Research Interest

On device Machine Learning
Personalized Fall Detection
Internet on Things
Edge Computing
Time Series Analysis
Data Analysis

Publications

2024
- A. Yasmin, T. Mahmud, M. Debnath and A. H. H. Ngu, "An Empirical Study on AI-Powered Edge Computing Architectures for Real-Time IoT Applications," 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), Osaka, Japan, 2024, pp. 1422-1431, doi: 10.1109/COMPSAC61105.2024.00187.
2023
- Anne H. Ngu, Awatif Yasmin, Tarek Mahmud, Adnan Mahmood, and Quan Z. Sheng. 2024. Demo: P-Fall: Personalization Pipeline for Fall Detection. In Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE '23). Association for Computing Machinery, New York, NY, USA, 173–174. https://doi.org/10.1145/3580252.3589412