Nagender Aneja
Computer Science · Purdue University West Lafayette
Publications
53
Citations
583
Est. group size
—
Recurring co-author estimate
Active years
21
Publishing since 2006
Nagender Aneja works in computer science with a focus on applying machine learning and AI to a wide range of practical problems, including network security, federated learning, medical image analysis, natural language processing, and IoT systems. Their work spans both foundational topics like network fingerprinting and adversarial robustness, and applied domains such as breast cancer prediction, agriculture yield forecasting, and conversational AI. This breadth suggests a research style oriented toward applying AI/ML techniques across diverse real-world application areas rather than a single narrow specialty.
Publication output grew steadily from a few papers per year in the late 2010s to a peak around 2021-2023, followed by a slight decline through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- GENI: A Multi-module AI Assistant
Cognitive science and technology · 2026
- Certified Accuracy and Robustness: How different architectures stand up to adversarial attacks
Intelligent Systems with Applications · 2025
- STARFed: Link-Aware Defense Against Poisoning Attacks in Satellite–Terrestrial Federated Learning
IEEE Transactions on Network Science and Engineering · 2025
- Interpretable Question Answering with Knowledge Graphs
arXiv (Cornell University) · 2025
- Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer
Applied Artificial Intelligence · 2024
- Artificial Intelligence and Machine Learning for Sustainable Development
2024
- Differentially processed optimized collaborative rich text editor
Multimedia Tools and Applications · 2024
- Fingerprinting Browsers in Encrypted Communications
arXiv (Cornell University) · 2024
- Fingerprinting Browsers in Encrypted Communications
2024
- Deep Explainable Ensemble for Medical Image Analysis
2024
- SAGA-Integrating AI for Enhanced Recruitment: A System with Audio-Video Proctoring and Comprehensive Evaluation
2024
- Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning
IEEE Access · 2023
- Pronunciation Scoring With Goodness of Pronunciation and Dynamic Time Warping
IEEE Access · 2023
- Biogeography-based Optimization of Artificial Neural Network (BBO-ANN) for Solar Radiation Forecasting
Applied Artificial Intelligence · 2023
- Conversational chat system using attention mechanism for COVID-19 inquiries
International Journal of Intelligent Networks · 2023
- arXiv (Cornell University)×6
- IAES International Journal of Artificial Intelligence×3
- Wireless Personal Communications×3
- IEEE Access×2
- International Journal of Communication Networks and Distributed Systems×2
- Yufan Huang
Computer Science · Purdue University West Lafayette
- Jihun Hwang
Computer Science · Purdue University West Lafayette
- Arjan Durresi
Computer Science · Indiana University
- Y. Charlie Hu
Computer Science · Purdue University West Lafayette
- T. P. Sharma
Computer Science · Purdue University West Lafayette
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 20, 2026.
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