Post Doc Research Fellow

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Pillar / Cluster: Engineering Systems and Design

Biography

Divya worked on various problems in machine learning and game theory during her PhD at IISc. During her MTech at IIT Madras she worked on problems in computational biology.  On the professional side, she worked at Oracle, Bangalore for 2 years as a software developer. She has also interned at IBM India Research Lab and Xerox Research Centre India.

Outside of academic research, she is a trained Carnatic Classical singer and is a graded artist of All India Radio.

Education

  • PhD, Indian Institute of Science (IISc), Bangalore (2017)
  • MTech, IIT Madras (2010-2012)
  • BTech, National Institute of Technology (NIT), Calicut (2004-2008)

Research Interest

Machine Learning, Game Theory, Robust Optimisation

Selected Publication

  • A Dominant Strategy Truthful, Deterministic Multi-armed Bandit Mechanism with Logarithmic Regret“, AAMAS, 2017 – Joint work with Satyanath Bhat, Prabuchandran K. J., Shirish Shevade and Y. Narahari
  • Topic Model Based Multi-Label Classification“,IEEE ICTAI, 2016 – Joint work with Satyanath Bhat, Shirish Shevade and Y. Narahari arXiv
  • A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds“, IJCNN 2016  – Joint work with Satyanath Bhat, Dinesh Garg, Shirish Shevade and Y. Narahari arXiv
  • A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing“, AAMAS, 2016 – Joint work with Satyanath Bhat, Shweta Jain and Y. Narahari
  • Mechanism Design for Stochastic Multi-armed Bandit Problems“, Indian Journal of Pure and Applied Mathematics (IJPAM) – Special issue, 2016 – Joint work with Shweta Jain, Satyanath Bhat, Ganesh Ghalme, and Y. Narahari
  • Multi-Label Classification from Multiple Noisy Sources Using Topic Models“, Information, 2017 –  Joint work with Satyanath Bhat, Prabuchandran K. J., Shirish Shevade and Y. Narahari
  • “Dominant Strategy Truthful, Deterministic Multi-armed Bandit Mechanisms with Logarithmic Regret for Sponsored Search Auctions” – Joint work with Satyanath Bhat, Prabuchandran K. J., Shirish Shevade and Y. Narahari (submitted)