Sotabase

Career

· Assistant Professor, Plaksha University2024–
· Visiting Professor, Plaksha University2023–2024
· Post Doctoral Researcher, University of California Irvine, Dept. of Electrical Engineering and Computer Science2018–2023
· Post-Doctoral Researcher, Dept. Of Electrical And Computer Engineering, Cornell University2017–2018
· Founding Team Member, Nalanda 2.0 (Current)2016–
· Graduate Student Researcher, U C Berkeley2010–2016
· Doctor of Philosophy (PhD), Mechanical Engineering, University of California, Berkeley2010–2016
· M.S., University of California, Berkeley2010–2012
· B.Tech/M.tech, Engineering Design, Indian Institute of Technology, Madras2005–2010

Publications (48)

Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
2020
103
cited
Mechanism Design for Demand Response Programs
IEEE Transactions on Smart Grid · 2017
81
cited
Spatiotemporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
2021
74
cited
Graph Learning for Cognitive Digital Twins in Manufacturing Systems
2021
68
cited
Cognitive Digital Twin for Manufacturing Systems
2021
51
cited
A Minimal Incentive-Based Demand Response Program With Self Reported Baseline Mechanism
IEEE Transactions on Smart Grid · 2019
41
cited
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems
2021
24
cited
Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract
2020
22
cited
Hierarchical Temporal Memory-Based One-Pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids
2022
19
cited
Mechanism design for self-reporting baselines in Demand Response
American Control Conference · 2016
16
cited
Selling Demand Response Using Options
IEEE Transactions on Smart Grid · 2019
14
cited
Effect of Real-Time Electricity Pricing on Ancillary Service Requirements
2018
10
cited
Baseline Estimation and Scheduling for Demand Response
IEEE Conference on Decision and Control · 2018
8
cited
Memory Augmented Neural Network Adaptive Controllers: Performance and Stability
2019
8
cited
Online Learning for Receding Horizon Control with Provable Regret Guarantees
2021
7
cited
Competing Bandits in Time Varying Matching Markets
Conference on Learning for Dynamics & Control · 2022
6
cited
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems
2020
6
cited
Online Convex Optimization With Long-Term Constraints for Predictable Sequences
2022
6
cited
Online Learning for Predictive Control with Provable Regret Guarantees
2021
6
cited
Online Learning Robust Control of Nonlinear Dynamical Systems
2021
4
cited
Sotabase
Deepan Muthirayan | Researcher Profile | Sotabase | Sotabase