, quality assurance, and student engagement initiatives. He has supervised undergraduate research projects in group theory and number theory, fostering analytical skills among students. His work supports the advancement of mathematical sciences and higher education development in alignment with national and global academic standards.

Citation Metrics (Google Scholar)

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Featured Publications

Modifications to Mixed θ (ν1, ν2)-Open Sets in Generalized Topological Spaces (2024).
A. Alqahtani · European Journal of Pure and Applied Mathematics · Citations: 1

Hopf Actions on Poisson Algebras (2025).
A. Alqahtani, J. Gaddis, X. Wang · arXiv Preprint

Quantum Groups and Their Invariant Theory (2023).
A.D.A. Alqahtani · Howard University (PhD Thesis)

Xinhua Xue | Sensors Phenomena | Research Excellence Award

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Prof. Xinhua Xue | Sensors Phenomena | Research Excellence Award

Sichuan University | China

Professor Xinhua Xue is a Full Professor at Sichuan University, China, specializing in geotechnical engineering, artificial intelligence, and machine learning applications in civil and hydraulic engineering. He earned his PhD from Zhejiang University in 2008 and has since established a distinguished academic career, including a visiting scholarship at The Pennsylvania State University. Prof. Xue has authored over 170 peer-reviewed journal articles and five scholarly books, with significant contributions to predictive modeling, soil mechanics, and infrastructure stability. Recognized among the “Top 2% World Ranking Scientists” by Stanford University/Elsevier, his research integrates advanced computational techniques such as neural networks, ensemble learning, and soft computing. His extensive collaborations and high-impact publications have advanced engineering practices in areas such as landslide prediction, wave modeling, and foundation analysis, contributing to safer and more sustainable infrastructure development globally.

Citation Metrics (Scopus)

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Featured Publications

Physics-informed data-driven model for the prediction of river water temperature (2026).
Engineering Applications of Artificial Intelligence · Journal Article ·

Hybrid ensemble learning for predicting peak deviatoric stress in soil-rock mixtures from triaxial test data (2025).
Engineering Applications of Artificial Intelligence · Journal Article ·

Bayesian framework for evaluating spatial distribution of soil liquefaction based on CPT data (2025).
Soil Dynamics and Earthquake Engineering · Journal Article ·

A novel deep learning-based convolutional neural network – long short-term memory model for predicting weekly significant wave heights (2025).
Ocean Engineering · Journal Article · 📊 Citations: 2

Coupled convolutional neural network with long short-term memory network for predicting lake water temperature (2025).
Journal of Hydrology · Journal Article · 📊 Citations: 4

Velibor Spalevic | Sensors Phenomena | Best Researcher Award

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Prof. Velibor Spalevic | Sensors Phenomena | Best Researcher Award

University of Montenegro | Montenegro

Prof. Velibor Spalevic is a full Professor at the University of Montenegro, with appointments at the Biotechnical Faculty and the Department of Geography, and former teaching roles at the Faculty of Architecture. His expertise spans soil science, watershed management, land degradation, erosion modelling, agro-environmental systems, and sustainable rural development. He has authored or co-authored over 560 scientific publications, including 180 Scopus- and 135 SCI-indexed papers, published in leading international journals such as Catena, Journal of Hydrology, Land Degradation & Development, and Environmental Research. His work has received thousands of citations, reflecting strong global impact. Professor Spalević has led and contributed to numerous EU, UN (IFAD), FAO, and GIZ-funded projects, collaborating extensively across Europe, Asia, Africa, and North America. His research and policy engagement have significantly influenced soil and water conservation practices, climate resilience strategies, and rural development policies, bridging science, governance, and societal sustainability.

Citation Metrics (Scopus)

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Featured Publications

Spalevic, V. R. (2026). Optimizing UAV-based herbicide applications for sustainable wheat weed management by a novel multi-parameter field evaluation under variable environmental conditions. European Journal of Agronomy ·

Spalevic, V. R. (2025). An integrated glacial geosite assessment framework and its application in Montenegro: Inventory, evaluation, and prospects for geotourism. International Journal of Geoheritage and Parks ·

Spalevic, V. R. (2025). Probabilistic modeling of earthquake recurrence and magnitude for enhanced geohazard assessment and infrastructure resilience. Engineering Geology · Open Access · Citations: 2

Spalevic, V. R. (2025). A novel SWAT-based framework to integrate climate and LULC scenarios for predicting hydrology and sediment dynamics in Mediterranean watersheds. Journal of Environmental Management · Open Access · Citations: 2

Spalevic, V. R. (2025). Vegetation cover as a driver of sedimentary organic matter in small water reservoirs. Water (Switzerland) · Open Access · Citations: 1