Mohammad Naderi Dehkordi

Mohammad Naderi Dehkordi is an Associate Professor of Computer Science whose research centers on artificial intelligence, machine learning, and privacy-preserving data mining. His work explores the intersection of data privacy, security, and algorithmic innovation, with a focus on developing techniques that protect sensitive information while enabling effective data analysis. He has contributed extensively to advancing methods in anonymization, encryption, and privacy-preserving computation, and his research has been applied to domains including healthcare, telecommunications, and smart city systems.

Dr. Naderi Dehkordi is an active scholar and author of numerous peer-reviewed publications in leading journals such as Expert Systems with Applications, IEEE Access, and The Journal of Supercomputing. He has supervised extensive graduate research, guiding both Ph.D. and master’s students in areas spanning advanced machine learning models, social network anonymization, and secure data analytics. In addition to research, he is a dedicated educator, designing courses that integrate technical expertise with ethical considerations in AI and data science. His work continues to bridge theory and practice, emphasizing responsible innovation in technology and its real-world impact.