Assoc. Prof. Dr. Omid Mahdi Ebadati E | Computer Science | Best Researcher Award
Associate Professor at Kharazmi University, Iran
Dr. Omid Mahdi Ebadati E. is an accomplished Associate Professor in Computer Science and a prominent academic leader at the Department of Operation Management and Information Technology at Kharazmi University. He also serves as an auditing board member and holds editorial board positions at the Journal of Information Systems and Technology (JIST) and Anti-Poverty journals. A senior member of IEEE, he is recognized for his broad contributions across artificial intelligence, cyber-physical systems, and data science. With internationally acknowledged certifications including Microsoft Certified IT Professional (MCITP), MCSE, MCSA, and Cisco CCNA, Dr. Ebadati brings both academic depth and industry-standard technological proficiency to his interdisciplinary work in computer science and information systems.
Education
Dr. Ebadati pursued his higher education in India, earning his Doctor of Philosophy in Computer Science from Jamia Hamdard University in 2012, following a Master’s degree in Computer Science from the same institution in 2008, where he was awarded the First Division Student Award. His academic journey began with a Bachelor of Computer Applications from VMU, Tamil Nadu, in 2006. His academic theses have consistently reflected his progressive research direction, focusing on wireless platforms and J2ME development during his undergraduate years, advancing to network security for his Master’s work, and culminating in a focus on artificial intelligence in his Ph.D. These academic foundations have enabled him to pioneer research in cutting-edge technological domains, particularly in autonomous systems and intelligent infrastructure.
Experience
With over a decade of teaching experience, Dr. Ebadati has taught a diverse range of undergraduate and postgraduate courses. His expertise spans machine learning, artificial intelligence, metaheuristic algorithms, data mining, network and information security, cyber laws and ethics, and ERP systems. His pedagogical philosophy is deeply rooted in integrating academic theory with real-world application. His ability to blend fundamental computing knowledge with advanced, application-oriented insights makes him a highly regarded educator and mentor. Furthermore, his curriculum development includes advanced modules on IT fundamentals, e-commerce technologies, and object-oriented programming, tailored to meet the evolving needs of the digital economy.
Research Interest
Dr. Ebadati’s research interests center around artificial intelligence, cyber-physical systems, data mining, information security, intelligent transportation, and autonomous systems. His recent focus has been on designing AI-driven digital twin architectures for self-driving vehicles and developing perception system frameworks using multi-agent systems. In addition, his work has examined the implications of InsurTech, fraud detection in credit systems, and machine learning-based risk analysis in the financial sector. He also explores the role of AI in public policy and subsidy systems, combining technical methodologies with socio-economic insights to shape inclusive digital transformations. His research is a balanced integration of theoretical advancement and practical relevance, often addressing the real-world challenges faced by industries and governments alike.
Award
Throughout his career, Dr. Ebadati has earned numerous accolades. In 2024, he was honored with the “Best National Research Project” award by Kharazmi University. In 2023, he received the “Suriya Award” from the Ministry of Science, Research and Technology for leading international scientific cooperation and was also recognized with the “Best National Award in Cooperation with Society & Industry.” His achievements in academia also include the “Best Teacher Award” and “Top Entrepreneur Award” in 2019 and the “Best Researcher Award” from the University of Economic Sciences in 2014. His consistent academic excellence was recognized multiple times during his studies in India through several First Academic Achievement awards from Jamia Hamdard University.
Publication
Dr. Ebadati has published several high-impact research papers in internationally recognized journals. His 2025 publication “Towards a Data-Driven Digital Twin AI-Based Architecture for Self-Driving Vehicles” in IET Intelligent Transport Systems reflects his forward-thinking contributions to intelligent mobility. In 2024, he proposed a “Perception System Architecture for Self-Driving Vehicles” in Autonomous Agents and Multi-Agent Systems. His 2023 work titled “Autonomous Vehicles’ Object Detection Architectures Ranking Based on Multi-Criteria Decision-Making Techniques” was published in the International Journal of Information Technology. Additionally, his papers on content filtering using SURF and Haar wavelet (2023, Romanian Journal of Information Science and Technology) and the hybrid modeling of InsurTech impacts (2023, Iranian Journal of Insurance Research) further illustrate his versatile research profile. Other notable publications include “Investigating the Smoothing Thresholds That Affect Banks’ Credit Scoring Models” (2023, Journal of AI & Data Mining) and “Determination of Households’ Benefits from Subsidies Using Data Mining Approaches” (2022, Journal of Information Technology & Politics), which have been cited across studies in AI governance, FinTech, and policy analysis.
Conclusion
Dr. Omid Mahdi Ebadati E. stands out as a visionary scholar whose interdisciplinary approach to AI and data science addresses real-world challenges across transportation, finance, security, and governance. His dedication to excellence in research, teaching, and public engagement has earned him widespread recognition in academia and beyond. His continuous pursuit of innovation, combined with his international collaborations and contributions to global knowledge systems, makes him a deserving nominee for the Excellence in Research Award in AI Data Science.