Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-09
D
Dong Jin
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Federal Grant PI
High Impact
Associate Professor
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
Biography and Research Information
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
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Associate Professor 2023–presentUniversity of Arkansas Department of Electrical Engineering and Computer Science ORCID
Selected Publications
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Guest editorial: Special issue on AI for cyber-physical energy systems (2026)
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Programmable Data Plane Approaches for ML-Based Anomalous Event Classification in Grid Sensor Networks (2026)
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I-DETECT: In-network Deep Packet Inspection for Timed Event Correlation in Industrial Control Systems (2026)
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Data-Plane Programmable Network Emulation Testbed with Dynamic Hardware Offloading (2026)
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HPC Congestion Analysis via Programmable Data-Plane Network Emulation (2026)
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Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development (2025)
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Self-Healing PMU Networks Using Data Plane Programmable Switches (2025)
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In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches (2025)
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Introduction to the Special Issue on PADS 2023 (2025)
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Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation (2025)
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Introduction to the Special Issue on PADS 2022 (2024)
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A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches (2024)
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Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids (2024)
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Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation (2024)
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Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments (2024)
Federal Grants 5 $355,000 total
NSF
PI
Nov 2022 - Oct 2023
NSF
PI
Sep 2024 - Aug 2025
NSF
PI
Jun 2023 - May 2027
NSF
PI
May 2025 - Apr 2026
NSF
PI
Apr 2024 - Mar 2025
Collaboration Network
Top Collaborators
Yanfeng Qu
University of Arkansas at Fayetteville
12 shared publications
In database
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- Cyber-Physical Simulation Testbed for MadIoT Attack Detection and Mitigation
- VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications
- Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation
Showing 5 of 12 shared publications
Zheng Hu
University of Arkansas at Fayetteville
10 shared publications
In database
- Enhancing Fidelity of P4-Based Network Emulation with a Lightweight Virtual Time System
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Integrating I/O Time to Virtual Time System for High Fidelity Container-based Network Emulation
- VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications
- Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation
Showing 5 of 10 shared publications
Hui Lin
University of Rhode Island (US)
5 shared publications
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids
- HELICSAUTO: AUTOMATING THE DEVELOPMENT OF CYBER-PHYSICAL CO-SIMULATION FRAMEWORK FOR SMART GRIDS
- I-DETECT: In-network Deep Packet Inspection for Timed Event Correlation in Industrial Control Systems
Luke Waind
University of Arkansas at Fayetteville
5 shared publications
In database
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments
- Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation
- HPC Congestion Analysis via Programmable Data-Plane Network Emulation
- Data-Plane Programmable Network Emulation Testbed with Dynamic Hardware Offloading
Gong Chen
Illinois Institute of Technology (US)
4 shared publications
- Enhancing Fidelity of P4-Based Network Emulation with a Lightweight Virtual Time System
- Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation
- Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments
- Combining Power Simulation and Programmable Network Emulation for Smart Grid Security Application Evaluation
Christopher Hannon
Illinois Institute of Technology (US)
2 shared publications
- Real-time Anomaly Detection and Classification in Streaming PMU Data
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
Xiaoliang Wu
Illinois Institute of Technology (US)
2 shared publications
- SeQUeNCe: a customizable discrete-event simulator of quantum networks
- Replicated Computational Results (RCR) Report for “A New Test for Hamming-Weight Dependencies”
Alexander Aved
United States Air Force Research Laboratory (US)
2 shared publications
- Towards Optimal and Executable Distribution Grid Restoration Planning With a Fine-Grained Power-Communication Interdependency Model
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
Gong Chen
Illinois Institute of Technology (US)
2 shared publications
- Integrating I/O Time to Virtual Time System for High Fidelity Container-based Network Emulation
- Cyber-Physical Simulation Testbed for MadIoT Attack Detection and Mitigation
Reuben Samson Raj
University of Arkansas at Fayetteville
2 shared publications
In database
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- A Framework to Evaluate PMU Networks for Resiliency Under Network Failure Conditions
Gong Chen
Illinois Institute of Technology (US)
2 shared publications
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
Eva Casto
University of Arkansas at Fayetteville
2 shared publications
In database
- In-Network Logging and Missing Data Recovery In PMU Networks via Programmable Data Plane Devices
- In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches
Christopher D. Carothers
Rensselaer Polytechnic Institute (US)
2 shared publications
- Introduction to the Special Issue on PADS 2022
- Introduction to the Special Issue on PADS 2023
Deepjyoti Deka
Los Alamos National Laboratory (US)
1 shared publication
- Real-time Anomaly Detection and Classification in Streaming PMU Data
Marc Vuffray
Los Alamos National Laboratory (US)
1 shared publication
- Real-time Anomaly Detection and Classification in Streaming PMU Data
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