Hi There!

I am Parth Kothari, a person travelling through the various experience of life, hand-in-hand with my cutie wife. Currently, I am working at Google, Zurich in the Graph Neural Networks team. Before joining Google, I did a PhD at the Visual Intelligence for Transport (VITA) lab at EPFL, under the supervision of Prof. Alexandre Alahi. During my PhD, I researched broadly in the field of understanding human motion behavior, with focus on social forecasting in autonomous vehicles. I got my undergraduate degree in Electrical Engineering from (IIT Bombay).

Updates

Oct 2022:	Started working at Google, Zurich!
Oct 2022:	Successfully defended my PhD!
Oct 2022:	new paper on motion style transfer for trajectory forecasting accepted to CoRL 2022.
Sep 2021:	new paper introducing an open-source gym-compatible environment for autonomous driving accepted to ML4AD Workshop at NeurIPS 2021.
Sep 2021:	new paper on test-time adaptation of machine learning models accepted to NeurIPS 2021.
Jun 2021:	started research internship at Level 5 Woven Planet (previously Lyft).
Apr 2021:	gave guest lectures on modelling social interactions and modelling multimodal distributions for human trajectory forecasting for the Deep Learning for Autonomous Vehicles course.
Mar 2021:	new paper on interpretable anchor-based method for human trajectory forecasting in crowds accepted to CVPR 2021.
Feb 2021:	new paper on modelling human social interactions in crowds and describing our TrajNet++ benchmark to appear in IEEE Transactions on Intelligent Transportation Systems. [Code]
Nov 2019:	new paper on collaborative sampling from generative adversarial networks is accepted to AAAI 2020. [Code]
Nov 2019:	cleared the EPFL PhD Candidancy Exam.
Aug 2018:	graduated from IIT Bombay, with Institute Rank 7.
Jun 2018:	secured 3rd position in the iFood Challenge at CVPR 2018. [Code]
Apr 2018:	I will be joining VITA Lab as a PhD candidate, under supervision of Prof. Alexandre Alahi, in Fall 2018