Prakhar Ganesh

Prakhar Ganesh

PhD Student
McGill & Mila

Hi! I’m Prakhar. I’m a first year PhD student under Prof Golnoosh Farnadi at McGill and Mila. I recently graduated from NUS, with a Masters of Computing (AI specialization) under Prof. Reza Shokri. Prior to that, I did my BTech in Computer Science and Engineering from IIT Delhi and worked at Advanced Digital Sciences Center, Singapore as a Research Engineer for two years. My research interests involve studying the challenges that arise in machine learning when moving from the sandbox to the real world, including fairness, privacy, adversarial robustness, compression, etc., by uncovering the learning dynamics of neural models. My long term goal is a career in research and academia in the field of AI.

News!

  • [Jan 2024] I’ll be attending WACV 2024 virtually! I’ll be presenting our work “An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification”. The paper is now available online at CVF Open Access. [link] [pdf]
  • [Nov 2023] Our paper “An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification” will be published at WACV 2024. Checkout the paper on arxiv.
  • [Sep 2023] I’ve started my PhD at Mila in Montreal. Open to new collaborations, feel free to send me an email!
  • [June 2023] Our paper “On the Impact of Machine Learning Randomness of Group Fairness” won the best paper award at FAccT 2023!
  • [June 2023] Our paper “On the Impact of Machine Learning Randomness of Group Fairness” is now available online at ACM Digital Library. [link] [pdf]
  • [Apr 2023] Our paper “On the Impact of Machine Learning Randomness of Group Fairness” will be published at FAccT 2023. Camera-ready version coming soon.
  • [Mar 2023] Accepted in a PhD program at Mila starting Fall 2023. Montreal, here I come!
  • [Dec 2022] Submitted my Masters’ Thesis at NUS. I’ll be graduating soon! Actively looking to start a PhD from Fall 2023.
  • [May 2022] I’ll be attending ACL 2022 in Dublin, Ireland! I’ll be presenting our work “Compressing Large-Scale Transformer-Based Models : A Case Study on BERT”.