Rakshit (Rocket) Naidu

I am a first second year PhD in Machine Learning (ML) student at ISyE, Georgia Tech. I was a recipient of the Thomas H. Johnson Fellowship award for the academic year of 2023-24.
I'm beyond fortunate to be co-advised by the awesome Professor Juba Ziani and Professor Kai Wang.
While my research interests hover around Responsible ML and Trustworthy AI, specifically tackling privacy and fairness issues in machine learning, I'm currently exploring how to register societal impact of AI applications through optimization.

Previously, I graduated with a Masters in Information Technology (MSIT-PE) degree from Carnegie Mellon University (CMU). During my time at CMU, I worked as a Research Assistant under Professor Hoda Heidari during Spring-Summer 2023 and I was also a Visiting Research Scholar at Syracuse University under Professor Ferdinando Fioretto during Summer 2022.

If you have any queries related to my work or a potential collaboration, please feel free to reach out to me!

In my free time, I play badminton 🏸 and soccer . I used to represent CMU for Badminton (check out their Instagram page for more info: @cmubadminton!), now I serve as the "Social Media/PR Coordinator" at Georgia Tech Badminton Club (GTBC) Executive Body for the academic year 2024-25.
I also hold an Open Water scuba diving certification and I'm an amateur wakeboarder.

"Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution." ~Albert Einstein

Email  /  CV  /  Google Scholar  /  Twitter  /  Github  /  Old Github

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I'm extremely fortunate to have collaborated with a very diverse set of professors namely (in no particular order)-- Ferdinando Fioretto (UVA/SyracuseU), Hoda Heidari (CMU), Franziska Boenisch (CISPA), Rayid Ghani (CMU), Kit Rodolfa (Stanford), Juba Ziani (Georgia Tech) and Emily Black (Barnard-Columbia/Stanford/CMU).

Additionally, I thank the following researchers who inspire me to continue doing what I do and I'm grateful to have collaborated, or rather still be collaborating, with them (in no particular order)-- Fatemehsadat Mireshghallah (UW/UCSD), Cuong Tran (UVA/SyracuseU), Krishna Acharya (Georgia Tech), Haofan Wang (Xiaohongshu/CMU), Aman Priyanshu (CMU/Manipal) and Supriti Vijay (Adobe/Manipal).

News
Selected Publications

For a full list of my publications, please visit my Google Scholar page.

Note: The convention in Theoretical CS is to list authors in alphabetical order by last name. (* indicates student author(s))




Places I've visited:
I'm also an avid and a frequent traveler; already having visited 20+ countries.
Here, I keep a track of all the (new) places I've visited during my Masters/PhD :
  • Amman --> Aqaba --> Wadi Rum --> Petra --> Dead Sea 🌊 --> Jerash --> Amman, Jordan 🇯🇴 [Fall Break 2024]
  • Bali, Indonesia 🇮🇩 [End of Summer 2024]
  • Rio de Janeiro, Brazil 🇧🇷 [FAccT'24]
  • Lima --> Paracas --> Cusco --> Machu Picchu, Peru 🇵🇪 [Summer 2024]
  • Oranjestad, Aruba 🇦🇼 [Spring Break 2024]
  • San Diego, CA [Winter Break 2023]
  • New Orleans, LA [NeurIPS'23]
  • Boston, MA [EAAMO'23; WPTM-USENIX SOUPS'22]
  • Destin, FL [Fall Break 2023]
  • Asheville, NC / Blue Ridge Mountains [B'day + July 4th weekend]
  • Raleigh, NC [SaTML'23]
  • New Brunswick, NJ -- Rutgers University [Winter Break 2022]
  • San Juan, PR 🇵🇷[Fall Break 2022]
  • Syracuse, NY [Summer Break 2022]
  • Niagara Falls, NY [Spring Break 2022]
  • Philadelphia, PA -- University of Pennsylvania (UPenn) [Winter Break 2021]

Thanks to Jon Barron for sharing the template/source code of this website!