Punit Rathore

Employment

• Indian Institute of Science Bangalore Assistant Professor
  2021 - Present
• Massachusetts Institute of Technology Postdoctoral Researcher
  2019 - Present
• National University of Singapore Postdoctoral Research Fellow
  2019 - 2019
• Tata Steel Ltd Jamshedpur Researcher
  2011 - 2019

Education

• The University of Melbourne Doctor of Philosophy (PhD)
  2014 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
  Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  +Save
• Understanding Drivers’ Stress and Interactions With Vehicle Systems Through Naturalistic Data Analysis
  IEEE Transactions on Intelligent Transportation Systems 2022 DOI: 10.1109/tits.2021.3130438
  +Save
• A Data-Driven Framework for Driving Style Classification
  International Conference on Advanced Data Mining and Applications 2022
  +Save
• An Unsupervised Approach for Driving Behavior Analysis of Professional Truck Drivers
  Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022 DOI: 10.1007/978-3-030-97603-3_4
  +Save
• Fast Cluster Tendency Assessment for Big, High-Dimensional Data
  Studies in Fuzziness and Soft Computing 2021 DOI: 10.1007/978-3-030-54341-9_12
  +Save
• The Role of Visual Assessment of Clusters for Big Data Analysis: From Real-World Internet of Things
  IEEE Systems, Man, and Cybernetics Magazine 2020 DOI: 10.1109/msmc.2019.2961160
  +Save
• Missing Data Imputation with Bayesian Maximum Entropy for Internet of Things Applications
  IEEE Internet of Things Journal 2020 DOI: 10.1109/jiot.2020.2987979
  +Save
• Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
  IEEE Transactions on Cybernetics 2020 DOI: 10.1109/tcyb.2020.2973137
  +Save
• Approximating Dunn’s Cluster Validity Indices for Partitions of Big Data
  IEEE Transactions on Cybernetics 2019 DOI: 10.1109/tcyb.2018.2806886
  +Save
• A Scalable Framework for Trajectory Prediction
  IEEE Transactions on Intelligent Transportation Systems 2019 DOI: 10.1109/tits.2019.2899179
  +Save