Lokesh Nagalapatti

Lokesh Nagalapatti

Research Scholar with CSE Dept, IITB.

IIT Bombay

Hi! I am a Third Year PhD studnet with IIT Bombay, India. I joined PhD in the year 2021 and am fortunate to be advised by Prof. Sunita Sarawagi and Prof. Abir De. I work in the areas of Causal Inference and Algorithmic Recourse. My PhD is generously funded by the Prime Minister Research Fellowship.

Prior to IITB, I spent about 1.5 years with IBM Research working on cutting edge topics like Federated learning, assessing data quality metrics, aggregating user preferences etc. Prior to that, I completed masters from IISc Bangalore. I worked with Prof. M Narasimha Murty on finding outlier robust representations of nodes in Social Networks.

  • ML
  • Causal Inference
  • Algorithmic Recourse
  • PhD in Computer Science and Engineering, 2021 - Present

    IIT Bombay

  • M.Tech. in Computer Science, 2019

    IISc Bangalore

  • B.E. in Computer Science, 2015

    CEG, Anna University


IBM Research Labs
Blue Scholar
Aug 2019 – Dec 2020 Bangalore, India
Worked on various SOTA technologies like Data Readiness for AI, Federated Learning etc.
Adobe Research Labs
Member of Technical Staff - 1
Sep 2016 – Jul 2017 Bangalore, India
Worked on Adobe Muse, an application that generates responsive websites through a plug&play interface.
Samsung Research and Development Institute
Software Development Engineer
Aug 2015 – Aug 2016 Bangalore, India
Worked on Andorid UI development for Tuscany, a multi-function printer.


  • πŸ”Š Presented a Tutorial on Gaussian Process in CS 337.
  • πŸ”Š Delivered an invited talk on “Learning Recourse on instance environment” at Adobe Research
  • πŸ“ƒ Learning Recourse on instance environment to enhance prediction accuracy accepted at NeurIPS'22
  • πŸ“ Serving in the PC of AAAI 2023 Research track
  • πŸ“ Serving in the PC of AIMLSystems 2022 Research track
  • πŸ“£Teaching Linear Algebra for GATE in NPTEL. Videos available here!
  • πŸ“ƒ Federated Learning with Relevant Data paper accepted at AAAI'22
  • πŸ“ KDD'21 tutorial on data quality
  • πŸ“ Serving in the PC of CODS-COMAD 2021 Research track
  • πŸ“ Serving in the PC of AIMLSystems 2021 Industry track
  • 🏫 Started PhD with IIT Bombay
  • πŸ”Š Delivered a guest lecture on “data quality for Machine Learning” at JDBI, Kolkatta
  • πŸ”Š Delivered a guest lecture on “outsmarting outliers in social networks” at CEG on social networks
  • πŸ“ƒ One short paper accepted at ICDE 2021
  • πŸ“ƒ One research track paper accepted at AAAI 2021
  • 🏫 Graduated with Masters from IISc and joining IBM Research
  • πŸ“ƒ One Reserach track paper accepted at WSDM 2020
  • πŸ“ƒ One Reserach track paper accepted at AAAI 2019

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