Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning. - Rajesh Ganesan; Sushil Jajodia; Ankit Shah 002; Hasan Cam (ACM Trans. Intell. Syst. Technol., 2016)

Detecting Stealthy Botnets in a Resource-Constrained Environment using Reinforcement Learning. - Sridhar Venkatesan; Massimiliano Albanese; Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia (MTD@CCS, 2017)

A Strategy for Effective Alert Analysis at a Cyber Security Operations Center. - Rajesh Ganesan; Ankit Shah 002 (From Database to Cyber Security, 2018)

A methodology to measure and monitor level of operational effectiveness of a CSOC. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (Int. J. Inf. Sec., 2018)

Adaptive reallocation of cybersecurity analysts to sensors for balancing risk between sensors. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (Serv. Oriented Comput. Appl., 2018)

VULCON: A System for Vulnerability Prioritization, Mitigation, and Management. - Katheryn A. Farris; Ankit Shah 002; George Cybenko; Rajesh Ganesan; Sushil Jajodia (ACM Trans. Priv. Secur., 2018)

Dynamic Optimization of the Level of Operational Effectiveness of a CSOC Under Adverse Conditions. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (ACM Trans. Intell. Syst. Technol., 2018)

A methodology for ensuring fair allocation of CSOC effort for alert investigation. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia (Int. J. Inf. Sec., 2019)

Optimal Assignment of Sensors to Analysts in a Cybersecurity Operations Center. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (IEEE Syst. J., 2019)

Understanding Tradeoffs Between Throughput, Quality, and Cost of Alert Analysis in a CSOC. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (IEEE Trans. Inf. Forensics Secur., 2019)

A Two-Step Approach to Optimal Selection of Alerts for Investigation in a CSOC. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (IEEE Trans. Inf. Forensics Secur., 2019)

Optimizing Alert Data Management Processes at a Cyber Security Operations Center. - Rajesh Ganesan; Ankit Shah 002; Sushil Jajodia; Hasan Cam (Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019)

Two Can Play That Game: An Adversarial Evaluation of a Cyber-Alert Inspection System. - Ankit Shah 002; Arunesh Sinha; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (ACM Trans. Intell. Syst. Technol., 2020)

Adaptive Alert Management for Balancing Optimal Performance among Distributed CSOCs using Reinforcement Learning. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Pierangela Samarati; Hasan Cam (IEEE Trans. Parallel Distributed Syst., 2020)

An Outsourcing Model for Alert Analysis in a Cybersecurity Operations Center. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (ACM Trans. Web, 2020)

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)

Maintaining the level of operational effectiveness of a CSOC under adverse conditions. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam (Int. J. Inf. Sec., 2022)

A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems. - Aigerim Bogyrbayeva; Sungwook Jang; Ankit Shah 002; Young Jae Jang; Changhyun Kwon 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS. - Soumyadeep Hore; Quoc H. Nguyen; Yulun Xu; Ankit Shah 002; Nathaniel D. Bastian; Trung Q. Le (DSC, 2023)

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 Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. Ending the HIV Epidemic Plan. - Dinesh Sharma; Ankit Shah 002; Chaitra Gopalappa (CoRR, 2023)

Towards optimal foreign object debris detection in an airport environment. - Mohammad Noroozi; Ankit Shah 002 (Expert Syst. Appl., 2023)

Towards Optimal Triage and Mitigation of Context-Sensitive Cyber Vulnerabilities. - Soumyadeep Hore; Fariha Moomtaheen; Ankit Shah 002; Xinming Ou (IEEE Trans. Dependable Secur. Comput., 2023)

A Novel Team Formation Framework Based on Performance in a Cybersecurity Operations Center. - Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia; Hasan Cam; Steve E. Hutchinson (IEEE Trans. Serv. Comput., 2023)

An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption. - Mohammad Noroozi; Hanieh Rastegar Moghaddam; Ankit Shah 002; Hadi Charkhgard; Sudeep Sarkar; Tapas K. Das; Timothy Pohland (IEEE Trans. Intell. Veh., 2023)

Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework. - Soumyadeep Hore; Ankit Shah 002; Nathaniel D. Bastian (Expert Syst. Appl., 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)

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security. - Emilia Rivas; Sabrina Saika; Ahtesham Bakht; Aritran Piplai; Nathaniel D. Bastian; Ankit Shah 002 (SECRYPT, 2025)

FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System. - Quoc H. Nguyen; Soumyadeep Hore; Ankit Shah 002; Trung Q. Le; Nathaniel D. Bastian (Digit. Threat. Res. Pract., 2025)

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)