Hello! My name is Amir Zadeh. I am an Artificial Intelligence Ph.D candidate at Language Technologies Institute, School of Computer Science, Carnegie Mellon University. My adviser is Louis-Philippe Morency. My research is focused on multimodal machine learning both theory and applied. From theoretical perspective, I am interested in statistical analysis of multimodal learning and finding architectures that can meaningfully learn from multiple modalities. From application perspective, my work is focused on making Artificial Social Intelligence a reality. One particular areas of interest for me is computational modeling of multimodal language, which involves modalities of language, vision and acoustic. My research spans different areas of natural language processing, computer vision and speech processing. I started my Ph.D in January 2015. Prior to that, I received my Bachelors of Science from University of Tehran, ECE department, where I was a member of Advanced Robotics Laboratory. Aside my academic life, I am an aviation and equestrian enthusiast, currently pursuing both. 



EMNLP 2018: One paper accepted as oral presentation.


ACL 2018: Proceedings of the First Grand-Challenge and Workshop on Human Multimodal Language (Challenge-HML) now available to download.


ACL 2018: Two papers accepted as oral presentations.


CMU: I will be co-teaching Advanced Multimodal Machine Learning 11-777

Please reload