Vishwash Batra

Vishwash Batra

Multimodal AI, London (UK)

Keele

Biography

I received my PhD degree from Computer Science Department at University of Warwick in 2020. My research topic centered around developing neural models for the task of stepwise text illustration. Prior to this, I received my Bachelors degree (2015) in Computer Science and Engineering from Indian Institute of Technology Ropar, India.

I have been part of the NLP research group. My primary research interests include semantics, joint representation of images and texts. I am continuously working towards developing Machine Learning and Deep Learning based solutions for many tasks lying at the intersection of Natural Language Processing and Computer Vision. Besides my primary research-area of natural language processing, I also work on data mining and knowledge graphs. I actively do industrial collaborations and worked previously in the ecommerce sector as a Software Development Engineer.

Interests
  • Artificial Intelligence
  • Natural Language Processing
  • Machine Learning
Education

  • PhD in Artificial Intelligence (NLP), 2020

    University of Warwick

  • BTech in Computer Science and Engineering, 2015

    Indian Institute of Technology Ropar

Experience

 
 
 
 
 
University of Warwick
Research Assistant
University of Warwick
May 2019 – Dec 2019 Coventry, United Kingdom

Responsibilities include:

  • investigated the inclusion of latent random variables in recurrent neural network architectures for the tasks involving highly structured sequential data, mainly textual
 
 
 
 
 
Folding Space
Research Assistant
Folding Space
Feb 2015 – May 2015 London, United Kingdom

Responsibilities include:

  • worked with medical reports data on long document representation. Open-source software like Octave to automatically detect handwritten text was used.
 
 
 
 
 
Aston University
Research Intern
Aston University
Apr 2014 – Jul 2014 Birmingham, United Kingdom

Responsibilities include:

  • worked on the development of a visualisation tool for a probabilistic modeling framework based on Latent Dirichlet Allocation (LDA), called joint sentiment-topic model (JST), which detects sentiment and topic simultaneously from micro-blogging services.
 
 
 
 
 
Indian Institute of Science Bangalore (IISc)
Research Intern
Indian Institute of Science Bangalore (IISc)
Dec 2013 – Dec 2013 Bangalore, India

Responsibilities include:

  • worked on developing a simulation framework for a multidisciplinary solution based on the consideration of the so-called small world dynamics which have been proposed for economy and social studies and have recently revealed to be a successful approach to be exploited for characterising information propagation in social networks

Contact