Mechanism design for self-reporting baselines in Demand Response. - Deepan Muthirayan; Dileep M. Kalathil; Kameshwar Poolla; Pravin Varaiya (ACC, 2016)

Baseline Estimation and Scheduling for Demand Response. - Deepan Muthirayan; Dileep M. Kalathil; Kameshwar Poolla; Pravin Varaiya (CDC, 2018)

Effect of Real-Time Electricity Pricing on Ancillary Service Requirements. - Md Umar Hashmi; Deepan Muthirayan; Ana Busic (e-Energy, 2018)

Working Memory Augmentation for Improved Learning in Neural Adaptive Control. - Deepan Muthirayan; Pramod P. Khargonekar (CDC, 2019)

Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear Systems. - Deepan Muthirayan; Pramod P. Khargonekar (CoRR, 2019)

Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. - Deepan Muthirayan; Scott A. Nivison; Pramod P. Khargonekar (ACC, 2020)

Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract. - Anomadarshi Barua; Deepan Muthirayan; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (ICCPS, 2020)

Regret Guarantees for Online Receding Horizon Control. - Deepan Muthirayan; Jianjun Yuan; Pramod P. Khargonekar (CoRR, 2020)

Meta-Learning Guarantees for Online Receding Horizon Control. - Deepan Muthirayan; Pramod P. Khargonekar (CoRR, 2020)

Cognitive Preadaptation for Resilient Adaptive Control. - Deepan Muthirayan; Pramod P. Khargonekar (CoRR, 2020)

A Minimal Incentive-Based Demand Response Program With Self Reported Baseline Mechanism. - Deepan Muthirayan; Enrique Baeyens; Pratyush Chakraborty; Kameshwar Poolla; Pramod P. Khargonekar (IEEE Trans. Smart Grid, 2020)

Mechanism Design for Demand Response Programs. - Deepan Muthirayan; Dileep M. Kalathil; Kameshwar Poolla; Pravin Varaiya (IEEE Trans. Smart Grid, 2020)

Cognitive Digital Twin for Manufacturing Systems. - Mohammad Abdullah Al Faruque; Deepan Muthirayan; Shih-Yuan Yu; Pramod P. Khargonekar (DATE, 2021)

Dynamic Matching Markets in Power Grid: Concepts and Solution using Deep Reinforcement Learning. - Majid Majidi; Deepan Muthirayan; Masood Parvania; Pramod P. Khargonekar (CoRR, 2021)

Generative Adversarial Imitation Learning for Empathy-based AI. - Pratyush Muthukumar; Karishma Muthukumar; Deepan Muthirayan; Pramod P. Khargonekar (CoRR, 2021)

Online Learning Robust Control of Nonlinear Dynamical Systems. - Deepan Muthirayan; Pramod P. Khargonekar (CoRR, 2021)

Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction. - Arnav V. Malawade; Shih-Yuan Yu; Brandon Hsu; Deepan Muthirayan; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (CoRR, 2021)

Online Learning for Receding Horizon Control with Provable Regret Guarantees. - Deepan Muthirayan; Jianjun Yuan; Dileep M. Kalathil; Pramod P. Khargonekar (CoRR, 2021)

Online Robust Control of Linear Dynamical Systems with Prediction. - Deepan Muthirayan; Dileep M. Kalathil; Pramod P. Khargonekar (CoRR, 2021)

Online Algorithms for Dynamic Matching Markets in Power Distribution Systems. - Deepan Muthirayan; Masood Parvania; Pramod P. Khargonekar (IEEE Control. Syst. Lett., 2021)

Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems. - Arnav V. Malawade; Nathan D. Costa; Deepan Muthirayan; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (IEEE Trans. Ind. Informatics, 2021)

Selling Demand Response Using Options. - Deepan Muthirayan; Dileep M. Kalathil; Sen Li; Kameshwar Poolla; Pravin Varaiya (IEEE Trans. Smart Grid, 2021)

Adaptive Gradient Online Control. - Deepan Muthirayan; Jianjun Yuan; Pramod P. Khargonekar (ACC, 2022)

On the Performance of Reinforcement Learning Algorithms for Dynamic Matching of Renewable Energy with Flexible Loads. - Majid Majidi; Deepan Muthirayan; Masood Parvania; Pramod P. Khargonekar (CDC, 2022)

Online Learning for Predictive Control with Provable Regret Guarantees. - Deepan Muthirayan; Jianjun Yuan; Dileep Kalathil; Pramod P. Khargonekar (CDC, 2022)

Adaptive Control of Unknown Time Varying Dynamical Systems with Regret Guarantees. - Deepan Muthirayan; Ruijie Du; Yanning Shen; Pramod P. Khargonekar (CoRR, 2022)

Spatiotemporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction. - Arnav Vaibhav Malawade; Shih-Yuan Yu; Brandon Hsu; Deepan Muthirayan; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (IEEE Internet Things J., 2022)

Hierarchical Temporal Memory-Based One-Pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids. - Anomadarshi Barua; Deepan Muthirayan; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (IEEE Trans. Dependable Secur. Comput., 2022)

Graph Learning for Cognitive Digital Twins in Manufacturing Systems. - Trier Mortlock; Deepan Muthirayan; Shih-Yuan Yu; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (IEEE Trans. Emerg. Top. Comput., 2022)

Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions. - Shih-Yuan Yu; Arnav Vaibhav Malawade; Deepan Muthirayan; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (IEEE Trans. Intell. Transp. Syst., 2022)

Online Algorithms for Network Robustness Under Connectivity Constraints. - Deepan Muthirayan; Pramod P. Khargonekar (IEEE Trans. Netw. Sci. Eng., 2022)

SceneGraph-Risk-Assessment dataset. - Brandon Hsu; Shih-Yuan Yu; Arnav V. Malawade; Deepan Muthirayan; Pramod P. Khargonekar; Mohammad Abdullah Al Faruque (IEEE DataPort, 2022)

Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems. - Deepan Muthirayan; Ruijie Du; Yanning Shen; Pramod P. Khargonekar (CDC, 2023)

Online Learning for Incentive-Based Demand Response. - Deepan Muthirayan; Pramod P. Khargonekar (CDC, 2023)

Competing Bandits in Time Varying Matching Markets. - Deepan Muthirayan; Chinmay Maheshwari; Pramod P. Khargonekar; Shankar S. Sastry (L4DC, 2023)

Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning. - Majid Majidi; Deepan Muthirayan; Masood Parvania; Pramod P. Khargonekar (CoRR, 2023)

Online Convex Optimization With Long-Term Constraints for Predictable Sequences. - Deepan Muthirayan; Jianjun Yuan; Pramod P. Khargonekar (IEEE Control. Syst. Lett., 2023)

Memory Augmented Neural Network Adaptive Controllers: Performance and Stability. - Deepan Muthirayan; Pramod P. Khargonekar (IEEE Trans. Autom. Control., 2023)

Meta-Learning Online Control for Linear Dynamical Systems. - Deepan Muthirayan; Dileep Kalathil; Pramod P. Khargonekar (IEEE Trans. Autom. Control., 2025)

Long-Term Fairness for Real-Time Decision Making: A Constrained Online Optimization Approach. - Ruijie Du; Deepan Muthirayan; Pramod P. Khargonekar; Yanning Shen (IEEE Trans. Neural Networks Learn. Syst., 2025)