Amir M. Amiri, M.Sc., Ph.D., is a Senior Data Scientist at Microsoft Research. Before joining Microsoft, Dr. Amiri was part of the Algorithm Engineer team at Draeger Medical System focusing on developing AI algorithms for patient monitoring systems. Prior to that, he was a full-time faculty at Widener University where he taught artificial intelligence, healthcare data analysis, and medical device innovation. Dr. Amiri was honored to receive an industrial fund to develop the first smart feeding assistant robot with his undergraduate students.
Dr. Amiri has a BSc. in Electrical Engineering, M.Sc. in Biomedical Engineering, and Ph.D. in Electronic and Computer Engineering. His doctoral thesis emphasized on the utilization of various (and combination) of machine learning and data mining techniques on cardiovascular data to develop an intelligent diagnostic and preventive system to detect congenital heart disease in newborns at the earliest stage of life. He also worked as a postdoctoral research fellow for three years at Temple University and the University of Rhode Island where his research focused on IoMT and remote monitoring systems for individuals with Spinal cord injury, Schizophrenia, Autism, Suicidal behavior, and Parkinson.
Over the years, he has worked on a broad range of artificial intelligence techniques to develop intelligent platforms in IoMT, remote monitoring systems, diagnostic tools, and clinical decision support systems. Dr. Amiri has co-authored over 30 technical publications. He received the Editorial’s pick paper of the PLOS Veterans Disability & Rehabilitation Research Channel, and selected as the top 10th outstanding reviewer for the journal of Computers in Biology and Medicine. He also served as publication chair of GlobalSIP2017 in Symposium on Big Data Analytics for IoT Healthcare and as the program committee of the international workshop on the IoT Health care, SMARTCOMP 2016.