Publications

Truong, X. P., Jeon, H., Wang, Y., Hong, S. H. (2025). Monitoring Energy Consumption for Cyber Attack Detection in Additive Manufacturing Systems. International Journal of Advanced Manufacturing Technology, 1-17. 

Jin, C., Lee, I., Kim, M., Hong, S. H. (2025). Global Behavior Monitoring of Underwater Lines Using Generalized Coordinate Based Polynomial Equations and Sensor Fusion. Ocean System Engineering, 14(4), 405-420.

Jebari, O., Hong, S. H., Hunsucker, T., Kim, D. K., Jin, C. (2025). Wave-field Reconstruction Using Cameras on Floating Platform and Deep Stereo. Ocean Engineering, 327, 120958. 

Jin, C., Hong, S. H. (2024). Underwater Line Monitoring Using Optimally Placed Inclinometers. Journal of Marine Science and Engineering, 12(11), 1939.

Song, G., Hong, S. H., Kyzer, T., Wang, Y. (2024). U-TFF: A U-Net-based Anomaly Detection Framework for Robotic Manipulators Energy Consumption Auditing Using Fast Fourier Transform. Applied Sciences, 14(14) 6202.

Hong, S. H., Albia, B., Kyzer, T., Cornelius, J., Wang, Y., Mark, E., Hall, A. (2024). Artificial Neural Network-based Model Predictive Visual Servoing for Mobile Robots. Robotica, 1-23. 

Ou, J., Hong, S. H., Song, G., Wang, Y. (2023). Hybrid Path Planning based on Adaptive Visibility Graph Initialization and Edge Computing for Mobile Robots. Engineering Applications of Artificial Intelligence, 126.

Song, G., Hong, S. H., Kyzer, T., Wang, Y. (2023). Energy Consumption Auditing based on a Generative Adversarial Network for Anomaly Detection of Robotic Manipulators. Future Generation Computer Systems, 149.

Yang, H., Hong, S. H., Qian, Y., Wang, Y. (2023). Multi-fidelity Surrogate-based Optimization for Microfluidic Concentration Gradient Generator Design. Engineering Computations.  

Ou, J., Hong, S. H., Kyzer, T., Yang, H., Zhou, X., Wang, Y. (2023). A Low-cost Indoor Positioning System based on Data-driven Modeling for Robotics Research and Education. Robotica, 1-20.

Ogunniyi, E. A., Drnek, C., Hong, S. H., Downey, A., Wang, Y., Bakos, J. D., Avitabile, P., Dodson, J. (2023). Real-time Structural Model Updating Using Local Eigenvalue Modification Procedure for Applications in High-rate Dynamic Events. Mechanical Systems and Signal Processing, 195, 110318. 

Jiang, Z., Hong, S. H., Albia, B., Hood, A. A., Hall, A. J., Cornelius, J., Wang, Y. (2022). A Multi-sensor Feature Fusion Network Model for Bearings Grease Life Assessment in Accelerated Experiments. Neural Computing and Applications, 1-15.

Hong, S. H., Ou, J., Wang, Y. (2022). Physics-guided Neural Network and GPU-Accelerated Nonlinear Model Predictive Control for Quadcopter. Neural Computing and Applications, 1-12. 

 Yang, H., Hong, S. H., Wang, Y. (2022). Multi-Fidelity Reduced-order Model for GPU-Enabled Microfluidic Concentration Gradient Design. Engineering with Computers, 1-19.

 Yang, H., Hong, S. H., Wang, Y. (2022). A Sequential Multi-Fidelity Surrogate-based Optimization Methodology based on Expected Improvement Reduction. Structural and Multidisciplinary Optimization, 65(5), 1-17.

 Ou, J., Hong, S. H., Ziehl, P., Wang, Y. (2022). GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization. Journal of Intelligent and Robotic Systems, 104(34).

 Hong, S. H., Shu, J., Ou, J., Wang, Y. (2022). GPU-Enabled Microfluidic Design Automation for Concentration Gradient Generators. Engineering with Computers, 1-16.

 Hong, S. H., Shu, J., Wang, Y., Baysal, O. (2021). Automated Optimization of Double Heater Convective Polymerase Chain Reaction Devices based on CFD Simulation Database and Artificial Neural Network Model. Biomedical Microdevices, 23(2), 1-14.

 Hong, S. H., Cornelius, J., Wang, Y., Pant, K. (2021). Optimized Artificial Neural Network Model and Compensator in Model Predictive Control for Anomaly Mitigation. Journal of Dynamic Systems, Measurement and Control, 143(5).

 Shu, J., Hong, S. H., Wang, Y., Baysal, O. (2020). Surrogate- and Possibility-based Design Optimization for Convective Polymerase Chain Reaction Device. Microsystem Technologies, 1-16.

 Hong, S. H., Yang, H., Wang, Y. (2020). Inverse Design of Microfluidic Concentration Gradient Generator using Deep Learning and Physics-based Model. Microfluidics and Nanofluidics, 24(44).

 Yang, H., Hong, S. H., ZhG, R., Wang, Y. (2020). Surrogate-based Optimization with Adaptive Sampling for Microfluidic Concentration Gradient Generator Design. RSC Advances, 10(23), 13799-13814.

 Hong, S. H., Cornelius, J., Wang, Y., Pant, K. (2019). Fault Compensation by Online Updating of Genetic Algorithm-selected Neural Network Model for Model Predictive Control. SN Applied Sciences, 1(11), 1488.

 Hong, S. H., Conklin, J. W. (2019). Finding the suitable drag-free acceleration noise level for future low-low satellite-to-satellite tracking geodesy missions. Journal of Advances in Space Research, 63(1), 32-50.

Poindextor, J. S. , Hong, S. H. (2026). Intelligent Defect Detection and Identification for Additive Manufacturing Systems. IEEE Aerospace Conference 2026. (accepted)

Truong, X. P., Hong, S. H. (2026). Safe Rocket Landing Using Lyapunov-based Reinforcement Learning. AIAA SciTech 2026 Forum. (accepted)

Jebari, O., Hong, S. H., Hunsucker, T., Kim, D. K., & Jin, C. (2024, June). Wave-Field Reconstruction from Moored Floating Structure Using Deep Stereo. In ISOPE International Ocean and Polar Engineering Conference (pp. ISOPE-I). ISOPE.

Truong, X. P., Hong, S. H. (2024). Rough Terrain Path Planning for Autonomous Ground Robot. AIAA SciTech 2024 Forum.

Song, G., Hong, S. H., Kyzer, T., Wang, Y. (2023). An Energy Consumption Auditing Anomaly Detection System of Robotic Manipulators based on a Generative Adversarial Network. Annual Conference of the PHM Society 2023 (vol 15, no 1).

Ou, J., Hong, S. H., Wang, Y. (2023). Adaptive Visibility Graph Initialization on Edge Computing to Accelerate Hybrid Path Planning for Mobile Robots. IEEE SoutheastCon 2023 (pp. 411-417).

Yang, H., Hong, S. H., Wang, Y. (2022). A Novel Adaptive Sampling Method Based on Expected Improvement Reduction. IEEE SoutheastCon 2022 (pp. 514-521).

 Hong, S. H., Kyzer, T., Cornelius, J., Zahiri, F., Wang, Y. (2022). Intelligent Anomaly Detection of Robot Manipulator based on Energy Consumption Auditing. IEEE Aerospace Conference.

 Hong, S. H., Wang, Y., Yu, Y. (2022). Model Predictive Control of Quadcopter Using Physics-guided Neural Network. AIAA SciTech 2022 Forum.

 Hong, S. H., House, A., Kaminsky, A., Tison, N., Ruan, Y., Korivi, V., Wang, Y., Pant, K. (2021). Machine Learning-based Thermal and Flow Simulation on Heterogeneous Platform for Signature Prediction. In Proceedings of the GVSETS 2021.

 Cornelius, J., Brockner, B., Hong, S. H., Wang, Y., Pant, K., Ball, J. (2020). Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems. IEEE Prognostics and Health Management Proceedings 2020. (Best Industry Paper Award)

 Hong, S. H., Drnek, C., Downey, A., Wang, Y., Dodson, J. (2020, September). Real-Time Model Updating Algorithm for Structures Experiencing High-rate Dynamic Events. In ASME 2020 Conference on SMASIS 2020.

 Hong, S. H., Cornelius, J., Wang, Y., Pant, K. (2020). Online Machine Learning Model Compensator for Model Predictive Control and Anomaly Mitigation of Mechanical Systems. AIAA SciTech 2020 Forum (pp. 2251).