Ujjwal Sharma  —   Publications  ·  Colophon
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I am a Ph.D. candidate at the University of Amsterdam where my research focusses on problems at the intersection of artificial intelligence and marketing. Specifically, I am trying to develop algorithmic techniques for extracting and understanding subjective consumer perceptions about retail establishments. The broader goal is to develop techniques that can automatically recommend store locations and a suitable visual ‘look-and-feel’ using discovered patterns in successful location and design choices. My doctoral advisors are Prof. Willemijn van Dolen and Dr. Stevan Rudinac with additional inputs and supervision from Prof. Marcel Worring and Dr. Joris Demmers.

My research interests lie in real-world problems involving multimodal data. I am a part of the multimedia analytics group MultiX within the Informatics Institute, University of Amsterdam. Previously, I have worked on task-driven question-answering problems within the I-Machine-Think group 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.

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