Chandan Sharma

Orcid: 0000-0002-7864-7088

According to our database1, Chandan Sharma authored at least 13 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
Schema-Based Query Optimisation for Graph Databases.
CoRR, 2024

2023
Tracing security requirements in industrial control systems using graph databases.
Softw. Syst. Model., 2023

DIY Wind Turbines: A Low-Cost Smart ICPS for Educational Research.
Proceedings of the IEEE International Conference on Teaching, 2023

2022
FLASc: a formal algebra for labeled property graph schema.
Autom. Softw. Eng., 2022

2021
Practical and comprehensive formalisms for modelling contemporary graph query languages.
Inf. Syst., 2021

Role of the AlGaN Cap Layer on the Trapping Behaviour of N-Polar GaN MISHEMTs.
Proceedings of the IEEE International Reliability Physics Symposium, 2021

2020
FLUX: From SQL to GQL query translation tool.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
IASelect: Finding Best-fit Agent Practices in Industrial CPS Using Graph Databases.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

A Schema-First Formalism for Labeled Property Graph Databases: Enabling Structured Data Loading and Analytics.
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019

2018
Distributed Relational Database Performance In Cloud Computing: An Investigative Study.
J. Inf. Technol. Manag., 2018

Incorporation of the Virtual Gate Effect and Consequences of its Neglect in the Simulation of ON-State I<sub>D</sub>-V<sub>DS</sub> Curves of AlGaN/GaN HEMTs.
Proceedings of the 2018 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium (BCICTS), 2018

2017
Distributed Relational Database Performance in Cloud Computing: an Investigative Study.
Proceedings of the 23rd Americas Conference on Information Systems, 2017

2016
A Distributed Security Model for Cloud Computing.
Proceedings of the 22nd Americas Conference on Information Systems, 2016


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