Theory Research Discussions

Hello folks, we have a discussion group for theory research students across various IIIT labs. Students meet up every week to discuss and share their current research ideas and work with the rest of the group. Everyone is free to join and learn more about the work that goes on in our lab. This is a purely student-run initiative, to bring the theory research community closer.

Labs

  • Center for Security Theory and Algorithms Research (CSTAR)
  • Center for Computational Natural Sciences and Biology (CCNSB)

Who does this benefit?

For existing research students:

  • Helps get a better idea of other research projects in the group.
  • More opportunities for idea sharing and collaboration.
  • Brings our research group closer as a community.

For students who plan to join/have just joined one of the labs/groups:

  • Gives a nice overview of different projects and topics of interest.
  • Introduces you to the other researchers in the group, making it easier to approach them.
  • Can give a smoother transition into research, saving you time from doing a lot of searching yourself.

For students of other labs:

  • Paints a picture of what theory research folks are doing.
  • Opens up more avenues for cross-discipline collaboration.
  • Could be a fun thing to learn other random research topics.

For new students/non-research folks:

  • An exposition into our world of research.
  • Chances for potential opportunities, if you want to try this out.
  • A chance for us to share our ideas and work with more people who are curious and interested.

The Plan

Weekly lab meetings - Tuesdays 9 PM - 10 PM IST
If you would like to get a calendar invite, please join our google group

Students meet up every week to discuss their work, recent updates, new opportunities, collaboration offers etc.

During the 1 hour session, to keep discussions productive, we will stick to our level of abstraction. This might make it harder for students of other disciplines to follow. To cover that, people are free to hangout after the official session closes, to chat with the others - either one on one, or in the group chat. The lab students will be more than happy to explain details of their work, or basics leading up to it.

(Will be updated once campus opens up to account for in-person meets)

People

Last Updated: 02-06-2021

Current Students

Student Topic/Field of Research Lab Advisor Batch Co-Advisor (if any)
Anurudh Peduri Quantum Compilation CSTAR Prof. Kannan Srinathan UG2K15 CSD Prof. Tobias Grosser
Arjun P CSTAR Prof. Kannan Srinathan UG2K15 CSD
Siddharth Bhat Mathematical Models for Word Embeddings, Formal Verification CSTAR Prof. Kannan Srinathan LE2K16 CSD Prof. Manish Shrivastava
Raj Maheshwari CSTAR Prof. Kannan Srinathan UG2K19 CSE
Mahathi Vempati Quantum Information CSTAR Prof. Indranil Chakrabarty UG2K16 CND Prof. Nirman Ganguly
Aditya Morolia Quantum Algorithms CSTAR Prof. Indranil Chakrabarty UG2K17 CND Prof. Shantanav Chakraborty
Suryansh Srivastava Quantum Algorithms and Information CSTAR Prof. Indranil Chakrabarty UG2K17 CND
Abhyudit Mohla CSTAR Prof. Indranil Chakrabarty UG2K18 CSD
Alapan Chaudhuri Quantum Information CSTAR Prof. Indranil Chakrabarty UG2K19 CSD
Pahulpreet Singh Quantum Information CSTAR Prof. Indranil Chakrabarty UG2K19 CND
Shreyas Pradhan Quantum Thermodynamics CSTAR Prof: Samyadeb Bhattacharya UG2K19 CND
Rutvij Menavlikar Quantum Computing CSTAR Prof. Shantanav Chakraborty UG2K19 CSD
Athreya C MCMC and Efficient Graph Centrality Algorithms CSTAR LE2K18 CSD
Shantanu Das MCMC CSTAR Prof. Girish Varma UG2K17 CSD
Sayantan Jana Efficient Graph Centrality Algorithms CSTAR Prof. Kishore Kothapalli UG2K17 CSD
Tanmay Kumar Sinha Riemannian Optimization CSTAR Prof. Pawan Kumar UG2K17 CSD
Arpan Dasgupta ML Optimization CSTAR Prof. Pawan Kumar UG2K18 CSE
Animesh Sinha RL and Tree Searches in NISQ Quantum Circuit design CCNSB Prof. Harjinder Singh UG2K18 CND

Past Students

Disclaimer

The initiative is completely unoffical and student-run. The information is collected by students of the group, and is likely to have errors/inaccuracies. Do not use them as an absolute source of information. If you spot any mistakes, please send us a PR with the fix.