Punit Rathore

Welcome to the webpage of Dr. Punit Rathore!

I am an Assistant Professor at Indian Institute of Science (IISc.), Bengaluru in Robert Bosch Centre for Cyberphysical Systems (RBCCPS) jointly with Centre for Infrastructure, Sustainable Transportation, and Urban Planning (CiSTUP).

Previously I worked as a Postdoctoral Researcher at Senseable City Lab at Massachusetts Institute of Technology, Cambridge, USA for two years and at Grab-NUS AI Lab, Institute of Data Science, National University of Singapore (NUS) for nine months where I worked on urban mobility analytics, driver behavior modeling and spatio-temporal data mining. I received my Ph.D. degree from the Department of Electrical and Electronics Engineering, University of Melbourne, Australia in 2019. From July 2011 to November 2014, I was a Researcher in Automation Division, TATA Steel Limited, India where I developed several image processing and machine learning -based real-time systems for manufacturing industries.

My current research interests are: big data cluster analysis, unsupervised learning, urban sensing and analytics, intelligent transportation, spatio-temporal data mining, and Internet of Things.

I am also passionate about developing algorithms to extract useful information from variety of data (time-series, GPS logs, spatio-temporal, images, texts) that may be anomalous, high-dimensional, noisy, unstructured, streaming and heterogeneous. I am particularly interested in ML and AI applications to solve complex real-world problems in areas such as transportation, agriculture, healthcare, infrastructure, robotics, and vision.

Please send me an email if you are interested in my work or collaboration.

[Nov 2021] Our work on “An Unsupervised Approach for Driving Behaviour Analysis of Professional Truck Drivers” has been accepted in EAI Internation Conference on Intelligent Transportation System (INTSYS), 2021.

[Nov 2021] Our work on “Understanding Drivers’ Stress and Interactions with Vehicle Systems Through Naturalistic Data Analysis” has been accepted in IEEE Transactions on Intelligent Transportation System.

[July 2021] Delivered a virtual lecture and workshop on “Linear Regression and its applications in Manufacturing Industries” at Steel Authority India Limited (SAIL), Bokaro, India, 2021.

[June 2021] Our work on “Identifying Groups of Fake Reviewers Using a Semi-supervised Approach” has been accepted in IEEE Transactions on Computational Social Systems (TCSS).

[Jan 2021] Our work on “Shapelet Based Visual Assessment Of Cluster Tendency in Analyzing Complex Upper Limb Motion” has been accepted in the International Conference on Acoustics, Speech and Signal Processing (ICASSP)

[Sep’20] My PhD thesis has been awarded with the second Best Thesis Prize (2019) from Melbourne School of Engineering, the University of Melbourne.

[May ’20] My PhD thesis got nominated for “Chancellor’s Prize for Excellence in the PhD Thesis 2020”, at the University of Melbourne.