Ph.D., Electrical Engineering – State University of New York at Binghamton
M.S., Electrical Engineering – Shiraz University
B.S., Electrical Engineering – Isfahan University of Technology
Areas of Interest in Data Science
Data Analytics, Data Science, Machine Learning, AI, Speech Recognition.
Upon graduating with a degree in electrical engineering, Dr. Sadeghian worked for seven years in several industries as a Senior Industrial Automation Engineer. Later, he pursued his PhD in signal processing and speech recognition. During his PhD, Dr. Sadeghian worked on speech features as the baseline to diagnose the speech delay in children and Alzheimer’s disease in elderly people. To address the issues properly, he conducted deep learning networks and has published several papers that proved his hypothesis of using speech recognition in diagnosing health disorders in early stages. He is currently the lead instructor of a deep learning course where he can share his enthusiasm and expertise with young researchers. He has published several papers on incorporating deep learning techniques to address health disorders. He is also the program chair of IEEE cloud summit.