Ms. Mariem Mard | Supply Chain Management | Best Review Paper Award
Faculty of Economics and Management of Sfax |Tunisia
Mariem Mrad is an interdisciplinary researcher at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia. She combines expertise in economics, industrial automation, artificial intelligence, and sustainable supply chain management. Her work explores innovative approaches to optimizing industrial systems while minimizing environmental impact, with a strong focus on low-carbon logistics. Through her academic journey, she has developed a unique capacity to merge engineering principles with economic analysis, enabling comprehensive solutions for complex supply chain challenges. Her recent publications investigate AI- and robotics-driven strategies for reducing carbon emissions, offering a bridge between advanced technology and environmental responsibility. Dr. Mrad has shared her findings at leading international conferences and collaborated with global research institutions. Her career reflects a commitment to combining rigorous research with practical application, advancing both industrial efficiency and ecological sustainability in a rapidly evolving technological landscape.
Profile
ORCID
Education
Mariem Mrad holds a doctoral degree in economics from the Faculty of Economics and Management of Sfax, where her research focused on neural network modeling for the design, optimization, and performance improvement of supply chains. Her work received the highest academic distinction, recognizing its originality and impact in the field. She also earned an engineering degree in electrical automation from the National School of Engineers of Gabès, where she completed a notable final project on the practical implementation of a three-degree-of-freedom helicopter for control applications, undertaken in collaboration with the University of Poitiers in France. Prior to that, she completed a preparatory cycle in physics-chemistry at the Faculty of Sciences of Sfax, enabling her entry into the national engineering program. Her academic foundation began with a baccalaureate in mathematics, providing strong analytical skills that underpin her interdisciplinary research connecting economics, automation, and artificial intelligence applications in supply chain systems.
Experience
Mariem Mrad’s academic career spans teaching, research, and international collaboration. She serves as an assistant lecturer at the National School of Engineers of Gabès, delivering courses on business culture, entrepreneurship, and project development. She has also held visiting lecturer roles at the University of Sfax, where she taught entrepreneurial culture, business model development, and heritage marketing. Her earlier teaching includes management fundamentals and human resource management at the Higher Institute of Business Administration in Gafsa. Beyond teaching, she has engaged in research stays at institutions such as the TREE Laboratory at the University of Pau et des Pays de l’Adour and the LIAS Laboratory at the University of Poitiers, contributing to projects at the intersection of automation, AI, and sustainability. She has authored peer-reviewed journal articles and presented at IEEE and international conferences, building a profile that blends academic scholarship with applied innovation in supply chain and industrial systems
Awards and Honors
Mariem Mrad’s academic excellence has been recognized through distinctions at multiple stages of her career. Her doctoral thesis in economics received the highest honors with congratulations from the examination jury, reflecting the originality and applied value of her research on neural network modeling for supply chain optimization. During her engineering studies in electrical automation, she earned a very good distinction for her final year project on helicopter control implementation, developed in collaboration with a French research laboratory. She has been selected for competitive international research stays, including placements at leading laboratories in France, where she advanced studies in energy transitions, automation, and AI applications. Her work has been presented at prominent IEEE and international conferences, underscoring its scientific relevance. These recognitions highlight her ability to merge technical innovation with sustainable solutions, earning her a reputation as a researcher who contributes meaningfully to both academic and industrial advancements
Research Focus
Mariem Mrad’s research lies at the crossroads of supply chain management, artificial intelligence, robotics, and sustainable development. She investigates how advanced computational models, particularly neural networks, can enhance the design, optimization, and resilience of industrial supply chains. A significant part of her work explores AI- and robotics-enabled strategies for reducing carbon emissions, aligning technological innovation with environmental responsibility. She studies performance prediction, risk assessment, and demand forecasting in supply chains, integrating automation techniques to improve operational efficiency. Her interest in green innovation drives her to examine how digital technologies and Industry 4.0 concepts can transition traditional logistics toward low-carbon, adaptive systems. She collaborates internationally on projects that apply cyber-physical systems, generative AI, and SCOR® metrics to industrial contexts. By combining engineering skills with economic analysis, her research contributes both theoretical insights and practical frameworks for achieving more sustainable and efficient global supply chain networks.
Publications
Title: A Comprehensive Survey of Artificial Intelligence and Robotics for Reducing Carbon Emissions in Supply Chain Management
Year:2025
Conclusion
Mariem Mrad is an accomplished interdisciplinary researcher whose integration of economics, engineering, artificial intelligence, and sustainable supply chain management positions her as a leader in developing innovative, environmentally responsible industrial solutions