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About

I’m a final-year PhD Student at Rutgers University currently working on the design and development of machine learning and deep learning algorithms for solving problems in Computer Vision and Natural Language Processing. More specifically, my research focuses on self-supervised scene understanding,  language understanding, multimodal models, conversational AI and bias evaluation in deep models. Before joining Rutgers, I obtained my B.Sc in Computer Engineering from Sharif University of Technology in 2016.

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In my free time, I travel and think about how to use day-to-day experiences to solve AI problems!

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  • At Apple Care's Business Intelligence team, I designed a transformer-based natural language understanding model to automatically summarize, connect and resolve Apple Care’s customer support issues enhancing issue resolution efficiency. In addition, I designed machine learning algorithms to measure impact and efficiency metrics within and across organizations and product lines and identify business insights useful for decision-makers. 

  • At Dataminr, I designed and implemented a prototype for deep multi-modal unsupervised machine translation.

  • At Disney Research, I designed and developed a natural language understanding model for semantic parsing of textual scripts and automatic code generation, as well as a hierarchical deep neural model with self-attention for online dialogue topic modeling.

  • I’m also a reviewer and the program committee member of several AI journals and conferences and journals including ICLR, AAAI, AISTAT, ACL, EACL, TCSVT, WWW, 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.

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contact: sepehr.janghorbani@gmail.com

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[Download CV]

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News!

  • I will be graduating soon and am looking for full-time positions!

  • Our paper "Multi-Modal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision–Language Models" will be presented at EACL 2023.

  • I successfully finished my internship as a Data Science Intern at Apple [Summer 2021].

  • I successfully finished my internship as an AI Research Intern at DataMinr [Spring 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 NAACL 2019.

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

  • I successfully finished my internship as an AI Research Intern at Disney Research [summer 2018].

  • Awarded 5000$ Fellowship for Excellence.

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