Noman Ahmed (罗曼)

🧑‍🎓 Profile

  • PhD Candidate, School of Future Technology
    South China University of Technology (SCUT), China
  • Supervisor: Prof. Jin Zhanpeng
  • Email: nomanahmed0118@gmail.com
  • GitHub: @codinglover-Noman
  • Google Scholar: Link
  • Research Focus: AI in Smart Health, Human-Computer Interaction

🔬 Research Interests

I am broadly interested in the development of non-invasive, AI-driven systems for the early detection of Alzheimer’s disease. My research emphasizes task-free behavioral modeling, explainable deep learning, and multimodal signal fusion, with the ultimate goal of building accessible and scalable solutions for cognitive health and innovative healthcare applications.


📝 Updates

  • 2024-11-13: Finalist at IEEE BHI 2024 Data Competition, Houston, TX, USA
  • 2024-04: Published “Detecting video anomalies by jointly utilizing appearance and skeleton information” in Expert Systems with Applications
  • 2024-03: Published “EmotionPass: Unobtrusive Emotion-based User Authentication on Glasses” at IEEE Smart World Congress
  • 2024-08: Attended The 20th Joint Conference on Harmonious Human-Machine Environment
  • 2025: Published “Enhancing Alzheimer’s detection: VAE-augmented handwriting analysis” in CCF Transactions on Pervasive Computing and Interaction
  • 2025-05: Attended Chinese Congress on Image and Graphics (CCIG 2025)

📚 Publications

  1. Enhancing Alzheimer’s detection: VAE-augmented handwriting analysis
    N Ahmed, Y Hao, C Yu, Z Jin
    CCF Transactions on Pervasive Computing and Interaction, 2025
  2. Detecting video anomalies by jointly utilizing appearance and skeleton information
    W Pang, Q He, Y Li, N Ahmed
    Expert Systems with Applications, 246, 123135, 2024
  3. EmotionPass: Unobtrusive Emotion-based User Authentication on Glasses
    Y Hao, C Yu, N Ahmed, Y Jin, Z Jin
    IEEE Smart World Congress (SWC), 2024
  4. Zigbee and GSM Based Security System for Business Places
    AF Hussain, F Ajaz, N Ahmed, et al.
    International Conference on Advance Computing and Innovative Technologies, 2021

🏆 Competitions

  • IEEE BHI 2024 Data Competition — Finalist
    International Conference on Biomedical and Health Informatics, USA

🧪 Projects

  • Stroke Prediction System – ML-based stroke risk classifier using patient health records
  • Breast Cancer SVM Diagnostic – SVM pipeline for diagnosis classification
  • Transformer Sentiment Classifier – BERT-based sentiment analyzer
  • NLP for Restaurant Reviews – Restaurant review classification
  • Low-Resource NMT – Neural machine translation for low-resource languages

🎓 Education

  • PhD in Information & Communication Engineering (Ongoing)
    South China University of Technology, China
  • M.Sc. in Information & Communication Engineering
    South China University of Technology, 2021–2023

📫 Contact