Ajay Dev Chhokra

Orcid: 0000-0001-6502-9726

According to our database1, Ajay Dev Chhokra authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reinforcement-Learning-Based Proactive Control for Enabling Power Grid Resilience to Wildfire.
IEEE Trans. Ind. Informatics, January, 2024

2021
Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire.
CoRR, 2021

RT-METER: a real-time, multi-layer cyber-power testbed for resiliency analysis.
Proceedings of the MSCPES@CPSIoTWeek '21: Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Virtual Event, May 19, 2021

Power-attack: a comprehensive tool-chain for modeling and simulating attacks in power systems.
Proceedings of the MSCPES@CPSIoTWeek '21: Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Virtual Event, May 19, 2021

2020
URMILA: Dynamically trading-off fog and edge resources for performance and mobility-aware IoT services.
J. Syst. Archit., 2020

Qualitative Fault Modeling in Safety Critical Cyber Physical Systems.
Proceedings of the SAM '20: 12th System Analysis and Modelling Conference, 2020

Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge.
Proceedings of the 4th IEEE International Conference on Fog and Edge Computing, 2020

A Binary Decision Diagram Based Cascade Prognostics Scheme For Power Systems.
Proceedings of the 2020 American Control Conference, 2020

2019
URMILA: A Performance and Mobility-Aware Fog/Edge Resource Management Middleware.
Proceedings of the IEEE 22nd International Symposium on Real-Time Distributed Computing, 2019

Supporting fog/edge-based cognitive assistance IoT services for the visually impaired: poster abstract.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019

2018
FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

2017
A simulation testbed for cascade analysis.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

INDICES: Exploiting Edge Resources for Performance-Aware Cloud-Hosted Services.
Proceedings of the 1st IEEE International Conference on Fog and Edge Computing, 2017

Diagnostics and prognostics using temporal causal models for cyber physical energy systems.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

A Systematic Approach of Identifying Optimal Load Control Actions for Arresting Cascading Failures in Power Systems.
Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, 2017

2016
Poster Abstract: Distributed Reasoning for Diagnosing Cascading Outages in Cyber Physical Energy Systems.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

2015
Using temporal causal models to isolate failures in power system protection devices.
IEEE Instrum. Meas. Mag., 2015


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