Adversarial Deep Reinforcement Learning Enabled Threat Analytics Framework for Constrained Spatio-Temporal Movement Intelligence Data. - Jalal Ghadermazi; Soumyadeep Hore; Dinesh Sharma; Ankit Shah 002 (ISI, 2021)

Toward Optimal Defect Detection in Assembled Printed Circuit Boards Under Adverse Conditions. - Mohammad Noroozi; Jalal Ghadermazi; Ankit Shah 002; José L. Zayas-Castro (IEEE Access, 2023)

A sequential deep learning framework for a robust and resilient network intrusion detection system. - Soumyadeep Hore; Jalal Ghadermazi; Ankit Shah 002; Nathaniel D. Bastian (Comput. Secur., 2024)

A Machine Learning and Optimization Framework for Efficient Alert Management in a Cybersecurity Operations Center. - Jalal Ghadermazi; Ankit Shah 002; Sushil Jajodia (DTRAP, 2024)

GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection. - Jalal Ghadermazi; Soumyadeep Hore; Ankit Shah 002; Nathaniel D. Bastian (IEEE Trans. Inf. Forensics Secur., 2025)

Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation. - Jalal Ghadermazi; Ankit Shah 002; Nathaniel D. Bastian (IEEE Trans. Big Data, 2025)

Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation. - Soumyadeep Hore; Jalal Ghadermazi; Diwas Paudel; Ankit Shah 002; Tapas K. Das; Nathaniel D. Bastian (ACM Trans. Priv. Secur., 2025)