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.
đź’Ľ 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.
đź“š 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.