Match tier Likely match
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-10-01

Kamal Poon

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

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2 h-index 4 pubs 9 cited

  • Deep Learning
  • Algorithms
  • Humans
  • Hypoglycemia
  • Infant, Premature
  • Monitoring, Physiologic
  • Paralysis
  • Wheelchairs
  • Blood Glucose
  • Female
  • Infant, Newborn
  • Photoplethysmography
  • Sitting Position

Biography and Research Information

OverviewAI-generated summary

Kamal Poon's research employs deep learning algorithms for health-related predictions and monitoring. His work includes the development of deep learning networks for detecting and predicting hypoglycemia in premature infants, utilizing dual smart sensor data. Additionally, he has investigated multi-sensor monitoring for paralyzed individuals, incorporating optimization algorithms and deep neural networks. Poon has also explored deep learning approaches for predicting epileptic seizures using the Cramer distance metric. His research has extended into educational technology, focusing on edge computing with deep learning and the Internet of Things to recognize and predict student emotions and mental health.

Metrics

  • h-index: 2
  • Publications: 4
  • Citations: 9

Selected Publications

  • Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection (2025)
    Scientific Reports 2 citations DOI OpenAlex
  • Multi sensor based monitoring of paralyzed using Emperor Penguin Optimizer and Deep Maxout Network (2025)
    Scientific Reports DOI OpenAlex
  • Edge Computing with Deep Learning and Internet of Things for Recognising and Predicting Students Emotions and Mental Health (2024)
    Journal of Machine and Computing 4 citations DOI OpenAlex
  • Cramer Distance: A Deep Learning Approach for Better Epileptic Seizure Prediction (2024)
    Journal of Machine and Computing 3 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

18 Collaborators 10 Institutions 5 Countries

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