| Mechanism design for demand response programs D Muthirayan, D Kalathil, K Poolla, P Varaiya IEEE Transactions on Smart Grid 11 (1), 61-73, 2019 | 110 | 2019 |
| Scene-graph augmented data-driven risk assessment of autonomous vehicle decisions SY Yu, AV Malawade, D Muthirayan, PP Khargonekar, MA Al Faruque IEEE Transactions on Intelligent Transportation Systems 23 (7), 7941-7951, 2021 | 89 | 2021 |
| Spatiotemporal scene-graph embedding for autonomous vehicle collision prediction AV Malawade, SY Yu, B Hsu, D Muthirayan, PP Khargonekar, ... IEEE Internet of Things Journal 9 (12), 9379-9388, 2022 | 66 | 2022 |
| Graph learning for cognitive digital twins in manufacturing systems T Mortlock, D Muthirayan, SY Yu, PP Khargonekar, MA Al Faruque IEEE Transactions on Emerging Topics in Computing 10 (1), 34-45, 2021 | 66 | 2021 |
| Cognitive digital twin for manufacturing systems MA Al Faruque, D Muthirayan, SY Yu, PP Khargonekar 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 440-445, 2021 | 61 | 2021 |
| A Minimal Incentive-based Demand Response Program With Self Reported Baseline Mechanism D Muthirayan, E Baeyens, P Chakraborty, K Poolla, PP Khargonekar IEEE Transactions on Smart Grid, 2019 | 49 | 2019 |
| Hierarchical temporal memory based machine learning for real-time, unsupervised anomaly detection in smart grid: WiP abstract A Barua, D Muthirayan, PP Khargonekar, MA Al Faruque 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS …, 2020 | 30 | 2020 |
| Mechanism design for self-reporting baselines in demand response D Muthirayan, D Kalathil, K Poolla, P Varaiya 2016 American Control Conference (ACC), 1446-1451, 2016 | 27 | 2016 |
| Neuroscience-inspired algorithms for the predictive maintenance of manufacturing systems AV Malawade, ND Costa, D Muthirayan, PP Khargonekar, MA Al Faruque IEEE Transactions on Industrial Informatics 17 (12), 7980-7990, 2021 | 24 | 2021 |
| Hierarchical temporal memory-based one-pass learning for real-time anomaly detection and simultaneous data prediction in smart grids A Barua, D Muthirayan, PP Khargonekar, MA Al Faruque IEEE Transactions on Dependable and Secure Computing 19 (3), 1770-1782, 2020 | 21 | 2020 |
| Selling Demand Response Using Options D Muthirayan, D Kalathil, S Li, K Poolla, P Varaiya IEEE Transactions on Smart Grid, 2019 | 16 | 2019 |
| Memory augmented neural network adaptive controllers: Performance and stability D Muthirayan, PP Khargonekar IEEE Transactions on Automatic Control, 2019 | 14 | 2019 |
| Effect of real-time electricity pricing on ancillary service requirements MU Hashmi, D Muthirayan, A Bušić Proceedings of the Ninth International Conference on Future Energy Systems …, 2018 | 11 | 2018 |
| Online Learning for Predictive Control with Provable Regret Guarantees D Muthirayan, J Yuan, D Kalathil, PP Khargonekar IEEE Conference on Decision and Control, 2022 | 10* | 2022 |
| Baseline estimation and scheduling for demand response D Muthirayan, D Kalathil, K Poolla, P Varaiya 2018 IEEE Conference on Decision and Control (CDC), 4857-4862, 2018 | 10 | 2018 |
| Meta-Learning Online Control for Linear Dynamical Systems D Muthirayan, D Kalathil, PP Khargonekar IEEE Conference on Decision and Control, 2022 | 7 | 2022 |
| Online Algorithms for Dynamic Matching Markets in Power Distribution Systems D Muthirayan, M Parvania, PP Khargonekar IEEE Control Systems Letters, 2020 | 7 | 2020 |
| Cognitive digital twin for manufacturing systems. In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)(pp. 440-445) MA Al Faruque, D Muthirayan, SY Yu, PP Khargonekar IEEE, 2021 | 6 | 2021 |
| Online Convex Optimization with Long Term Constraints for Predictable Sequences D Muthirayan, J Yuan, PP Khargonekar IEEE Control System Letters, 2022 | 5 | 2022 |
| Generative adversarial imitation learning for empathy-based AI P Muthukumar, K Muthukumar, D Muthirayan, P Khargonekar arXiv preprint arXiv:2105.13328, 2021 | 4 | 2021 |
Pramod KhargonekarUniversity of California, IrvineVerified email at uci.edu