I am a PhD candidate in the Intelligent Sensory Information Systems group at the University of Amsterdam, advised by Prof. Marcel Worring. My current research focus is representation learning on graph-structured data, in particular multimodal learning using hypergraphs.
I have worked on developing graph based deep learning models that are scalable to datasets with many modalities, with applications in recommedner systems, link predictions and neuroimaging. I am also part of the ASGARD project, whose aim is to develop AI powered solutions for forensic investigations that can directly contribute towards the Law Enforcement Agencies (LEAs) technological autonomy across EU.
I graduated from Indian Institute of Technology, Kanpur in 2015 with a B.Tech-M.Tech dual degree in Electrical Engineering. My formal background is in speech signal processing. I worked on developing Voice Activity Detection (VAD) algorithms during my master’s thesis and during my internship at NTU Singapore.
PhD in Artifical Intelligence, 2017-Ongoing
University of Amsterdam
B.Tech-M.Tech, Electrical Engineering, 2010-2015
Indian Institute of Technology, Kanpur
[April 2021] Our paper titled Improving Solar Cell Metallization Designs using Convolutional Neural Networks has been accepted at Deep Learning for Simulation (SimDL) Workshop at International Conference on Learning Representations. ICLR .
[February 2021] Our paper titled Rotation Equivariant Siamese Networks for Tracking has been accepted at IEEE conference on Computer Vision and Pattern Recognition CVPR .
[November 2020] Joined Serket Tech, an AI livestock monitoring startup as Deep Learning Research Intern.