Summary
Amirhossein Khalilian-gourtani is a postdoctoral researcher and machine learning engineer with nine years of experience developing interpretable, scalable algorithms at the intersection of electrical engineering, computer vision, and computational neuroscience. Based at NYU and consulting for Theta Neurotech, he designs optimization-driven deep learning and graph signal processing frameworks for neural signal analysis, image/video restoration, and speech decoding. His work has produced peer-reviewed publications, patents, and cross-disciplinary collaborations that translate theory into practical tools for academia and industry. Trained with an EE PhD and masters from NYU and a bachelor’s from Isfahan University of Technology, he blends rigorous mathematical foundations with hands-on engineering, often prioritizing model interpretability and real-time applicability in biomedical contexts.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at New York University
High School Diploma Mathematics and Physics, High School Diploma Mathematics and Physics at Ejei High School
Bachelor’s Degree Electrical and Electronics Engineering, Bachelor’s Degree Electrical and Electronics Engineering at Isfahan University of Technology
English, Persian