Florida Atlantic University | United States
Author Profile
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Early Academic Pursuits
Mohsen Ahmadi began his academic journey with a focus on industrial and mechanical engineering. He demonstrated early excellence, ranking first among master's students and earning membership in the National Elite Foundation of Iran.
Professional Endeavors
Ahmadi's professional endeavors span various fields, including industrial engineering, computer science, and healthcare engineering. He has presented papers at national and international conferences, contributed to reputable journals, and held editorial roles.
Contributions and Research Focus
Ahmadi's contributions are diverse, covering topics such as strategic planning, expert systems, and the application of artificial intelligence in various domains. His research focus includes the implementation of mathematical models in warehouse systems, healthcare service supply chain optimization, and the use of artificial intelligence in digital twin models for infrastructure systems.
Impact and Influence
Ahmadi's work has had a significant impact, as evidenced by his numerous awards and achievements. He has been recognized as one of the world's top scientists, listed among the top reviewers in prestigious journals, and awarded for the best paper on COVID-19.
Academic Cites
His research has garnered substantial citations, particularly in areas related to artificial intelligence, industrial engineering, and management. His papers have been cited extensively, contributing to the advancement of knowledge in his field.
Legacy and Future Contributions
Ahmadi's legacy lies in his interdisciplinary approach to research and his commitment to excellence. He has left a mark through his publications, editorial roles, and contributions to conferences. In the future, he is likely to continue shaping the landscape of artificial intelligence, industrial engineering, and related fields through his innovative research and leadership roles.
Artificial Intelligence
Ahmadi's expertise in artificial intelligence is evident through his involvement in various AI-related initiatives, including serving as a guest editor for special issues on AI applications in digital marketing and machine learning for human resource management. His work in AI has not only influenced academic discourse but also holds promise for addressing real-world challenges across different sectors.
Notable Publication
Mango Varieties Classification-Based Optimization with Transfer Learning and Deep Learning Approaches 2023 (5)