My current research is focussed on combining geospatial, visual, textual and mobility data to recommend optimal venues for retail establishments. The broader goal is to develop techniques that can automatically recommend store locations consistent for a particular retail type as well as a suitable visual ‘look-and-feel’ using algorithmically-learnt successful location and design choices.
My research interests lie in problems centred around multimodal learning with real-world data. Previously, I have also worked on task-driven scene-understanding problems as a part of my Master thesis at the Institute for Logic, Language and Computation.
I received my Bachelor’s degree in Electronics and Communication Engineering from VIT University, Vellore, India in 2016 and my Master’s degree in Artificial Intelligence from the University of Amsterdam, The Netherlands in 2018.
|Dec 10, 2019||Our paper on predicting review volumes for restaurants by modelling attributes into a heterogeneous graph has been accepted for publication at the European Conference on Information Retrieval (ECIR) 2020.|
|Jul 7, 2019||Attended ICVSS 2019 summer school in Sicily.|
|Sep 1, 2018||Started as a PhD student at the University of Amsterdam where I will be working on integrating machine learning techniques into the retail location selection pipeline!|
|Aug 17, 2018||Graduated from the University of Amsterdam with a masters in Artificial Intelligence.|