Dong Jin Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Researcher

University of Arkansas at Fayetteville

faculty

22 h-index 112 pubs 1,686 cited

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OverviewAI-generated summary

Dong Jin's research focuses on the development and application of advanced computational models and simulation techniques. Jin has led projects funded by the National Science Foundation (NSF), including a $320,000 grant for research on enabling programmable in-network security for an attack-resilient smart grid, and an IUCRC planning grant for the Center for Infrastructure Security in the Era of AI (ISEAI) totaling $20,000. Additional NSF funding has supported student travel to the Principles of Advanced Discrete Simulation (PADS) conference, totaling $15,000 across multiple awards.

Jin's recent publications explore diverse areas such as quantum network simulation, federated incremental learning for intrusion detection, power grid restoration planning with interdependency modeling, and industrial network protocol security. Other work includes research on graph neural networks for causality discovery in multi-step attack scenarios and enhancing network emulation fidelity. With 112 total publications and an h-index of 22, Jin has a significant publication record. Key collaborators include Yanfeng Qu and Luke Waind from the University of Arkansas at Fayetteville, with whom Jin has co-authored multiple publications.

Metrics

h-index: 22
Publications: 112
Citations: 1,686

Selected Publications

In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches (2025) DOI
Introduction to the Special Issue on PADS 2023 (2025) DOI
Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation (2025) DOI
Introduction to the Special Issue on PADS 2022 (2024) DOI
A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches (2024) DOI
Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids (2024) DOI
Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation (2024) DOI
Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments (2024) DOI
In-Network Logging and Missing Data Recovery In PMU Networks via Programmable Data Plane Devices (2024) DOI
Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches (2024) DOI
Industrial Network Protocol Security Enhancement Using Programmable Switches (2023) DOI
VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications (2023) DOI
Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems (2023) DOI
Enhancing Fidelity of P4-Based Network Emulation with a Lightweight Virtual Time System (2023) DOI
HELICSAuto: Automating the Development of Cyber-Physical Co-Simulation Framework for Smart Grids (2023) DOI