LabCompass

Md Adnan Faisal Hossain

Computer Science · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

12

Citations

105

Est. group size

~2

Recurring co-author estimate

Active years

6

Publishing since 2020

Research summary
AI-generated

Md Adnan Faisal Hossain works in computer science, focusing on applying machine learning and deep learning methods to medical image analysis, such as detecting skin cancer and COVID-19 from medical scans like X-rays and dermoscopic images. His work also touches on image compression and hardware-based systems like traffic light control using programmable circuits (FPGA). This research combines artificial intelligence techniques with practical applications in healthcare diagnostics and embedded systems.

AI for medical image diagnosis (cancer, COVID-19)Deep learning and transfer learning methodsImage processing and compressionEmbedded hardware systems (FPGA)Automated disease detection from imaging

Publication output was minimal before 2020 but has grown noticeably since, with a marked increase in output during 2024 and 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
1718192020: 1 publication202021: 2 publications212022: 1 publication222023: 1 publication232024: 4 publications4242025: 3 publications2526
Publishes in
  • arXiv (Cornell University)×2
  • Computers in Biology and Medicine×1
  • Journal of Applied Biomedicine×1
  • Research Square×1
  • EURASIP Journal on Image and Video Processing×1
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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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