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Journal of Energy Transition and Net-Zero Technologies
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Omid Rahmani Seryasat (Ph.D.)

Omid Rahmani Seryasat

Affiliation: SHAMS University, Gonbad-e Kavus

University / Institution: SHAMS University

Department: Electrical and Computer Engineering

Designation: Assistant Professor

Email:

Country: Iran

Biography

Dr. Omid Rahmani Seryasat is an Assistant Professor in Electrical and Computer Engineering specializing in artificial intelligence, machine learning, biomedical image processing, fault diagnosis, and intelligent systems. He holds a Ph.D. in Electrical Engineering–Electronics, with doctoral research focused on AI-based classification of benign and malignant breast masses in mammograms.
He has authored more than 70 national and international publications, with 439+ citations, an H-index of 14, and an i10-index of 17. His research includes medical diagnosis systems, neural networks, support vector machines, pattern recognition, IoT, and fault-tolerant control.
Dr. Rahmani Seryasat has served as a university faculty member and lecturer at several institutions, contributed to multiple research projects, registered a patent for fuzzy servo valve design, authored technical books, and received awards including outstanding faculty and top researcher recognitions.