Laya Das

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Degree Centrality

Top Venues

Comput. Chem. Eng.

IEEE Trans. Ind. Informatics

Publications

Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
Uncertainty-aware deep learning for monitoring and fault diagnosis from synthetic data. Reliab. Eng. Syst. Saf. 251 (2024)
Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines. CoRR (2023)
Ritu Ranjan, Laya Das, Niket S. Kaisare, Rajagopalan Srinivasan
A testbed for studying the interactions between human operators and advanced control systems. Comput. Chem. Eng. 178 (2023)
Blazhe Gjorgiev, Laya Das, Seline Merkel, Martina Rohrer, Etienne Auger, Giovanni Sansavini
Simulation-driven deep learning for locating faulty insulators in a power line. Reliab. Eng. Syst. Saf. 231 (2023)
Laya Das, Sai Munikoti, Mahantesh Halappanavar
There is more to graphs than meets the eye: Learning universal features with self-supervision. CoRR (2023)
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing 521 (2023)
Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
Anomaly detection for automated inspection of power line insulators. CoRR (2023)
Laya Das, Mohammad Hossein Saadat, Blazhe Gjorgiev, Etienne Auger, Giovanni Sansavini
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime. CoRR (2022)
Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR (2022)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan
Scalable graph neural network-based framework for identifying critical nodes and links in complex networks. Neurocomputing 468 (2022)
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR (2022)
Venkat Venkatasubramanian, Abhishek Sivaram, Laya Das
A unified theory of emergent equilibrium phenomena in active and passive matter. Comput. Chem. Eng. 164 (2022)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks. SMC (2021)
Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
Robust and efficient swarm communication topologies for hostile environments. Swarm Evol. Comput. 62 (2021)
Laya Das, Abhishek Sivaram, Venkat Venkatasubramanian
Hidden representations in deep neural networks: Part 2. Regression problems. Comput. Chem. Eng. 139 (2020)
Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
Hidden representations in deep neural networks: Part 1. Classification problems. Comput. Chem. Eng. 134 (2020)
Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
Robust and Efficient Swarm Communication Topologies for Hostile Environments. CoRR (2020)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan
Graph neural network based approximation of Node Resiliency in complex networks. CoRR (2020)
Amit Joshi, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan
A Framework for Efficient Information Aggregation in Smart Grid. IEEE Trans. Ind. Informatics 15 (4) (2019)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan
Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors. IEEE Trans. Ind. Informatics 15 (9) (2019)
Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance. IEEE Trans. Control. Syst. Technol. 24 (3) (2016)
Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
On-line performance monitoring of PEM fuel cell using a fast EIS approach. ACC (2015)
Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
Data driven approach for performance assessment of linear and nonlinear Kalman filters. ACC (2014)