LabCompass

Nagender Aneja

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2006

Publications

53

Citations

583

Est. group size

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

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.

Machine learning applications in health and agricultureNetwork security and traffic analysisAI robustness and adversarial defenseNatural language processing and conversational AIFederated learning and distributed systems

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

Publication cadence
Publications per year over the last 10 years — averaging 5.6/year recently
2017: 3 publications172018: 1 publication182019: 3 publications192020: 3 publications202021: 7 publications212022: 9 publications9222023: 8 publications232024: 7 publications242025: 3 publications252026: 1 publication26
Recent publications
Publishes in
  • 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
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  • Y. Charlie Hu

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  • T. P. Sharma

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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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