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About

I’m a  PhD Student at Rutgers University. My main research  interest lies in  developing machine learning and deep learning algorithms for  solving problems in Computer Vision and  Natural Language Processing.  More specifically, I'm currently focused on developing deep generative models that can help agents discover the world around them without any supervision. Before joining Rutgers, I obtained my B.Sc in Computer Engineering from Sharif University of Technology in 2016. I’m also a member of National Organization for  Development of Exceptional Talents (NODET) since 2004. In my free time I travel and think about how to use daily experiences to solve AI problems!

I’m also a reviewer for AISTAT, EMNLP, NAACL and LDK.

I am always looking for exciting research and professional opportunities, so if you want to get in touch, please look at my contact page. [Curriculum Vitae]

contact: sepehr.janghorbani@rutgers.edu

News!

  • Our paper on Scalable Object-Oriented Sequential Generative Models will be presented at ICLR 2020.

  • I’ll be presenting Topic Spotting using Hierarchical Networks with Self Attention at NAACL2019.

  • Our paper Domain Authoring Assistant for Virtual Intelligent Agents  is accepted as an Oral presentation at AAMAS 2019.

  • I’ll be joining Disney Research as a Research Intern for summer 2018.

  • Awarded 5000$ Fellowship for Excellence.