PUBLICATIONS

2026

Farshid Javednejad, Hawaii International Conference on Systems Science


2025

Enguita, S.P.; Jiang, J.; Chen, C.-H.; Kovacic, S.; Lebel, R. Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection. Electronics 2025, 14, 3065. https://doi.org/10.3390/electronics14153065

Khallouli, W., Li, J., Huang, J., Rabadi, G., & Kovacic, S. F. (2025). An integrated machine learning approach for identifying emergency rescue messages on social media during natural disasters. Social Network Analysis and Mining, 15(1), 50.


2024

Pallas Enguita, S.; Chen, C.-H.; Kovacic, S. A Review of Emerging Sensor Technologies for Tank Inspection: A Focus on LiDAR and Hyperspectral Imaging and Their Automation and Deployment. Electronics 2024, 13, 4850. https://doi.org/10.3390/electronics13234850

Khallouli, W., Uddin, M. S., Sousa-Poza, A., Li, J., & Kovacic, S. F. (2024). Leveraging transformer-based OCR model with generative data augmentation for engineering document recognition. Electronics, 14(1), 5.

Uddin, M. S., Khallouli, W., Sousa-Poza, A., & Kovacic, S. F. (2024, September). A generative approach for document enhancement with small unpaired data. MDPI.

Ghavidel, A., Park, H. J., Kovacic, S. F., & Sousa-Poza, A. (2024). A new predictive maintenance approach: Novel integration of GMM-LSTM for prediction of latent state and failure location of rotating machinery. 19th Annual System of Systems Engineering Conference (SoSE), 50–56.

Javadnejad, F., Park, H. J., Kovacic, S. F., & Sousa-Poza, A. (2024). A novel BiGMM-HMM framework for predictive maintenance in naval vessel propulsion equipment. 19th Annual System of Systems Engineering Conference (SoSE), 116–123.

Saeidi, A., Tippannavar, S., & Kovacic, S. F. (2024). Transformation through technology: Assessing the feasibility of digital ecosystems using MBSE. 19th Annual System of Systems Engineering Conference (SoSE), 197–201.

Mohanty, J., Yalim, C., Kovacic, S. F., & Handley, H. H. (2024). A natural language processing-based approach to automate the maintenance work order prioritization process: Understanding sentiments in context-aware systems. 26th Annual Systems and Mission Engineering Conference, National Defense Industry Association. Zenodo:14767863.

Yalim, C., Mohanty, J., Kovacic, S. F., & Handley, H. H. (2024). Automated prioritization of maintenance work orders: A sentiment analysis approach using natural language processing. Fleet Maintenance & Modernization Symposium, American Society of Naval Engineering.


2023

Kovacic, S. F., Canan, M., Li, J., & Sousa-Poza, A. (2023, October). Digital engineering implications on decision-making processes. In Systems Engineering for the Digital Age: Practitioner Perspectives.


2022

Sadri, N., Desir, J., Khallouli, W., Uddin, M. S., Kovacic, S. F., Sousa-Poza, A., et al. (2022). Image enhancement for improved OCR and deck segmentation in shipbuilding document images. IEEE UEMCON.

Khallouli, W., Pamie-George, R., Kovacic, S. F., Sousa-Poza, A., Canan, M., & Li, J. (2022). Leveraging transfer learning and GAN models for OCR from engineering documents. IEEE World AI IoT Congress.

He, J., Uddin, M. S., Canan, M., Sousa-Poza, A., Kovacic, S. F., & Li, J. (2022). Ship deck segmentation using an attention-based generative adversarial network. IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Systems International Conference (UEMCON).

Canan, M., Demir, M., & Kovacic, S. F. (2022). A probabilistic perspective of human-machine interaction. 55th Hawaii International Conference on System Sciences.