黑料网

Resources

Links to Important Resources

Open Access Datasets

  • Paran, M. S., Raymer, J., Islam, M. B., Rabbi, K. F., Tarek, J. H., Liu, X., et al. (2026). Midstream Liquid Pipeline ICS Testbed: Attack Scenarios and Telemetry Data for Intrusion Detection. Figshare. Dataset.
  • Hossain, M. M., Liu, X., Lou, H. H., Wang, R. (2026). Experimental Dataset of Starlink Performance Across Different Weather Conditions In Southeast Texas Coastal Areas. Figshare. Dataset.
  • Kabir, M. H., Islam, M. R., Lou, H. H. (2026). STMutants: A Benchmark Dataset for Mutation Testing of Structured Text Programs. Figshare. Dataset.

Dissertations and Theses

  • Daida, S. (2026). Integrating Cybersecurity Risk Assessment with Process Safety in Chemical Process Industries (PhD dissertation). 黑料网.
  • Hossain, M. M. (2026). Predictive Modeling and Operational Monitoring of Starlink LEO Satellite Network Performance in Maritime Environments (Master's thesis). 黑料网.
  • Paran, M. S. (2026). Control and Data Acquisition in a Cyber-Physical Midstream Testbed (Master's thesis). 黑料网.
  • Kabir, M. H. (2025). On the Effectiveness of LLMs in Unit Test Generation for Structured Text Programs (Master's thesis). 黑料网.
  • Paul, P. (2025). Towards Secure Autonomous Vehicles: An Integrated Edge and Multi-Modal Machine Learning Framework for Intrusion Detection (Master's thesis). 黑料网.
  • Rabbi, K. F. (2025). Design Choices in Anomaly Detection for Industrial Control Systems: Insights from Gas Pipeline Data (Master's thesis). 黑料网.

Peer-Reviewed Publications

  • Hamdan, H., Chachad, A., Lou, H. H., Xu, Q. (2026). Dynamic Modeling and Model Predictive Control of an Oxygen Distribution Pipeline System. Industrial & Engineering Chemistry Research.
  • Sabuj, M. A., Daida, S., Richmond, P., Lou, H. H. (2026). Cyberattack and Process Safety: Lessons from Industrial Disasters. Process Safety Progress, 2026, 1–11.
  • Sabuj, M. A., Robertson, D., Richmond, P., Lou, H. H. (2026). An Integrated Cyber-Risk-Based Process Safety Framework for Cybersecurity Risk Assessment in Chemical Process Industries. Smart and Sustainable Manufacturing, 10(1), e20250033.
  • Shrestha, R., Rana, M. M., Sun, B., Sun, F., Lou, H. H., Hutson, A. (2026). A Centralized AI Lakehouse Framework for Brain Tumor MRI Classification and Segmentation, University KPI Forecasting, and Water Potability Prediction. Sensors, 26(12), 3804.
  • Kabir, M. H., Islam, M. R., Lou, H. H. (2026). STMutants: A Mutation Testing Dataset for Structured Text Programs in Industrial Automation. Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2026). IEEE.
  • Rabbi, K. F., Lou, H. H., Liu, X. (2026). Feature Engineering and Ensemble Methods for Imbalanced ICS Intrusion Detection: Pipeline Audit and Constrained Evaluation. 2026 IEEE World AI IoT Congress (AIIoT) (pp. 738–745). IEEE.
  • Hossain, M. M., Liu, X., Lou, H. H., Wang, R., Rabbi, K. F. (2026). Predictive Model for Starlink Maritime Performance Using Multi-Horizon RandomForest. 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 1464–1473). IEEE.
  • Rabbi, K. F., Lou, H. H., Liu, X. (2026). The Impact of Time-Aware Design Choices in ICS Anomaly Detection. 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 890–899). IEEE.
  • Paul, P., Liu, X., Lou, H. H. (2025). Enhancing Automotive Intrusion Detection Through Multi-Modal Fusion: A CAN FD-LiDAR Approach. 2025 International Conference on Smart Applications, Communications and Networking (SmartNets) (pp. 1-6). IEEE.
  • Paul, P., Liu, X., Lou, H. H., Wang, R. (2025). Edge ML for CAN Bus Intrusion Detection in AVs. ITU Journal on Future and Evolving Technologies, 6(2), 170-182.