Ankit Shah
Computer Science · Indiana University
Publications
51
Citations
897
Est. group size
—
Recurring co-author estimate
Active years
16
Publishing since 2011
Ankit Shah works in computer science with a focus on cybersecurity, developing machine learning and deep learning methods to detect network intrusions and manage cyber vulnerabilities. Much of the work builds automated frameworks—using techniques like reinforcement learning, graph-based neural networks, and federated learning—to spot attacks in real time and help security teams prioritize their responses. Related projects extend these AI methods to areas such as public health decision-making, vehicle automation, and defect or object detection in images.
Publication activity has been fairly steady over the last five years at about four papers per year, following a peak in 2018 and a rebound in 2023.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Developing a Road-Trip Simulator (RTSim) and a Fuel Consumption Prediction Model forInternal Combustion Engine Vehicles (ICEVs) with Automation
SSRN Electronic Journal · 2026
- GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection
IEEE Transactions on Information Forensics and Security · 2025
- Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation
ACM Transactions on Privacy and Security · 2025
- A multi-agent reinforcement learning framework for public health decision analysis
Healthcare Analytics · 2025
- Towards Attribution in Network Attacks: A Deep Learning-Based Robust Framework for Intrusion Detection and Adversarial Toolchain Identification
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2025
- A sequential deep learning framework for a robust and resilient network intrusion detection system
Computers & Security · 2024
- Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation
IEEE Transactions on Big Data · 2024
- FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System
Digital Threats Research and Practice · 2024
- A Machine Learning and Optimization Framework for Efficient Alert Management in a Cybersecurity Operations Center
Digital Threats Research and Practice · 2024
- Open-World Foreign Object Debris Detection Framework Empowered by Generative Adversarial Network and Computer Vision Models
Transportation Research Record Journal of the Transportation Research Board · 2024
- An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption
IEEE Transactions on Intelligent Vehicles · 2023
- Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework
Expert Systems with Applications · 2023
- Toward Optimal Defect Detection in Assembled Printed Circuit Boards Under Adverse Conditions
IEEE Access · 2023
- A Novel Team Formation Framework Based on Performance in a Cybersecurity Operations Center
IEEE Transactions on Services Computing · 2023
- Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS
2023
- arXiv (Cornell University)×5
- ACM Transactions on Intelligent Systems and Technology×3
- IEEE Transactions on Information Forensics and Security×3
- International Journal of Information Security×3
- SSRN Electronic Journal×3
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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