

Proactive and goal-oriented professional with excellent time management and problem-solving skills. Known for reliability and adaptability, with swift capacity to learn and apply new skills. Committed to leveraging these qualities to drive team success and contribute to organizational growth.
Courses Taught:
Object Oriented Programming (Java)
Data Structure and Algorithms
Problem Solving Techniques
Courses taught:
Research paper's reviewer in the following international conference/journals
Advisor
Courses taught:
Journal Articles
1. Karim, R. U., Mahdi, S., Samin, A., Zereen, A. N., Abdullah-Al-Wadud, M., & Uddin, J. (2025). Optimizing Stroke Recognition with MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis. IEEE Access.
2. Datta, J., Rabbi, R., Saha, P., Zereen, A. N., Abdullah-Al-Wadud, M., & Uddin, J. (2025). Deep representation learning using layer-wise VICReg losses: J. Datta et al. Scientific Reports, 15(1), 27049.
3. Zereen, A. N., & Das, A. (2024). Machine Fault Diagnosis Using Audio Sensors Data and Explainable AI Techniques-LIME and SHAP. Computers, Materials & Continua.
4. Zereen, A. N., Gurung, A., Rajak, A., Moonrinta, J., Dailey, M. N., Ekpanyapong, M., ... & Bovonsunthonchai, S. (2023). Video analytic system for activity profiling, fall detection, and unstable motion detection. Multimedia Tools and Applications, 82(27), 42395-42415.
5. Zereen, A. N., Gurung, A., Rajak, A., Moonrinta, J., Dailey, M. N., Ekpanyapong, M., ... & Bovonsunthonchai, S. (2021). Automatic elderly fall and unstable movement detection system using framewise and LSTM based video analytics on an embedded device. Journal of Digital Communications, 5(5), 117-134.
Conference Proceedings
1. Datta, J., Sarwar, F. A., Rabbi, R., Saha, P., Alam, M. G. R., Uddin, J., and Zereen, A. N. (2025). Parameter-Efficient Image Classification with Convolutional Spiking Neural Network via Fast Sigmoid Surrogate Gradient Descent. 2025 International Conference on Electrical, Computer and Communication.
2. Ferdous, T., Karim, R. U., Samin, A., Mahdi, S., Tasnim, H., and Zereen, A. N. (2024). Machine Learning Approaches in Photoplethysmography-Based Sleep Stage Classification. 2024 IEEE 2nd International Conference on Electrical, Automation and.
3. Ferdous, T., Karim, R. U., Samin, A., Mahdi, S., and Zereen, A. N. (2024). Improved Photoplethysmography-Based Four-Stage Sleep Classification with Explainable AI-Driven Machine Learning. 2024 IEEE 2nd International Conference on Electrical, Automation and.
4. Rabbi, R., Datta, J., Ahmed, S., and Zereen, A. N. (2024). Wildfire Prediction using Convolutional Kolmogorov-Arnold Network. In 2024 13th International Conference on Electrical and Computer Engineering.
5. Alif, S. S., Promise, N. A., and Zereen, A. N. (2024). A Two-Stage Framework for Dynamic Two-Hand On-Screen Keyboard-Mouse Interaction. In Proceedings of the 2024 4th International Conference on Human-Machine.
6. Zereen, A. N., Corraya, S., Dailey, M. N., and Ekpanyapong, M. (2020). Two-stage facial mask detection model for indoor environments. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering.
7. Zereen, A. N., and Corraya, S. (2016). Detecting real time object along with the moving direction for visually impaired people. In 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE).
Matthew N., Dailey, Professor,
Computer Science and Information Management,
Asian Institute of Technology, Thailand,
mdailey@ait.ac.th, +6625245712
Mongkol, Ekpanyapong, Associate Professor,
Microelectronics and Embedded Systems,
Asian Institute of Technology, Thailand,
mongkol@ait.ac.th, +6625245689,
Roongtiwa, Vachalathiti, PhD,
Faculty of Physical Therapy,
Mahidol University, Thailand,
roongtiwa.vac@mahidol.edu, +66851515198,
Sunee, Bovonsunthonchai, PhD,
Faculty of Physical Therapy,
Mahidol University, Thailand,
sunee.bov@mahidol.ac.th