I’m a  PhD Student at Rutgers University (started 2017) 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.

contact: sepehr.janghorbani@rutgers.edu

[Download CV]



  • I'm actively looking for research internship in industry starting from Spring/Summer 2021.

  • I'll be presenting "SCALOR: Generative World Models with Scalable Object Representations" on Apr. 30th at ICLR 2020.

  • Our paper "SCALOR: Generative World Models with Scalable Object Representations" 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.