Mohammad Amanzadeh


Program area(s):   

Art and Cultural Informatics


Graduate advisor:   Prof. George Francis, Math


My primary research interest is on using computing and information science to cooperate in solving the problems of natural sciences through Machine Learning and Scientific Visualization.

My PhD dissertation is about constructing a meta-realistic graphics interface for a Machine Learning algorithm to learn human motions. I hope to utilize the interface in constructing an application programming interface (API) that facilitates programming of the immersive virtual environments that require human-computer interaction through motion.