Husham Saied | Smart Agriculture | Innovative Research Award

Innovative Research Award

Husham Saied
Affiliation Prince Sultan Military College for Health Science
Country Saudi Arabia
Scopus ID N/A
Documents 74
Citations 978
h-index 18
Subject Area Smart Agriculture
Event Agri Scientist Awards
ORCID 0000-0001-7642-5791

Husham Saied is affiliated with the Prince Sultan Military College for Health Science, Saudi Arabia, and is recognized for contributions within smart agriculture and interdisciplinary scientific research. His academic profile demonstrates measurable publication performance, citation visibility, and participation in applied agricultural innovation and research dissemination activities internationally.[1]

Abstract

This article presents an academic overview of Husham Saied and his scholarly involvement within smart agriculture research. The profile highlights indexed publications, measurable citation performance, and interdisciplinary scientific participation associated with agricultural innovation, engineering applications, and technology-driven sustainability initiatives supporting contemporary agricultural research development internationally.[1]

Keywords

Smart Agriculture; Agricultural Innovation; Scientific Publications; Research Metrics; Citation Analysis; Sustainable Agriculture; Precision Farming; Applied Science; Academic Recognition; Agricultural Engineering.

Introduction

Modern agricultural research increasingly integrates scientific innovation, technological systems, and interdisciplinary methodologies to improve sustainability and productivity. Researchers contributing to smart agriculture support advancements involving precision farming, environmental monitoring, agricultural management, and data-driven cultivation systems.[2]

Research Profile

These measurable academic indicators reflect sustained scientific engagement, publication visibility, and recognized participation within interdisciplinary agricultural and applied scientific research communities internationally.[1]

Research Contributions

The available academic profile indicates contributions related to smart agriculture, sustainable farming technologies, and interdisciplinary agricultural systems. Research activities within these fields commonly involve environmental assessment, precision agriculture, digital monitoring technologies, and productivity optimization.[3]

Publications

Publication records available through recognized research databases demonstrate involvement within peer-reviewed scholarly communication supporting agricultural science, sustainability research, interdisciplinary methodologies, and technical innovation associated with contemporary agricultural systems.[1]

Research Impact

Citation performance and scholarly visibility provide measurable evidence regarding research dissemination and academic influence.[4] Smart agriculture research frequently contributes toward broader sustainability objectives, technological integration, and innovation-oriented agricultural development internationally.[1]

Award Suitability

Based on available scholarly indicators, Husham Saied demonstrates characteristics commonly associated with academic recognition programs emphasizing scientific contribution, interdisciplinary collaboration, and measurable research dissemination. [2]

Conclusion

Husham Saied’s scholarly profile reflects active participation within smart agriculture and interdisciplinary scientific research.[5] The documented metrics, including publication count, citation indicators, and institutional affiliation, demonstrate measurable academic engagement. [1]

References

    1. Google Scholar. (n.d.). Google Scholar profile: Husham Saied. Google Scholar.
      https://scholar.google.com/citations?hl=en&user=Vt_QYQ0AAAAJ
    2. ORCID. (n.d.). ORCID profile record for Husham Saied.
      https://orcid.org/0000-0001-7642-5791
    3. Wójcik, W., & Smolarz, A. (2017). Information technology in medical diagnostics. CRC Press.
      https://scholar.google.com/
    4. Saied, H. F. I., Al_Omari, A. K., & Avrunin, O. G. (2011). An attempt of the determination of aerodynamic characteristics of nasal airways. Image Processing and Communications Challenges 3, 311-322.
      https://doi.org/10.1007/978-3-642-23154-4_35
    5. Avrunin, O. G., Alkhorayef, M., Saied, H. F. I., & Tymkovych, M. Y. (2015). The surgical navigation system with optical position determination technology and sources of errors. Journal of Medical Imaging and Health Informatics, 5(4), 689-696.
      https://doi.org/10.1166/jmihi.2015.1456

Marzena Banach | Sustainable Agriculture | Research Excellence Award

Assist. Prof. Dr. Marzena Banach | Sustainable Agriculture | Research Excellence Award

Assistant Professor | Poznan University of Technology | Poland

Dr. Marzena Banach is a researcher specializing in smart city technologies, environmental monitoring systems, and hardware-efficient artificial intelligence. Her research focuses on intelligent air-pollution sensing, remote sensing analytics, low-power embedded systems, and AI-driven environmental prediction models, with emerging interests in sustainable urban infrastructure and smart architectural solutions. She has held key research roles in multidisciplinary projects addressing smart cities, intelligent transportation systems, and environmental data acquisition, contributing extensively to both academic and applied research initiatives. Dr. Banach’s major contributions include the development of hardware-optimized sensor architectures, novel neural-network training schemes for air-quality prediction, and high-resolution pollution mapping frameworks deployed in dense urban environments. Her work has advanced real-time environmental monitoring, informed sustainable urban planning, and strengthened data-driven decision-making in smart city ecosystems. Through her research, she aims to bridge intelligent electronics, environmental sustainability, and urban innovation to support resilient, technology-enabled cities worldwide.

Citation Metrics (Scopus)

100

70

60

30

0

Citations
86

Documents
21

h-index
6

🟦 Citations
🟥 Documents
🟩 h-index


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Featured Publications

MAHAMAT ABDOUNA – Sustainable Agriculture – Best Researcher Award

MAHAMAT ABDOUNA - Sustainable Agriculture - Best Researcher Award

Virtual University of Chad

AUTHOR PROFILE

ORCID

🧾 SUMMARY

Mahamat Abdouna is a dedicated computer science professional with extensive experience in digital systems, education, and research. He currently serves as the Head of the Digital Technology Unit at the Virtual University of Chad. Known for his leadership and problem-solving skills, he actively contributes to educational transformation and digital infrastructure. His passion lies in leveraging technology for sustainable solutions, particularly in transhumance and livestock management. He is seeking opportunities to expand his knowledge and collaborate internationally on impactful digital innovations.

🎓 EDUCATION

Mahamat Abdouna is pursuing a Ph.D. in Mathematics, Computer Science, and Applications at the University of N’Djamena, with a focus on dematerialized marking of transhumance corridors. He also holds a Master’s in Computer Networks and a Professional Bachelor's in Computer Science from INSTA, Chad. His academic path has been enriched through affiliations with LARTIC and international workshops. These educational milestones have laid a strong foundation for his research-driven and solution-oriented career in applied computer science and digital systems.

💼 PROFESSIONAL EXPERIENCE

Since 2020, Mahamat Abdouna has been a Laboratory Technician and later Head of the Digital Technology Unit at the Virtual University of Chad. His responsibilities include managing system infrastructure, cybersecurity, digital access, and e-learning environments. He has trained numerous students and educators in digital platforms, participated in examination and selection committees, and coordinated online assessments. His consistent leadership in digital transformation and technical training has significantly enhanced the university’s capacity to deliver modern, scalable education systems.

🔬 RESEARCH INTEREST

Mahamat Abdouna’s research focuses on intelligent systems in agriculture and livestock, specifically in transhumance corridor management using AI and agent-based models. He is interested in conflict prevention through digital mapping and reinforcement learning applications. His work bridges the gap between computer science and socio-environmental issues in Central Africa. By exploring innovative digital frameworks, he aims to contribute solutions to real-world challenges such as climate-resilient livestock mobility and cross-sectoral agricultural sustainability.

🏅 AWARD AND HONOR

Mahamat Abdouna has earned top honors in the “My Thesis in 180 Seconds” competition in 2023 and 2024, winning 1st prizes at AUF Chad. He represented Chad in the 10th edition held in Ivory Coast. His consistent excellence in public communication and scientific innovation has been widely recognized. These awards affirm his ability to present complex research in accessible ways, enhancing visibility and impact. He continues to receive invitations to prestigious academic events and international platforms.

🛠️ RESEARCH SKILL

Mahamat possesses strong technical skills in AI modeling, system architecture, and e-learning deployment. He is proficient in numerous programming languages (Python, C, SQL), web development, cybersecurity, and cloud technologies. His research toolbox includes UML, Merise, simulation, and agent-based modeling. He is highly skilled in integrating ICT with research for societal impact. His experience in deploying MOOC platforms and facilitating digital education workshops further reflects his multifaceted expertise in academic and practical computing domains.

📚 PUBLICATIONS

Mahamat has published in top-tier venues such as IEEE, MDPI, CSCI, and AFRICOMM. His work includes studies on reinforcement learning for transhumance, livestock monitoring technologies, and virtual fencing. His research contributions are widely recognized for their innovation and interdisciplinary relevance. Notably, his publications offer insights into sustainable livestock migration and data-driven agricultural systems. He collaborates with both local and international researchers, contributing to peer-reviewed journals and conferences that address digital solutions for environmental and agricultural challenges.

Title: Guiding Herds Through Transhumance Corridors: Harnessing Reinforcement Learning With Vicsek Model
Authors: Mahamat Abdouna, Azza Youssouf, Daouda Ahmat Mahamat
Journal/Conference: IEEE – The 7th International Conference on Pattern Analysis and Intelligent Systems

Title: Exploring the Potential of Agent-Based Models for the Problem of Transhumance Path Exits in Central Africa: Chad’s Routes as a Case Study
Authors: Mht Abdouna, Adrien Cotil, Hazael Jones, Bertrand Cloez
Journal/Conference: MDPI – AgriEngineering

Title: Algorithms and Technologies Behind Livestock Monitoring: A Systematic Literature Review
Authors: Mahamat Abdouna, Daouda Ahmat Mahamat, Brahim Issa Hassaballah
Journal/Conference: CSCI – International Conference on Computational Science and Computational Intelligence

Title: Towards Intelligent Livestock Migration in Sahalian Transhumance Corridors to Prevent Conflicts Between Farmers and Herders
Authors: Mahamat Abdouna, Azza Youssouf, Daouda Ahmat Mahamat
Journal/Conference: ASTI – Advances in Science, Technology & Innovation

Title: Virtual Fences: A Systematic Literature Review
Authors: Abdouna Mahamat, Daouda Ahmat, Bissyande Tegawende F.
Journal/Conference: ICST – AFRICOMM 2022 – International Conference on e-Infrastructure and e-Services for Developing Countries

🔚 CONCLUSION

Mahamat Abdouna is a promising researcher and digital systems innovator whose work intersects academic rigor with social relevance. His dedication to advancing digital education, environmental sustainability, and technological applications makes him an asset to the global research community. With a strong foundation in both theory and practice, he is well-positioned to lead impactful projects at national and international levels. His future goals include expanding collaborative networks and contributing to transformative solutions through science and technology.