PeopleofSuperintelligence

Researcher

Konda Reddy Mopuri

Konda Reddy Mopuri is a computer vision researcher whose work covers universal adversarial perturbations, data-free knowledge distillation and dataset condensation. He did his PhD from 2012 to 2018 at the Vision and AI Lab of the Indian Institute of Science in Bangalore, and his thesis won the IUPRAI Doctoral Dissertation Award in 2019. As a postdoctoral researcher at the University of Edinburgh from 2018 to 2020, he coauthored Dataset Condensation with Gradient Matching with Bo Zhao and Hakan Bilen, published at ICLR 2021. IIT Hyderabad gave him its Faculty Research Excellence Award (Below 40 Years Age Group) in April 2026. He is an Assistant Professor in the Department of Artificial Intelligence at IIT Hyderabad, where he leads the Data-Driven Intelligence & Learning Laboratory.

Timeline

  1. 2012–2018

    A PhD at IISc

    He does his PhD from 2012 to 2018 at the Vision and AI Lab of the Indian Institute of Science in Bangalore.

  2. 2017

    Fast Feature Fool at BMVC

    With Utsav Garg and R. Venkatesh Babu, he presents Fast Feature Fool at BMVC 2017. The method generates universal adversarial perturbations for object-recognition CNNs without access to their training data.

  3. 2018–2020

    Postdoc at Edinburgh

    He works as a postdoc from 2018 to 2020 in the Visual Computing Group at the University of Edinburgh.

  4. 2019

    Zero-shot knowledge distillation

    In 2019, he coauthors Zero-Shot Knowledge Distillation in Deep Networks with Gaurav Kumar Nayak, Vaisakh Shaj, R. Venkatesh Babu and Anirban Chakraborty, accepted at ICML 2019. The method trains a small student model from a teacher by synthesizing data impressions in place of the original training data.

  5. 2019–2020

    Two dissertation awards

    His PhD thesis wins the IUPRAI Doctoral Dissertation Award in 2019 and the SPCOM Best Dissertation Award in 2020.

  6. 2021

    Dataset condensation at ICLR

    He coauthors Dataset Condensation with Gradient Matching with Bo Zhao and Hakan Bilen, published at ICLR 2021. The method condenses a large dataset into a small set of synthetic samples for training deep neural networks from scratch.

  7. April 2026

    A faculty research award

    In April 2026, he receives the Faculty Research Excellence Award (Below 40 Years Age Group) for 2026 from IIT Hyderabad.

  8. As of October 2026

    Lab lead at IIT Hyderabad

    He is an Assistant Professor in the Department of Artificial Intelligence at IIT Hyderabad, where he leads the Data-Driven Intelligence & Learning Laboratory (DiL). He serves as Area Chair at NeurIPS 2026, and his research interests are computer vision and artificial intelligence.

Career

  1. NowIndian Institute of Technology HyderabadAssistant Professor
  2. 2018–2020University of EdinburghPostdoctoral researcher

Education

  1. 2018Indian Institute of SciencePhD

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Indian Institute of Technology Hyderabad. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Indian Institute of Technology Hyderabad. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. Universities had a net outflow of 2,068 moves in AI careersIncludes University of Edinburgh. Our estimates of career flows and median h-index across universities and companies in AI, including the role of joint appointments and earlier academic jobs.
  4. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes University of Edinburgh. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Konda Reddy Mopuri yet. Send us a free-licensed photo.

  1. Vision and AI Lab val.cds.iisc.ac.in. Checked 21 October 2026.
  2. [1707.05572] Fast Feature Fool: A data independent approach to universal adversarial perturbations arxiv.org. Checked 21 October 2026.
  3. People - University of Edinburgh groups.inf.ed.ac.uk. Checked 21 October 2026.
  4. [1905.08114] Zero-Shot Knowledge Distillation in Deep Networks arxiv.org. Checked 21 October 2026.
  5. [2006.05929] Dataset Condensation with Gradient Matching arxiv.org. Checked 21 October 2026.
  6. Publications of DiL Lab, IIT Hyderabad krmopuri.github.io. Checked 21 October 2026.
  7. Konda Reddy Mopuri krmopuri.github.io. Checked 21 October 2026.
  8. Faculty – Department of Artificial Intelligence ai.iith.ac.in. Checked 21 October 2026.