Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, and Vignesh Narayanan, "OMEGA: An ontology-driven tool for explaining multi-agent path finding," AAAI, 2026 (Accepted for publication in the demonstration track).
Arian Yousefian, Avimanyu Sahoo, and Vignesh Narayanan, "Online pseudospectral approach for system identification and state estimation," in IEEE Conference on Decision and Control (CDC), 2025 (Accepted for publication).
Arian Yousefian, Avimanyu Sahoo, and Vignesh Narayanan, "A novel online system identification using Chebyshev polynomial basis of the second kind," in IEEE American Control Conference, 2025.
Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava, Michael Huhns, "Towards effective planning strategies for dynamic opinion networks," in Neural Information Processing Systems, 2024.
Bharath Muppasani, Nitin Gupta, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, and Vignesh Narayanan, "A planning ontology to represent and exploit planning knowledge for performance efficiency," CODS-COMAD, 2024.
Arian Yousefian, Avimanyu Sahoo, and Vignesh Narayanan, "Aperiodic sensing and data-driven system identification of nonlinear systems using Chebyshev pseudospectral approach," in IEEE Conference on Decision and Control (CDC), 2024.
Yuxin Zi, Kaushik Roy, Vignesh Narayanan, and Amit Sheth, "Exploring alternative approaches to language modeling for learning from data and knowledge," AAAI-MAKE 2024.
Maxwell Geiger, Vignesh Narayanan, Sarangapani Jagannathan, "Optimal tracking of uncertain linear discrete-time systems using time-varying lifelong Q-learning," in IEEE American Control Conference (ACC), 2024.
Bharath Muppasani, Vignesh Narayanan, Michael Huhns, and Biplav Srivastava, "Expressive and flexible simulation of information spread strategies in social networks using planning," AAAI, 2024 (Best technical demonstration award).
Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, and Amit Sheth, "Cook-Gen: Robust generative modeling of cooking actions from recipes," IEEE Conference on Systems, Man and Cybernetics, 2023.
Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, and Amit Sheth, "Process knowledge-infused learning for clinician-friendly explanations," AAAI Second Symposium on Human Partnership with Medical Artificial Intelligence, 2023.
Shrey Gupta, Anmol Agarwal, Manas Gaur, Koushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, and Amit Sheth, "Learning to automate follow-up question generation using process knowledge for depression triage on Reddit posts," CLPsych@ NAACL, 2022.
Vignesh Narayanan, Brett W. Robertson, Andrea Hickerson, Biplav Srivastava, and Bryant W. Smith, "Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks," in 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), pp. 297-302, IEEE, 2021.
Avimanyu Sahoo, Vignesh Narayanan, and Qiming Zhao, "Adaptive gain observers for distributed state estimation of linear systems," in IEEE American Control Conference (ACC), New Orleans, Louisiana, USA, 2021.
Avimanyu Sahoo, Vignesh Narayanan, and Qiming Zhao, "Finite-time adaptive optimal output feedback control of linear systems with intermittent feedback," in IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020.
Yao-Chi Yu, Vignesh Narayanan, Shinung Ching, and Jr-Shin Li, "Learning to control neurons using aggregated measurements," in IEEE American Control Conference (ACC), Denver, USA, pp. 4028-4033, 2020.
Wei Zhang, Vignesh Narayanan, and Jr-Shin Li, "Robust population transfer for coupled spin ensembles," in IEEE Conference on Decision and Control (CDC), Nice, France, pp. 419-424, 2019.
Vignesh Narayanan, Jason Ritt, Jr-Shin Li, and Shinung Ching, "A learning framework for controlling spiking neural networks," in IEEE American Control Conference (ACC), Philadelphia, USA, pp. 211-216, 2019.
Vignesh Narayanan, Sarangapani Jagannathan, and Rohollah Moghadam, "Optimality in event-triggered adaptive control of uncertain linear dynamical systems," in AIAA Scitech Forum, San Diego, CA, USA, pp. 2187, 2019.
Avimanyu Sahoo and Vignesh Narayanan, "Event-based near optimal sampling and tracking control of nonlinear systems," in IEEE Conference on Decision and Control (CDC), Miami Beach, FL, USA, pp. 55-60, 2018.
Vignesh Narayanan, Avimanyu Sahoo, and Sarangapani Jagannathan, "Approximate optimal distributed control of nonlinear interconnected systems using nonzero-sum games," in IEEE Conference on Decision and Control (CDC), Miami Beach, FL, USA, pp. 2872-2877, 2018.
Vignesh Narayanan, Avimanyu Sahoo, and Sarangapani Jagannathan, "Optimal adaptive distributed control of linear interconnected systems," in IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, pp. 1441-1446, 2018.
Avimanyu Sahoo, Vignesh Narayanan, and Sarangapani Jagannathan, "Event-triggered control of N-player nonlinear systems using nonzero-sum games," in IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, pp. 1447-1452, 2018.
Vignesh Narayanan, Avimanyu Sahoo, and Sarangapani Jagannathan, "Optimal event-triggered control of nonlinear systems: A min-max approach," in IEEE American Control Conference (ACC), Milwaukee, WI, USA, pp. 3441–3446, 2018.
Avimanyu Sahoo, Vignesh Narayanan, and Sarangapani Jagannathan, "Optimal event-triggered control of uncertain linear networked control systems: A co-design approach," in IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, 2017.
Avimanyu Sahoo, Vignesh Narayanan, and Sarangapani Jagannathan, "Optimal sampling and regulation of uncertain interconnected linear continuous time systems," in IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, 2017.
Haci Mehmet Guzey, Vignesh Narayanan, Sarangapani Jagannathan, Travis Dierks, and Levent Acar, "Distributed consensus-based event-triggered approximate control of non-holonomic mobile robot formations," in IEEE American Control Conference (ACC), Seattle, WA, USA, pp. 3194-3199, 2017.
Nathan Szanto, Vignesh Narayanan, and Sarangapani Jagannathan, "Event-sampled control of quadrotor unmanned aerial vehicle," in IEEE American Control Conference (ACC), Seattle, WA, USA, pp. 2956-2961, 2017.
Vignesh Narayanan and Sarangapani Jagannathan, "Online reinforcement with exploration for distributed control," in International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, USA, pp. 4022-4027, 2017.
Vignesh Narayanan and Sarangapani Jagannathan, "Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback," in IEEE Conference on Decision and Control (CDC), Las Vegas, NV, pp. 5827-5832, 2016.
Nathan Szanto, Vignesh Narayanan, and Sarangapani Jagannathan, "Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system," in IEEE Conference on Decision and Control (CDC), Las Vegas, NV, pp. 3395-3400, 2016.
Vignesh Narayanan and Sarangapani Jagannathan, "Event-sampled adaptive neural network control of robot manipulators," in International joint conference on neural networks (IJCNN), Vancouver, BC, pp. 4941-4946, 2016.
Vignesh Narayanan and Sarangapani Jagannathan, "Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems," in IEEE American Control Conference (ACC), Boston, MA, pp. 3044-3049, 2016.
Vignesh Narayanan and Sarangapani Jagannathan, "Distributed adaptive optimal regulation of uncertain large-scale linear networked control systems using Q-learning," in IEEE Symposium Series on Computational Intelligence, pp. 587-592, 2015.
Vignesh Narayanan, Akhilesh Swarup, and Pulak Halder, "Design of autopilots for tactical aerospace vehicles: a comparative study," in IFAC Proceedings, vol. 47(1), pp. 271-278, 2014.
Siddhardha Kedarisetty, Vignesh Narayanan, and Pulak Halder, "Autopilot design for flexible tactical aerospace vehicle using parameter plane technique," in IFAC Proceedings, vol. 47(1), pp. 211-218, 2014.