Shubham Agarwal bio photo

Shubham Agarwal

Currently in Edinburgh, UK

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About

    Science is not only a discipline of reason but also of passion and love - Stephen Hawking

    Headline

    Alana @ Alexa Prize Socialbot Challenge' 18 | Pikabot @ Visual Dialog Challenge' 18 | NLE @ E2E NLG Challenge' 17

    Past: @AdobeResearch | @gsoc | @XRCE | @IITDelhi

    Summary

    I am a PhD student at the Interaction Lab , Heriot Watt University, Edinburgh, UK supervised by Prof. Verena Rieser, Prof. Oliver Lemon, Dr. Yannis Konstas and Dr. Ondrej Dusek . I am particularly interested in the multimodal dialogue generation at the interaction of Vision and Language.

    I recently spent nice summers in beautiful California at Adobe Research, San Jose, CA

    I am part of Team Alana, one of the three finalists for the Alexa Prize 2018 held by Amazon to drive the research in Conversational AI. See you in Las Vegas for the finals! Wohoo!

    Team Pikabot achieves third position in Visual Dialog Challenge 2018.

    Prior to this, I did one year masters pursuing Data Science specialization (2016-17) in MSIAM (Master of Science in Industrial and Applied Mathematics), program jointly offered by Ensimag, Grenoble INP and IM2AG, Universite Grenoble Alpes, Grenoble, France. My stay was supported by the IDEX scholarship.

    Previously I did an internship for my Master thesis at Xerox Research Center Europe (XRCE) (now Naver Labs Europe), Grenoble, France under the supervision of Dr. Marc Dymetman and Dr. Eric Gaussier .

    I graduated with 5 year Integrated M.Tech in Mathematics and Computing from Indian Institute of Technology (IIT), Delhi (2010-15). My master thesis was titled "Classification using Deep Learning". Thereafter, I worked as a Data Scientist for 2015-16 in TrulyMaldy Matchmakers Pvt. Ltd. , in the online dating domain.

    Research Interest

    Deep Learning, Multimodal Dialogue Generation, Conversational AI, Visual Dialogue, Natural Language Generation, Computer Vision, Recommendation Systems

    I am particularly interested in Deep Learning and its interdisciplinary applications. Check out github for my latest activity.