Researcher

Jayavardhana Gubbi

Also known as Jay Gubbi, J Gubbi

Jayavardhana Gubbi is a researcher in computer vision and sensing whose 2013 overview of the Internet of Things has more than 19,000 citations on Google Scholar. He earned a Bachelor of Engineering from Bangalore University in 2000 and a PhD from the University of Melbourne in 2007 with Marimuthu Palaniswami as advisor. The 2013 paper, written with Rajkumar Buyya, Slaven Marusic and Palaniswami, was followed by a smart-city information framework in 2014 and by ChangeNet, a deep learning architecture for detecting visual changes between image pairs, in 2018. In 2020, he was a Senior Scientist at TCS Research and Innovation in Bengaluru, leading its Machine Vision group, and his 2025 and 2026 papers cover fashion item retrieval, diffusion-based attribute editing and EEG and ECG signal modeling. He is a Principal Scientist at TCS Research.

Now at
Tata Sons and Indian Institute of Science–Tata Consultancy Services Innovation Lab
Badges

Timeline

  1. 2000

    Medical electronics at Bangalore University

    He earns a Bachelor of Engineering from Bangalore University in 2000, majoring in Medical Electronics and Engineering.

  2. 2007

    PhD on protein structure prediction

    He completes a PhD in engineering in the Department of Electrical and Electronic Engineering at the University of Melbourne in 2007. His thesis, Algorithms for Protein Structure Prediction, is advised by Marimuthu Palaniswami with Michael Parker of St. Vincent's Institute of Medical Research as co-advisor.

  3. 2013

    The IoT vision paper

    He publishes "Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions" in Future Generation Computer Systems in 2013, with Rajkumar Buyya, Slaven Marusic and Marimuthu Palaniswami. Google Scholar counts more than 19,000 citations for the paper.

  4. 2014

    A smart city framework

    In 2014, he coauthors "An information framework for creating a smart city through internet of things" with J. Jin, Slaven Marusic and Marimuthu Palaniswami in the IEEE Internet of Things Journal. Google Scholar counts more than 1,900 citations for it.

  5. 2018

    ChangeNet for drone imagery

    In 2018, he coauthors ChangeNet with Ashley Varghese, Akshaya Ramaswamy and P. Balamuralidhar at the ECCV workshops. The parallel convolutional neural network finds and labels changes between pairs of images, aimed at drone monitoring of public-space encroachment, and reaches 98.3% pixel accuracy.

  6. 2020

    Leading the Machine Vision group

    In 2020, he is a Senior Scientist at TCS Research and Innovation in Bengaluru, where he leads the Machine Vision group, and he is an organizer of the industry track at SPCOM 2020. His earlier posts include three years as a Research Assistant at the Indian Institute of Science and, at the University of Melbourne, Postdoctoral Research Fellow, Australian Postdoctoral Fellow – Industry and Senior Research Fellow.

  7. 2025–2026

    Fashion, diffusion and EEG papers

    In 2025, he coauthors "Recommendation by Generation", a paper on complementary fashion item retrieval, and a paper on reconstructing EEG and ECG from a single-channel mixture with branched autoencoders. In 2026, he coauthors FAE-Net, which edits fashion attributes through disentangled latent conditioning in diffusion models, and a paper on learning EEG representations for neural abnormality detection.

  8. As of October 2026

    Principal Scientist at TCS Research

    He is a Principal Scientist at TCS Research, listed at the IISc–TCS Innovation Lab, and a Senior Member of the IEEE. His interests include computer vision, pattern recognition, the Internet of Things and biomedical engineering.

Career

  1. Since 2020Tata SonsSenior Scientist
  2. NowIndian Institute of Science–Tata Consultancy Services Innovation Lab
  3. Indian Institute of ScienceResearch Assistant
  4. University of MelbournePostdoctoral Research Fellow

Education

  1. 2007University of MelbournePhD
  2. 2000Bangalore UniversityBachelor of Engineering

Sources and credits

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  1. About Me – Jayavardhana Gubbi jayavardhana.wordpress.com. Checked 21 October 2026.
  2. [1207.0203] Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions arxiv.org. Checked 21 October 2026.
  3. Publications – Jayavardhana Gubbi jayavardhana.wordpress.com. Checked 21 October 2026.
  4. Jayavardhana Gubbi - Google Scholar scholar.google.com. Checked 21 October 2026.
  5. ChangeNet: A Deep Learning Architecture for Visual Change Detection | ML Anthology mlanthology.org. Checked 21 October 2026.
  6. SPCOM 2020 ece.iisc.ac.in. Checked 21 October 2026.
  7. Jayavardhana Gubbi - CsAuthors.net csauthors.net. Checked 21 October 2026.
  8. Computer Science and Business Systems Committees - Malnad College of Engineering mcehassan.ac.in. Checked 21 October 2026.