LabCompass

Md Habibur Rahman

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2020Rising activity
Advanced Wireless Communication TechnologiesWireless Signal Modulation ClassificationOptical Wireless Communication TechnologiesIndoor and Outdoor Localization TechnologiesNetwork Security and Intrusion Detection

Publications

73

Citations

689

Est. group size

—

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Md Habibur Rahman works on applying artificial intelligence and deep learning to wireless communication systems, network security, and healthcare-related problems. His work spans signal processing tasks like channel estimation and modulation classification, cybersecurity applications such as intrusion and malware detection, and broader uses of AI in healthcare, agriculture, and materials science. This breadth suggests a focus on adapting machine learning techniques across multiple engineering and applied domains rather than a single narrow specialty.

AI and deep learning for wireless communicationsNetwork intrusion and malware detectionChannel estimation and modulation classification in MIMO/OFDM systemsAI applications in healthcare and personalized medicineInterdisciplinary AI applications (agriculture, materials, drug discovery)

Publication output grew sharply from 2020 to a peak in 2024, with continued high activity in 2025-2026, indicating a strongly increasing and currently active publication pace.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 13.2/year recently
1718192020: 4 publications202021: 3 publications212022: 5 publications222023: 11 publications232024: 25 publications25242025: 17 publications252026: 8 publications26
Recent publications
Publishes in
  • Mathematics×8
  • Sensors×7
  • SSRN Electronic Journal×7
  • IEEE Access×5
  • Applied Sciences×2
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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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