About
I'm a PhD candidate in Informatics at NJIT, studying privacy in machine learning. I study how representations carry information across distributed AI systems, how to quantify that leakage, and how to defend against it.
My current focus is embedding and hidden-state inversion attacks against split and hybrid inference. Before this, I spent four years applying machine learning to air traffic management.
Selected publications
- [2]Mohamed, M. A., Dang, H. P., Alam, S. (2023). A Supervised Learning Approach for 4D Air Traffic Conflict Prediction under Trajectory Uncertainty. ITSC, IEEE.
- [3]Dang, H. P., Mohamed, M. A., Alam, S. (2023). Image-Based Conflict Detection with Convolutional Neural Network under Weather Uncertainty. ICNS, IEEE.
- [4]Dang, H. P., Tran, P. N., Alam, S., Duong, V. N. (2021). A Machine Learning-Based Framework for Aircraft Maneuver Detection and Classification. ATM Seminar.
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