Publications

[11] A. Meepaganithage, M. Nicolescu, and M. Nicolescu, “Intent-State Transformer for Stable Vessel Intent Recognition in Autonomous Maritime Systems,” in Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), Shenyang, China, Aug. 2026 (Accepted). Link 

[10] M. A. Sayed, M. A. Hakim, A. Meepaganithage, M. Nicolescu, and M. Nicolescu, “Feature-Aware Deep Learning for Maritime Intent Recognition,” in Proceedings of the 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Los Angeles, CA, USA, Nov. 2025. Link 

[9] A. Meepaganithage, M. A. Sayed, M. Nicolescu, and M. Nicolescu, “Proactive Maritime Threat Prediction: Vessel Intent Classification with LSTMs and Transformers Using a Sliding Window Approach,” in Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), Los Angeles, CA, USA, Aug. 2025. Link 

[8] M. A. Hakim, M. A. Sayed, A. Meepaganithage, T. J. Becker, M. Nicolescu, and M. Nicolescu, “Early Classification of Intentions for Maritime Domains Using Deep Learning Models,” in Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), Los Angeles, CA, USA, Aug. 2025. Link 

[7] R. Manouchehri, A. Meepaganithage, S. Dascalu, M. Nicolescu, M. Nicolescu, and L. Yang, “Cryptocurrency Price Forecasting: Insights from Deep Learning and Volatility Analysis,” in Proceedings of the International Conference on Information Technology: New Generations (ITNG), Las Vegas, NV, USA, Apr. 2025. Link 

[6] A. Meepaganithage, M. Nicolescu, and M. Nicolescu, “Enhanced Maritime Safety through Deep Learning and Feature Selection,” in Proceedings of the International Symposium on Visual Computing (ISVC), Lake Tahoe, NV, USA, pp. 1–12, Oct. 2024. Link 

[5] A. Meepaganithage, R. Manouchehri, Y.-H. Chuang, M. Nicolescu, M. Nicolescu, S. Dascalu, and E. Hand, “Airfare Forecasting: A Deep Learning Approach to Flight Price Prediction,” in Proceedings of the International Conference on Digital Data Processing, New York, NY, USA, pp. 1–6, Sept.–Oct. 2024. Link 

[4] A. Meepaganithage, S. Rath, M. Nicolescu, M. Nicolescu, and S. Sengupta, “Image Forgery Detection Using Convolutional Neural Networks,” in Proceedings of the International Symposium on Digital Forensics and Security (ISDFS), San Antonio, TX, USA, pp. 1–6, Apr. 2024. Link   

[3] A. Meepaganithage, M. Nicolescu, and M. Nicolescu, “Hostile Vessel Behavior Prediction Using LSTMs,” in Proceedings of the International Conference on Machine Vision and Applications (MVA), Singapore, pp. 48–53, Mar. 2024.  Link 

[2] A. Meepaganithage, S. Rath, M. Nicolescu, M. Nicolescu, and S. Sengupta, “Feature Selection Using the Advanced Shapley Value,” in Proceedings of the IEEE Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 207–213, Jan. 2024. Link 

[1] A. Meepaganithage and M. G. N. A. S. Fernando, “Detecting COVID-19 Pneumonia Using Chest X-rays via Deep Learning,” in Proceedings of the 2nd International Conference on Advanced Research in Computing, Sabaragamuwa University, Sri Lanka, Feb. 2022. Link