Sid Srikanth


I'm an undergraduate researcher at the University of Southern California in Los Angeles. I am grateful to be advised by Stefanos Nikolaidis at the ICAROS Lab, and John Krumm and Cyrus Shahabi at the InfoLab. I have previously worked with Ashish Amresh at the Decision Theater.

I'm originally from Denver, Colorado. In my free time, I love to explore Los Angeles and am a big Denver sports fan!

Feel free to reach out to me at ssrikant [at] usc [dot] edu if you have any inquiries or just want to chat :)

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Research

My main research interests are in building generalizable robots and improving human-robot interactions. I have also explored various other research topics, including (but not limited to) quality diversity optimization, scenario generation, and causality inference.

Selected work

Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models

Siddharth Srikanth Varun Bhatt, Boshen Zhang, Werner Hager, Charles Michael Lewis, Katia P. Sycara, Aaquib Tabrez, Stefanos Nikolaidis
arXiv, 2025   / arXiv

We introduce PLAN-QD: a framework that algorithmically generates diverse, human-like agents by modeling them as LLM-powered agents to simulate human teaming and communicative behavior.


Design and source code from Jon Barron's website