PeopleofSuperintelligence

Researcher

Ganesh Ghalme

Also known as Ganesh Sambhaji Ghalme

Ganesh Ghalme is an artificial intelligence researcher whose work links fairness and strategic behavior in machine learning. His papers range from sleeping bandits and fair reward allocation to strategic classification and governance for deployed AI agents. He completed a PhD at IISc in 2020, held a postdoctoral fellowship with Technion’s Game Theory Group through March 2022, and joined IIT Hyderabad’s Department of Artificial Intelligence in 2022. As of October 2026, he is an assistant professor in IIT Hyderabad’s Department of Artificial Intelligence, with recent work on fair multi-agent bandits and AI agent governance.

Timeline

  1. 2017

    Thompson sampling for sleeping bandits

    In 2017, he coauthors “Analysis of Thompson Sampling for Stochastic Sleeping Bandits” with Aritra Chatterjee, Shweta Jain, Rohit Vaish, and Y. Narahari. The paper gives Thompson Sampling an O(log T) regret bound when the available arms change over time.

  2. 2019–2021

    Fairness in stochastic bandits

    In 2020, he and three coauthors present “Achieving Fairness in the Stochastic Multi-armed Bandit Problem” as an oral paper at AAAI; it requires each arm to receive a pre-specified share of pulls while the algorithm learns rewards. The Journal of Machine Learning Research accepts the work in 2021.

  3. June 2020–March 2022

    PhD and postdoc at Technion

    He completes a PhD at IISc in June 2020 and becomes a postdoctoral fellow with the Technion Game Theory Group in July 2020. He remains there through March 2022.

  4. 2021

    Strategic classification under opacity

    In 2021, he and four coauthors study how people adapt to a classifier that they cannot see. Their paper defines the price of opacity and identifies conditions under which transparency is recommended.

  5. April 2022

    Assistant professor at IIT Hyderabad

    In April 2022, he joins IIT Hyderabad’s Department of Artificial Intelligence as an assistant professor.

  6. 2023–2026

    A strategic agents research project

    From 2023 to 2026, he serves as principal investigator of the project Learning in the Presence of Strategic Agents. The project studies algorithmic decision-making with strategic agents through game theory and machine learning.

  7. 2025

    Fair multi-agent bandits

    In 2025, he and three coauthors propose RewardFairUCB for multi-agent bandits, with guarantees for fairness and social welfare. IIT Hyderabad lists him as an interested SURE 2025 mentor for fairness in machine learning.

  8. As of October 2026

    Assistant professor at IIT Hyderabad

    In Spring 2026, he coordinates AI for Humanity at IIT Hyderabad. In August 2026, he coauthors Resourced Authority, a mechanism-design model for participatory governance of deployed AI agents that uses compute budgets to enforce authorization. He is an assistant professor in IIT Hyderabad’s Department of Artificial Intelligence.

Career

  1. Since 2022Indian Institute of Technology HyderabadAssistant Professor
  2. 2020–2022TechnionPostdoctoral Fellow

Education

  1. 2020Indian 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 keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes Technion. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.
  4. 41% of people who worked abroad later worked in their country of birth among people with a recorded birth country and dated work historyIncludes Technion. Of 991 people with a recorded birth country who worked outside it, 410 (41%) later held a work position at home, led by the United States at 69%.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Ganesh Ghalme yet. Send us a free-licensed photo.

  1. Analysis of Thompson Sampling for Stochastic Sleeping Bandits proceedings.mlr.press. Checked 21 October 2026.
  2. [1907.10516] Achieving Fairness in the Stochastic Multi-armed Bandit Problem arxiv.org. Checked 21 October 2026.
  3. Ganesh Ghalme - Research sites.google.com. Checked 21 October 2026.
  4. Prof. Y Narahari – IISc Bangalore gtl.csa.iisc.ac.in. Checked 21 October 2026.
  5. Learning in the Presence of Strategy | CNI cni.iisc.ac.in. Checked 21 October 2026.
  6. [2102.11592] Strategic Classification in the Dark arxiv.org. Checked 21 October 2026.
  7. Learning in the Presence of Strategic Agents | India Science, Technology & Innovation Portal indiascienceandtechnology.gov.in. Checked 21 October 2026.
  8. [2502.15240] Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness arxiv.org. Checked 21 October 2026.
  9. Summer Undergraduate Research Exposure (SURE) 2025 | IIT Hyderabad iith.ac.in. Checked 21 October 2026.
  10. Time Table – Department of Artificial Intelligence ai.iith.ac.in. Checked 21 October 2026.
  11. [2608.06353] Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents arxiv.org. Checked 21 October 2026.
  12. Ganesh Ghalme | IIT Hyderabad iith.ac.in. Checked 21 October 2026.