Dong Jin

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

Federal Grant PI High Impact

Associate Professor

University of Arkansas

Also affiliated: University of Miami (2016); University of Illinois Urbana-Champaign (2009–2013); Illinois Institute of Technology (2014–2024)

21 h-index 96 pubs 1,682 cited

Research Areas

Biomedical Subjects

Links

ORCID Research Group

OverviewAI-generated summary

Dong Jin's research primarily focuses on network security, particularly within the context of smart grids and software-defined networks. He has received federal funding from the National Science Foundation (NSF) for several projects, including a $320,000 grant for research on "Enabling Programmable In-Network Security for an Attack-Resilient Smart Grid." Jin also serves as PI on an NSF IUCRC Planning Grant for the "Center for Infrastructure Security in the Era of AI (ISEAI)," totaling $20,000.

His work in network security extends to areas such as cyber resilience, malware classification using deep graph convolutional neural networks, and self-healing attack-resilient power system networks. Jin has also contributed to the development of discrete-event simulators for quantum networks. His scholarly output includes 112 publications, an h-index of 22, and over 1,700 citations. He leads a research group and collaborates with other researchers at the University of Arkansas at Fayetteville, including Yanfeng Qu and Zheng Hu, with whom he has co-authored multiple publications.

In addition to his work on network security, Jin has research interests in biological sciences, with publications related to lymphangiogenesis and the amelioration of secondary lymphedema in animal models. He has also published on topics such as virtual power system testbeds and smart street lighting systems.

Metrics

h-index: 21
Publications: 96
Citations: 1,682

Positions

Associate Professor 2023–present

University of Arkansas Department of Electrical Engineering and Computer Science ORCID

Selected Publications

Guest editorial: Special issue on AI for cyber-physical energy systems (2026)

Cyber-Physical Energy Systems DOI OpenAlex
Programmable Data Plane Approaches for ML-Based Anomalous Event Classification in Grid Sensor Networks (2026)

DOI OpenAlex
I-DETECT: In-network Deep Packet Inspection for Timed Event Correlation in Industrial Control Systems (2026)

DOI OpenAlex
Data-Plane Programmable Network Emulation Testbed with Dynamic Hardware Offloading (2026)

DOI OpenAlex
HPC Congestion Analysis via Programmable Data-Plane Network Emulation (2026)

DOI OpenAlex
Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development (2025)

DOI OpenAlex
Self-Healing PMU Networks Using Data Plane Programmable Switches (2025)

DOI OpenAlex
In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches (2025)

DOI OpenAlex
Introduction to the Special Issue on PADS 2023 (2025)

ACM Transactions on Modeling and Computer Simulation DOI OpenAlex
Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation (2025)

ACM Transactions on Modeling and Computer Simulation 3 citations DOI OpenAlex
Introduction to the Special Issue on PADS 2022 (2024)

ACM Transactions on Modeling and Computer Simulation DOI OpenAlex
A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches (2024)

3 citations DOI OpenAlex
Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids (2024)

2 citations DOI OpenAlex
Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation (2024)

DOI OpenAlex
Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments (2024)

2 citations DOI OpenAlex