Srikar Mutnuri

CS PhD @ Biocomplexity Institute, UVA

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I’m a Ph.D. student in Computer Science at UVA, where I am advised by Madhav Marathe at the Biocomplexity Institute.

Broadly, I’m interested in network science and graph-based methods for studying complex systems. My current work focuses on problems in brain dynamics, contagion processes, and wildfire simulations, with an emphasis on using dynamic network representations to better model and understand these systems.

Here’s my full CV.

I’d love to collaborate, feel free to reach out at <lastname> at virginia dot edu to chat!

News

  • Feb 2026: Work on network-mediated propagation in time-varying brain networks accepted to NetSci 2026 (Boston, MA).

  • Dec 2025: @ Phoeniz, AZ for the 4th Learning on Graphs (LoG) Conference. Served as the Infra co-chair.

  • Oct 2025: @ Pacific Grove, CA to present our expanded work on brain dynamics as a poster at the 59th Asilomar Conference on Signals, Systems, & Computers.

  • May 2025: Presented our preliminary work on causal brain estimation as an oral (remotely) at the Graph Signal Processing Workshop in Montreal, Canada.

  • Apr 2025:
  • Feb 2025: Visiting historic (and chilly!) Philly for AAAI-25. Presenting a poster on our work in dynamics informed GNNs.

  • Oct 2024: Presenting a poster of our work on GNNs for epidemics at the UVA CS Research Symposium

  • Aug 2024: Started as a CS PhD @ UVA with the Biocomplexity Institute!

See older updates here.

Selected Publications

  1. ASILOMAR 2025 Causal Analysis of Graph Signals for Brain Effectome Inference
    Srikar Mutnuri, Aniruddha Adiga, Srinivasan Venkatramanan, and 1 more author
    In 2025 59th Asilomar Conference on Signals, Systems, and Computers, 2025 | DOI | PDF
  2. AAAI 2025 Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction
    Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, and 1 more author
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025 | PDF | Code
  3. ICCV 2023 Firefly: A synthetic dataset for ember detection in wildfire
    Yue Hu, Xinan Ye, Yifei Liu, and 7 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | PDF | Blog