Essam Abdul-Hafeez | Agriculture | Innovative Research Award

Posted on by Food Scientist

Innovative Research Award

Essam Abdul-Hafeez
Affiliation Qassim University
Country Saudi Arabia
Scopus ID 56901347800
Documents 2
Citations 4
h-index 1
Subject Area Sustainable Food Systems and Agriculture
Event International Food Scientist Awards
ORCID 0000-0003-4744-4672

Essam Abdul-Hafeez

Qassim University, Saudi Arabia

The Innovative Research Award article summarizes the scholarly profile of Essam Abdul-Hafeez, a researcher affiliated with Qassim University, Saudi Arabia. His documented research activity contributes to the field of Sustainable Food Systems and Agriculture, with indexed scholarly publications, citation records, and recognized research outputs. The information presented below is organized in a neutral encyclopedic format using publicly available scholarly metadata and academic identifiers.[1]

Abstract

Essam Abdul-Hafeez has established a developing research profile within sustainable food systems and agriculture through peer-reviewed publications indexed in international bibliographic databases. His documented scholarly activity demonstrates engagement with research themes relevant to agricultural sustainability, food production, and related scientific disciplines. Citation metrics, publication records, and persistent researcher identifiers collectively support transparent evaluation of academic contributions.[1][2]

Keywords

Sustainable Food Systems, Agriculture, Food Science, Research Impact, Scopus Author Profile, Academic Recognition

Introduction

Academic recognition programs frequently consider publication quality, citation performance, scholarly visibility, and disciplinary relevance when evaluating research excellence. Persistent identifiers such as Scopus Author IDs and ORCID records contribute to transparent attribution of scholarly outputs and facilitate international research assessment.[1][3]

Research Profile

The available bibliometric profile indicates that Essam Abdul-Hafeez has authored two indexed publications with four recorded citations and an h-index of one according to the supplied Scopus profile. These metrics provide a quantitative overview of scholarly activity while complementing qualitative evaluation of research relevance and contribution.[1]

  • Affiliation: Qassim University
  • Research Area: Sustainable Food Systems and Agriculture
  • Indexed Documents: 2
  • Total Citations: 4
  • h-index: 1

Research Contributions

The research profile reflects contributions toward sustainable agricultural practices and food-related scientific inquiry. Available publications contribute to the expanding body of literature supporting evidence-based approaches to food production, environmental sustainability, and agricultural development. These contributions are evaluated using internationally recognized bibliographic databases and persistent scholarly identifiers.[1][2]

Publications

The researcher has two indexed scholarly documents. Readers are encouraged to consult the official Scopus author profile and ORCID record for publication titles, indexing details, citation tracking, and any future additions to the research portfolio.[1][2]

Research Impact

Bibliometric indicators, including citation counts and the h-index, provide measurable evidence of scholarly visibility while acknowledging that research quality extends beyond numerical indicators alone. Persistent identifiers further enhance discoverability, citation tracking, and research transparency across international scholarly databases.[1][3]

Award Suitability

Based on the available bibliometric information, Essam Abdul-Hafeez demonstrates documented scholarly activity in sustainable food systems and agriculture. Eligibility and final selection for the International Food Scientist Awards remain subject to the official evaluation procedures, assessment criteria, peer review, and governing policies established by the award organizers.[4]

Conclusion

This academic profile presents a structured overview of the available scholarly record associated with Essam Abdul-Hafeez. By combining institutional affiliation, bibliometric indicators, persistent researcher identifiers, and external scholarly resources, the article provides a concise reference suitable for academic recognition and informational purposes while maintaining a neutral encyclopedic style.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Essam Abdul-Hafeez, Author ID 56901347800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56901347800
  2. ORCID. (n.d.). ORCID record of Essam Abdul-Hafeez.
    https://orcid.org/0000-0003-4744-4672
  3. International DOI Foundation. (n.d.). Digital Object Identifier System.
  4. Composition of Biologically Active Substances and Antiradical Activity of Extracts from Five Species of Plants of the Asparagaceae Family.
    https://link.springer.com/article/10.1134/S1068162022070093

Adeel Khalid | Precision Agriculture | Innovative Research Award

Posted on by Food Scientist

Innovative Research Award

Adeel Khalid
Affiliation Kennesaw State University
Country United States
Scopus ID 49861588300
Documents 57
Citations 99
h-index 4
Subject Area Precision Agriculture and Food Production
Event International Food Scientist Awards
ORCID 0009-0001-3322-6677

Adeel Khalid

Kennesaw State University, United States

Adeel Khalid is a researcher specializing in precision agriculture, artificial intelligence, computer vision, remote sensing, and disaster assessment. His research integrates machine learning, UAV-based imaging, and intelligent sensing technologies to develop practical solutions for agricultural monitoring, infrastructure analysis, and environmental management. Through interdisciplinary research, he contributes to advancing data-driven methodologies that support sustainable food production, smart resource management, and innovative scientific applications.[1]

Abstract

This article summarizes the academic profile of Adeel Khalid in recognition of contributions to intelligent sensing, precision agriculture, aerial imaging, disaster assessment, and computer vision research. His publication portfolio illustrates an interdisciplinary approach combining artificial intelligence, unmanned aerial vehicles, geospatial analysis, and data-driven decision support systems. Recent publications demonstrate active engagement in developing practical AI methodologies for infrastructure inspection, disaster response, and agricultural monitoring while maintaining relevance to sustainable food production and environmental management.[1][2]

Keywords

Precision Agriculture; Artificial Intelligence; Food Production; UAV Imaging; Computer Vision; Deep Learning; Remote Sensing; Disaster Assessment; Machine Learning; Smart Agriculture; Multimodal AI; Infrastructure Monitoring.

Introduction

The integration of artificial intelligence into agricultural and environmental systems has accelerated advances in sustainable production, autonomous monitoring, and evidence-based resource management. Researchers working across computer science and agricultural engineering increasingly contribute to technologies capable of improving operational efficiency while supporting resilience against environmental and infrastructural challenges. Adeel Khalid’s research aligns with these developments through applications involving aerial imagery, intelligent sensing, and AI-assisted analytics.[2][3]

Research Profile

According to the provided scholarly metrics, the researcher has authored 57 indexed publications that have received 99 citations and achieved an h-index of 4. These indicators reflect continuing scholarly activity across interdisciplinary research themes involving precision agriculture, AI-enabled analytics, image processing, disaster management, and intelligent monitoring technologies.[1]

Research Contributions

  • Development of AI-based image analysis techniques for disaster assessment using UAV imagery.
  • Research on multimodal artificial intelligence systems supporting efficient disaster response.
  • Applications of computer vision for aerial pedestrian detection and automated enumeration.
  • Integration of intelligent sensing technologies relevant to precision agriculture and food production.
  • Advancement of machine learning methodologies applicable to remote sensing and infrastructure analysis.

Publications

  1. AFTERMAP: A FEMA-Aligned Dataset for Damaged Structure Segmentation in UAV Imagery.
    Buildings (2026). DOI: 10.3390/buildings16152943.
  2. TriDA: Privacy-Aware and Efficient Multimodal AI for Disaster Assessment.
    Mathematics (2026). DOI: 10.3390/math14122064.
  3. AI-assisted pedestrian detection and enumeration from aerial perspectives.
    International Journal of Advanced Robotic Systems (2026). DOI: 10.1177/17298806261453409.

Research Impact

The combination of scholarly publications, citation metrics, and interdisciplinary collaborations indicates sustained research activity in emerging AI-enabled technologies relevant to agriculture, disaster resilience, and intelligent infrastructure management. Recent publications illustrate ongoing productivity and emphasize practical solutions using multimodal artificial intelligence, UAV imagery, and computer vision techniques that have potential applications across food systems and environmental monitoring.[2][4]

Award Suitability

Based on the available scholarly profile, publication record, interdisciplinary research focus, and contributions toward intelligent technologies applicable to precision agriculture and food production, Adeel Khalid demonstrates characteristics that align with the objectives of the International Food Scientist Awards. The portfolio reflects innovation through AI-assisted analytical methodologies while supporting broader goals associated with sustainable research and technological advancement.[1][4]

Conclusion

Adeel Khalid’s academic profile reflects interdisciplinary scholarship at the intersection of artificial intelligence, computer vision, precision agriculture, and disaster assessment. The combination of indexed publications, measurable research indicators, and recent peer-reviewed contributions illustrates a continuing commitment to developing practical technologies capable of supporting resilient infrastructure, sustainable agricultural systems, and evidence-based scientific decision making.

References

  1. Elsevier. (n.d.). Scopus author details: Adeel Khalid, Author ID 49861588300. Scopus.
    https://www.scopus.com/pages/authors/49861588300
  2. Khalid, A. (2026). AFTERMAP: A FEMA-Aligned Dataset for Damaged Structure Segmentation in UAV Imagery. Buildings.
    DOI: https://doi.org/10.3390/buildings16152943
  3. Khalid, A. (2026). TriDA: Privacy-Aware and Efficient Multimodal AI for Disaster Assessment. Mathematics. DOI: https://doi.org/10.3390/math14122064
  4. Khalid, A. (2026). AI-assisted pedestrian detection and enumeration from aerial perspectives. International Journal of Advanced Robotic Systems.
    DOI: https://doi.org/10.1177/17298806261453409