I am a final year PhD student at Ecole Polytechnique Federale de Lausanne (EPFL) and the Social Computing Group at Idiap Research Institute, working with Daniel Gatica-Perez. My research interests lie broadly at the intersection of computer science and social science, in particular application of large-scale data mining to various social and urban contexts. Before joining Idiap, I completed my Masters at ETH Zurich and Bachelors from Manipal Institute of Technology.
My doctoral research takes a multidisciplinary approach to the computational characterization of public places from the perspective of urban perception and study how young people can document and use these urban spaces, by integrating concepts from urban studies, human geography, social psychology, and computing, including mobile crowdsensing and online crowdsourcing, machine learning, and multimedia analysis. Before I began my PhD studies at EPFL, I was conducting research at the intersection of social and urban computing, where I was involved in building systems and tools, in addition to data analysis to understand cities both at the micro and macro level.
News and Updates
July 2016: Our paper describing the mobile crowdsensing study to examine the nightlife patterns of youth populations in Switzerland, titled The Night is Young: Urban Crowdsourcing of Nightlife Patterns has been accepted to UbiComp 2016. See you in Heidelberg!
July 2016: Our paper describing the automatic inference of human impressions for indoor place ambiance using deep learning, titled “InnerView: Learning Place Ambiance from Social Media Images” has been accepted to ACM MM 2016. Stay tuned for the PDF. See you in Amsterdam!