Faculty Profiles

Debnath, M., Chang, J., Bhandari, K., Nagy, D. J., Insperger, T., Milton, J., & Ngu, A. H. (2024). Pole balancing on the fingertip: Model-motivated machine learning forecasting of falls. Frontiers in Physiology, 15. https://doi.org/https://doi.org/10.3389/fphys.2024.1334396

Haque, S. T., Debnath, M., Yasmin, A., Mahmud, T. S. U., & Ngu, A. H. (2024). Experimental Study of LSTM and Transformer Models for Fall Detection on Smartwatches. Sensors (Switzerland), 24(19). https://doi.org/https://doi.org/10.3390/s24196235

Debnath, M., Kabir, M. S., Ni, J., & Ngu, A. H. (2024). The Impact of Synthetic Data on Fall Detection Application. In 22nd International Conference on Artificial Intelligence in Medicine (AIME 2024). United States: Springer. Retrieved from https://link.springer.com/book/10.1007/978-3-031-66538-7

Yasmin, A., Mahmud, T., Debnath, M., & Ngu, A. H. (2024). An Empirical Study on AI-Powered Edge Computing Architecture for Real-Time IoT Applications. In IEEE Computers, Software, and Applications Conference (COMPSAC 2024). United States: IEEE. Retrieved from https://conferences.computer.org/compsacpub24

Maray, N., Ngu, A. H., Ni, J., Debnath, M., & Wang, L. (2023). Transfer learning on small datasets for improved fall detection. Sensors, 23(3), 1105. https://doi.org/https://doi.org/10.3390/s23031105