ºù«Ӱҵ

• Deep learning
• Network architecture search
• Computer vision
• Computational photogrammetry

• Member, Upsilon Pi Epsilon

Journal Publications:

1. Khan, A., Hadi, A.M., Tazarv, M. and Won, K., 2024. Deep Learning Based Methods for Detecting Delamination of Concrete Bridge Decks. Canadian Journal of Civil Engineering. (Under Review).
2. Hadi, A.M. and Won, K., 2024. Deep Convolutional Neural Network Compression based on the Intrinsic Dimension of the Training Data. ACM SIGAPP Applied Computing Review, 24(1), pp.14-23.
3. Saif, A.S., Khan, M.A.S., Hadi, A.M., Karmoker, R.P. and Gomes, J.J., 2021. Silhouette pose feature-based human action classification using capsule network. Journal of Information Technology Research (JITR), 14(2), pp.106-124.
4. Saif, A.S., Khan, M.A.S., Hadi, A.M., Karmoker, R.P. and Gomes, J.J., 2019. Aggressive action estimation: a comprehensive review on neural network based human segmentation and action recognition. International Journal of Education and Management Engineering, 9(1), p.9. DOI: 10.5815/ijeme.2019.01.02. 

Conference Publications and Presentations:

1. Jang, Y., Moshrefizadeh, M., Hadi, A.M and Won, K., 2024, April. Multimodal Fusion of Heterogeneous Representations for Unusual Image Classification in Satellite Imagery. In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing.
2. Hadi, A.M., Jang, Y. and Won, K., 2023, August. Deep Reinforcement Learning Agent for Dynamic Pruning of Convolutional Layers. In Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems (pp. 1-6).
3. Hadi, A.M., Won, K. and Shin, S., 2022, October. Task dependent model complexity: shallow vs deep network. In Proceedings of the Conference on Research in Adaptive and Convergent Systems (pp. 107-111).
4. Hadi, A.M., Won, K. and Shin, S., 2022, February. Study on Task-dependent Pruning of Deep Convolutional Neural Network. International Workshop on Frontiers of Computer Vision, Hiroshima, Japan.

Abstracts:

1. Khan, A., Hadi, A.M., Tazarv, M. and Won, K., 2024, August. Use of Thermal Images for Bridge Deck Inspection. 2024 World Bridge Engineering Conference, 2024.

Technical Reports:

1. Hadi, A., Khan, A., Won, K. and Tazarv, M., 2024, August. AI and Smart Phone Based Damage Detections for Concrete Bridge Decks. Prepared for National University Transportation Center (TriDurLE), Washington State University.