Abstracts and Workshop Articles

  1. Yurkovic-Harding, Julia Rose, Vignesh Narayanan, John Richards, and Jessica Bradshaw, "Social behaviors forecast physiological regulation for infants with ASD and TD infants," INSAR 2025.
  2. Bharath Muppasani, Protik Nag, Biplav Srivastava, and Vignesh Narayanan, "On generalized planning for controlling opinion networks: Interpreting human-AI dialog states and beliefs," Workshop on Generalization in Planning, AAAI, Philadelphia, 2025.
  3. Erik Connerty, Rae Jones, Protik Nag, Bharath Muppasani, Sai Teja Paladi, Vignesh Narayanan, Biplav Srivastava, and Michael Huhns, "Information competition simulator: A high-performance approach to modeling opinion dynamics in large populations," DiscoverUSC-2024.
  4. Diksha Srishyla, Erik Connerty, Vignesh Narayanan, and Christian O'Reilly, "Systematic comparison of brain connectivity metrics for EEG," DiscoverUSC-2024.
  5. Chathurangi Shyalika, Kaushik Roy, Renjith Prasad, Yuxin Zi, Priya Mittal, Fadi El Kalach, Vignesh Narayanan, Ramy Harik, and Amit Sheth, "RI2AP-Robust and interpretable 2D anomaly prediction in assembly pipelines," DiscoverUSC-2024 (Best poster award).
  6. Deepa Tilwani, Christian O'Reilly, Raxitkumar Goswami, Nicholas Riccardi, Xuan Yang, Valerie L. Shalin, Vignesh Narayanan, Svetlana Shinkareva, Amit P. Sheth, and Rutvik Harshad Desai, "Predicting language outcomes from MRI post-stroke: A machine learning approach," The Organization for Human Brain Mapping (OHBM), 29th Annual meeting, July 2023.
  7. Vignesh Narayanan, Bharath Muppasani, Sai Teja Paladi, Biplav Srivastava, and Michael Huhns, "Modeling and steering multi-dimensional opinion networks with aggregated measurements," SIAM Conference on Applications of Dynamical Systems (DS23), Portland, Oregon, May 2023.
  8. Vignesh Narayanan and Avimanyu Sahoo, "Optimal sampling, communication, and distributed control protocols via pseudo-spectral methods," SIAM Conference on Applications of Dynamical Systems (DS23), Portland, Oregon, May 2023.
  9. Avimanyu Sahoo, Geetika Vennam, and Vignesh Narayanan, "Neural network-based state estimation of lithium-ion batteries under internal faults," SIAM Conference on Applications of Dynamical Systems (DS23), Portland, Oregon, May 2023.
  10. "Event-driven approximate dynamic programming for feedback control," Seminar in Advances in Computing Series, University of South Carolina, April 2022.
  11. Jr-Shin Li, Wei Miao, and Vignesh Narayanan, "A scalable computational framework for solving large-scale linear regression problems," The Second Joint SIAM/CAIMS Annual Meeting (AN20), Toronto, Canada, July 2020 (Accepted contributed lecture).
  12. Vignesh Narayanan, Jr-Shin Li, and Shinung Ching, "Biophysically interpretable, model-free identification of neuronal dynamics," Computational and Systems Neuroscience (Cosyne), Denver, CO, 2018.

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