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 several AI conferences and journals including ICLR, AAAI, AISTAT, NAACL, Webconf, LDK, etc.

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

I'm currently working at Dataminr as a deep-learning research intern to work on exciting problems in the intersection of NLP and Computer Vision.


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  • I'm actively looking for research internship in industry for Fall2021 /Spring 2022.

  • I'll be joining Dataminr as a deep-learning research intern to work on some of the most cutting-edge problems in NLP and Computer Vision and their applications to crisis detection and prevention. 

  • 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.