Fahad Allahaim | Environmental | Innovative Research Award

Published on by Environmental Scientists

Innovative Research Award

Fahad Allahaim

King Saud University, Saudi Arabia

Fahad Allahaim
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 57195720816
Documents 4
Citations 17
h-index 3
Subject area Environmental Science
Event International Environmental Scientists Award
Google Scholar Research profile

Fahad Allahaim, affiliated with King Saud University in Saudi Arabia, in connection with the International Environmental Scientists Award. Environmental science is the stated subject area, and the supplied Scopus profile reports four documents, 17 citations, and an h-index of three. These bibliometric indicators offer an initial overview of the indexed research record. A comprehensive assessment of innovation should also examine the originality of individual studies, the reliability of their methods, their relevance to environmental challenges, and their contribution to scientific understanding. The reported figures should be verified against the linked profiles before formal publication or award decisions. [1] [2]

1. Abstract

Fahad Allahaim is identified in the supplied information as a researcher affiliated with King Saud University in Saudi Arabia. Environmental science is listed as the subject area, and the supplied Scopus record reports four documents, 17 citations, and an h-index of three. These indicators provide a quantitative snapshot of the indexed publication record but do not independently establish the novelty, quality, or practical significance of the research. In the context of the Innovative Research Award, a balanced evaluation should consider verified publications, research methods, originality, environmental relevance, and evidence of contribution to the field. The researcher’s specific projects and findings should be established from verified publications and authoritative institutional information rather than inferred from citation metrics alone. [1] [2]

2. Keywords

Fahad Allahaim; Innovative Research Award; International Environmental Scientists Award; environmental science; environmental research; scientific innovation; research excellence; scholarly publications; citation analysis; h-index; environmental sustainability; research impact; academic recognition; scientific methodology.

3. Introduction

Environmental science draws on multiple disciplines to examine environmental systems, the interactions between human activities and natural processes, and approaches to understanding and addressing environmental challenges. Research in this field may involve pollution assessment, ecosystem monitoring, resource management, environmental modelling, sustainability, climate-related processes, and the evaluation of environmental policies. The relevance of a research contribution depends on its research question, evidence, methodology, and implications for scientific understanding or practical decisions.

Innovation in environmental research can arise from new analytical methods, improved measurement techniques, novel interpretations of data, interdisciplinary approaches, or evidence that changes the understanding of a specific problem. Establishing innovation requires examining the actual research outputs and comparing their contributions with existing work in the field.

This article documents the supplied researcher information for Fahad Allahaim in connection with the Innovative Research Award and the International Environmental Scientists Award. It distinguishes reported bibliometric information from research achievements that would require further documentary evidence.

4. Research Profile

The supplied information identifies Fahad Allahaim as affiliated with King Saud University in Saudi Arabia and associates the profile with environmental science. The Scopus author identifier and Google Scholar profile provide starting points for reviewing the researcher’s indexed scholarly record. A complete profile would include verified research themes, publication titles, methodological approaches, collaborative work, and evidence of contributions to environmental research.

The supplied information does not specify particular environmental studies, research projects, patents, datasets, or documented applications. Therefore, no individual discovery, technology, or environmental outcome is attributed to the researcher in this article without supporting evidence.

Bibliometric overview

Bibliometric indicators can change as databases index additional publications, update citation records, and correct author profiles. The figures presented here are reproduced from the supplied input and should be checked against the live Scopus profile before being used as current statistics. [1]

5. Research Contributions

Research contributions in environmental science may include improved understanding of environmental processes, new analytical or monitoring methods, evidence-based assessment of environmental conditions, and research that informs sustainability or resource management. The significance of any particular contribution must be established from the relevant research outputs and the evidence supporting their conclusions.

For Fahad Allahaim, the supplied profile identifies the general subject area but does not list individual publications or describe specific findings. The following criteria can support a structured evaluation of verified work without presuming unconfirmed achievements:

  • Originality of the research question and contribution to existing environmental knowledge.
  • Appropriateness of methods, data quality, analytical rigor, and reproducibility.
  • Relevance to environmental monitoring, ecosystem understanding, pollution, sustainability, or other verified research themes.
  • Clarity in reporting results, limitations, and uncertainty.
  • Evidence of scientific, societal, policy, or practical relevance, where documented.

Reviewing these dimensions alongside the publication record would provide a more complete understanding of research quality and innovation than bibliometric indicators alone.

6. Publications

The supplied Scopus information reports four documents associated with the author profile. The Google Scholar profile provides an additional resource for locating potentially relevant publications. Records from different databases may vary in coverage and author matching, so publication titles and authorship should be checked against publisher pages or other authoritative bibliographic sources. [1] [2]

Individual publication titles, journal details, and DOI identifiers were not supplied for this profile. Accordingly, no specific article or research finding is attributed to Fahad Allahaim here. A verified bibliography should be compiled before describing particular studies or citing researcher-specific DOI records.

For a complete publication assessment, the following details should be recorded where available:

  • Full title and author list of each publication.
  • Journal, conference, book, or report information and publication year.
  • DOI or another persistent identifier, when available.
  • Research objectives, methods, principal findings, and acknowledged limitations.
  • Evidence of relevance to environmental science and the stated award category.

DOI records can be located through Crossref or the relevant publisher once publication titles or other bibliographic details are available. [3]

7. Research Impact

The supplied profile reports 17 citations and an h-index of three across four documents. These metrics provide a quantitative indication of citation activity within the reported record. Citation counts can help describe scholarly visibility, but they do not independently measure research originality, methodological reliability, environmental benefit, or the individual contribution of each co-author. [1] [4]

A comprehensive impact assessment should examine the content and quality of the research, the context in which other publications cite it, and any documented influence on subsequent studies or environmental practice. Practical impact should be supported by evidence rather than inferred from citation totals.

Interpretation of research indicators

  • Publication output: the reported four documents describe the size of the indexed research record.
  • Citation activity: the reported 17 citations indicate references associated with the indexed publications.
  • h-index: the reported value of three reflects publication output and citation frequency within the database calculation.
  • Research significance: novelty, reliability, disciplinary importance, and practical relevance require review of the underlying research.

Bibliometric results should be interpreted in light of database coverage, publication age, citation practices within the discipline, and the date of retrieval. They are best used alongside a qualitative evaluation of verified research contributions. [4]

8. Award Suitability

The supplied research metrics provide an initial basis for reviewing Fahad Allahaim’s profile in connection with the Innovative Research Award under the International Environmental Scientists Award. The reported four documents, 17 citations, and h-index of three can be considered as part of a broader evaluation. However, these figures alone do not establish eligibility, selection, or receipt of the award. A reliable assessment requires the official criteria for the relevant award edition and evidence of the originality and significance of the researcher’s work.

A structured review may consider the following dimensions:

  1. Research output: verified publications and their relevance to environmental science.
  2. Innovation: evidence of new methods, insights, analytical approaches, or findings beyond established knowledge.
  3. Scientific quality: methodological rigor, data integrity, reproducibility, and appropriate interpretation of results.
  4. Research impact: scholarly influence and documented environmental, policy, or practical relevance.
  5. Verification and eligibility: confirmation of author identity, affiliation, supporting documents, and compliance with the official award requirements.

Based on the supplied information, the profile can be considered for further evaluation, subject to verification of the publication record and a review against the award’s formal criteria. A final recommendation should be supported by documentary evidence and a consistent assessment process.

9. Conclusion

This academic profile presents Fahad Allahaim as affiliated with King Saud University in Saudi Arabia, with environmental science identified as the subject area. The supplied Scopus metrics report four documents, 17 citations, and an h-index of three. These indicators provide a starting point for reviewing the research record in connection with the Innovative Research Award and the International Environmental Scientists Award.

A complete assessment should combine verified publication data with a qualitative examination of originality, methodological rigor, scientific relevance, and documented impact. Since individual publications and specific research findings were not provided, further verification is needed before making definitive claims about research achievements or award suitability. This profile does not independently confirm nomination, selection, or receipt of an award.

11. References

  1. Elsevier. (n.d.). Scopus author details: Fahad Allahaim, Author ID 57195720816. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57195720816
  2. Google Scholar. (n.d.). Google Scholar profile supplied for Fahad Allahaim. Google Scholar.  https://scholar.google.com/citations?user=S0Bl1hQAAAAJ&hl=en&oi=sra
  3. Causes of cost overruns on infrastructure projects in Saudi Arabi.  https://www.inderscienceonline.com/doi/abs/10.1504/IJCENT.2015.073176
  4. Impact of the Saudi Building Code on Residential Construction Costs. https://www.mdpi.com/2075-5309/14/1/233
  5. International Environmental Scientists Award. (n.d.). Official award website. The official website should be consulted for the applicable award categories, eligibility criteria, submission procedures, and recognition policies. https://environmentalscientists.org/

Chia Yen Pao | Environmental Forecasting | Best Researcher Award

Published on by Environmental Scientists

Best Researcher Award

Chia Yen Pao — National Dong Hwa University, Taiwan

Chia Yen Pao
Affiliation National Dong Hwa University
Country Taiwan
Documents 1
Subject Area Environmental Forecasting
Event International Environmental Scientists Award
ORCID 0009-0007-6916-2234

Chia Yen Pao is a researcher affiliated with National Dong Hwa University in Taiwan whose research profile is associated with environmental forecasting and data-driven environmental monitoring. Available publication records identify work involving multimodal sensing, edge computing, predictive modelling, and environmental change forecasting. [1]

Abstract

The Best Researcher Award profile recognizes Chia Yen Pao for research activity within Environmental Forecasting at National Dong Hwa University. Recent scholarly work associated with Chia-Yen Pao examines edge artificial intelligence, multimodal sensor fusion, and predictive environmental monitoring, demonstrating an interdisciplinary connection between computing and environmental applications. [1]

Keywords

Environmental forecasting; edge artificial intelligence; multimodal sensor fusion; environmental monitoring; predictive modelling; smart aquaculture; National Dong Hwa University.

Introduction

Environmental forecasting increasingly combines sensing technologies, computational intelligence, and predictive analytics to support timely interpretation of changing environmental conditions. Pao’s documented research applies these approaches to environmental monitoring and forecasting, particularly through edge-based computational architectures. [2]

Research Profile

The supplied academic profile identifies Environmental Forecasting as the principal subject area and records one document. The ORCID identifier 0009-0007-6916-2234 provides a persistent researcher identifier for distinguishing scholarly activity and publications. [3]

Research Contributions

A documented contribution describes an IoT environmental prediction framework using multimodal water-quality data and a 1D-CNN-LSTM model deployed on ESP32 edge-computing nodes. The study addresses environmental change prediction using water level, temperature, and turbidity information. [1]

Publications

A recent publication by Chia-Yen Pao and Po-Hao Chang, published in Electronics in 2026, presents an edge AI-driven multimodal sensor-fusion approach for environmental forecasting in smart aquaculture monitoring. The article is identified by DOI 10.3390/electronics15194426. [1]

Research Impact

The research demonstrates how low-latency edge computing and predictive models can be integrated into environmental monitoring systems. Its reported forecasting framework illustrates potential value for early identification of environmental anomalies and responsive management of monitored conditions. [1]

Award Suitability

The profile is relevant to the Best Researcher Award because the documented work connects computational methods with environmental forecasting and applied monitoring. The combination of environmental applications, predictive analytics, and emerging edge technologies provides an identifiable basis for scholarly recognition in the stated subject area.

Conclusion

Chia Yen Pao’s documented research profile reflects an interdisciplinary approach to Environmental Forecasting, with emphasis on predictive environmental monitoring and edge-based computational methods. The available publication record provides a scholarly basis for consideration within the Best Researcher Award category.

References

  1. Pao, C.-Y., & Chang, P.-H. (2026). Edge AI-Driven Multimodal Sensor Fusion for Environmental Forecasting in Smart Aquaculture Monitoring. Electronics, 15(19), 4426.
    https://doi.org/10.3390/electronics15194426
  2. National Dong Hwa University. Institutional and academic information.
  3. ORCID. ORCID record for Chia Yen Pao, ORCID iD 0009-0007-6916-2234.
    https://orcid.org/0009-0007-6916-2234
  4. Pao, C.-Y., Chang, P.-H., & related research records. Environmental forecasting and edge-computing research publication record.
  5. International Environmental Scientists Award. Official award website and nomination information.
    https://environmentalscientists.org/

Ali Danandeh Mehr | Environmental Science | Best Researcher Award

Published on by Environmental Scientists

Prof. Dr. Ali Danandeh Mehr | Environmental Science | Best Researcher Award

Professor | The University of Antalya Bilim University | Turkey

Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability.

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Nazmunnahar Nazmunnahar | Environmental Science | Research Excellence Award

Published on by Environmental Scientists

Mrs. Nazmunnahar Nazmunnahar | Environmental Science | Research Excellence Award

PhD Candidate | The University of Manchester | United Kingdom

Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations.

Julia Grosinger | Environmental Science | Research Excellence Award

Published on by Environmental Scientists

Mrs. Julia Grosinger | Environmental Science | Research Excellence Award

Investigadora | The University of  ICTA Universitat Autonoma De Barcelona | Spain

Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems.

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Zhujun Gu | Environmental Science | Research Excellence Award

Published on by Environmental Scientists

Prof. Dr. Zhujun Gu | Environmental Science | Research Excellence Award

Director | The University of Pearl River Water Resources Research Institute | China

Prof. Dr. Zhujun Gu is an accomplished environmental scientist known for his contributions to AI-based remote sensing and ecological monitoring systems. His research focuses on vegetation structure estimation, soil and water conservation, and intelligent supervision of river–lake ecosystems using advanced data-driven approaches. With 33 publications, 503 citations, and an h-index of 14, his work reflects consistent scientific influence and innovation. He pioneered 3D vegetation volume analysis, improving the accuracy of environmental modeling and conservation strategies. His methodologies integrate multi-angle imaging, UAV data, and AI tools to enhance decision-making in environmental management. His research supports sustainable development by providing scalable solutions for ecological restoration, resource monitoring, and environmental protection across diverse geographic regions.

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Mapping Tropical Dry Forest Succession Using Multiple Criteria Spectral Mixture Analysis

– ISPRS Journal of Photogrammetry and Remote Sensing, 2015

Azadeh Kazemi | Environmental modelling | Editorial Board Member

Published on by Environmental Scientists

Dr. Azadeh Kazemi | Environmental modelling | Editorial Board Member

Associate Professor| Arak University | Iran

Dr. Azadeh Kazemi is an accomplished Associate Professor whose research advances the fields of remote sensing, geospatial analysis, and environmental modelling with a strong interdisciplinary perspective. Her work integrates multispectral and hyperspectral imagery for water quality assessment, land use and land cover monitoring, and the detection of environmental pollution across diverse ecological systems. She specializes in spatiotemporal analysis of environmental dynamics, climate-change impact evaluation, and the development of GIS-based decision-support tools for natural resource management. A significant part of her scholarship focuses on the integration of emerging technologies, including artificial intelligence, machine learning, UAVs, and CubeSat platforms, to enhance precision environmental monitoring and automated change-detection capabilities. Her scientific influence is reflected in her citation record, with 171 citations in total and 154 citations since 2020, along with an h-index of 7 (6 since 2020) and an i10-index of 4 (4 since 2020). She contributes to sustainable resource management research through studies on ecosystem service assessment, watershed management, environmental impact assessment methodologies, and strategies that support climate adaptation and mitigation. Her interests extend to socio-ecological interactions, urban environmental planning, and community-based approaches to natural resource governance. She has authored impactful publications on urban heat islands, ecological risk assessment, air and water quality modelling, soil salinity mapping, habitat analysis, industrial pollution, remote sensing optimization, and environmental health risk evaluations using probabilistic and machine-learning frameworks. Her wider contributions include research on green space distribution, heavy-metal contamination, renewable energy site selection, eco-tourism sustainability, and policy-support tools addressing complex environmental challenges. Through her extensive research output and innovative integration of technology, she continues to advance sustainable environmental management globally.

Profile: Google Scholar

Featured Publications

Aghmashhadi, A. H., Zahedi, S., Kazemi, A., Fürst, C., & Cirella, G. T. (2022). Conflict analysis of physical industrial land development policy using game theory and graph model for conflict resolution in Markazi Province. Land, 11(4), 501.

Mohammadpour, A., Abbasi, F., Gili, M. R., Kazemi, A., & Bell, M. L. (2024). Evaluation of concentration and characterization of potential toxic elements and fluorine in ambient air dust from Iran’s industrial capital: A health risk assessment using geospatial and statistical modelling. International Journal of Applied Earth Observation and Geoinformation, 132, 103965.

Mohammadpour, A., Kazemi, A., Baghapour, M. A., Samaei, M. R., Kannan, K., & others. (2024). Bioengineered FeZn/GA@Cu nanocomposite utilizing spent coffee ground extract and gum arabic: Enhanced nitrate removal via (RSM) and machine learning optimization. International Journal of Biological Macromolecules, 277, 134060.

Kazemi, A., & Ghorbanpour, M. (2017). Introduction to environmental challenges in all over the world. In Medicinal plants and environmental challenges (pp. 25–48).

Zare Abianeh, H., Sabziparvar, A., Marofi, S., Ghiyami, F., Mirmasoud, S. S., & others. (2015). Analyzing and monitoring the meteorological droughts in the region of Sistan and Balouchestan. Environmental Science and Technology Quarterly, 17(1), 49–61.

Wenyuan Zhang | Global Earth Observation | Best Researcher Award

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Assoc. Prof. Dr. Wenyuan Zhang | Global Earth Observation | Best Researcher Award

Associate Professor | China University of Mining and Technology | China

Assoc. Prof. Dr. Wenyuan Zhang serves as an Associate Professor and Master’s Supervisor at the School of Environment and Spatial Informatics, China University of Mining and Technology (CUMT). He earned his Ph.D. through the prestigious CUMT–ETH Zurich Joint Program and completed his postdoctoral research at the Xi’an Research Institute of Surveying and Mapping. His research focuses on GNSS remote sensing, multi-scale meteorology, water vapor detection, and climate change applications, emphasizing advanced data fusion and satellite geodesy. Assoc. Prof. Dr. Wenyuan Zhang has authored over 16 peer-reviewed publications, including 10 SCI-indexed papers, six of which appear in top-tier CAS journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Geodesy, and GPS Solutions. His innovative work on multi-source resilient fusion techniques has significantly advanced the precision of GNSS water vapor retrieval, providing vital insights into atmospheric processes and climate monitoring. With a total of 210 citations, an h-index of 8, and an i10-index of 7, he has made a notable mark in the field of environmental and geodetic sciences. His achievements include winning the Jiangsu Outstanding Doctoral Dissertation Award and the National Ph.D. Scholarship. Beyond his research, Assoc. Prof. Dr. Wenyuan Zhang actively contributes as a reviewer for leading international journals and serves as a member of the IAG Working Group, promoting interdisciplinary collaboration in geodesy and environmental science. His dedication to advancing GNSS-based climate applications continues to strengthen the integration of geospatial technologies in global climate research.

Profiles: Google Scholar | Orcid | Researchgate

Featured Publications