Abdullah Al Noman
Doctoral Student | 1st Year
“A Study on AI-Assisted Non-Invasive Blood Platelet Count Measurement for Resource-Constrained Healthcare Systems”
Biography
Abdullah Al Noman is a researcher and engineer specializing in medical technology and digital healthcare solutions. He completed his Bachelor’s degree in Electrical and Electronics Engineering (EEE) from North South University, where he excelled academically and served as a Teaching Assistant and Lab Instructor, gaining experience in system design and troubleshooting. Currently, Abdullah is pursuing advanced studies at Kyushu University in Japan. His research focuses on developing an AI-Spectroscopy-Based Non-Invasive Device for Platelet Count Measurement, a cutting-edge solution aimed at revolutionizing diagnostic healthcare. His work explores the integration of spectroscopy and artificial intelligence to create affordable, non-invasive medical devices, with a particular focus on improving accessibility in resource-limited regions.
Research Summary
The accurate measurement of platelet levels is vital for diagnosing various diseases, including dengue fever. Traditional methods require invasive blood draws and laboratory analyses, which can be time-consuming, expensive, painful and inaccessible in low-resource settings. This research proposes a non-invasive approach using Near-Infrared (NIR) spectroscopy, combined with artificial intelligence (AI) models, to estimate platelet counts accurately. This interdisciplinary approach will bridge the gap between non-invasive diagnostics and practical medical applications, improving accessibility to platelet monitoring.
Legacy Archive Profile
Imported record from the previous Social Tech Lab website.
Abdullah Al Noman is a researcher and engineer specializing in medical technology and digital healthcare solutions. He completed his Bachelor’s degree in Electrical and Electronics Engineering (EEE) from North South University, where he excelled academically and served as a Teaching Assistant and Lab Instructor, gaining experience in system design and troubleshooting.
Currently, Abdullah is pursuing advanced studies at Kyushu University, in Japan. His research focuses on developing an AI-Spectroscopy-Based Non-Invasive Device for Platelet Count Measurement, a cutting-edge solution aimed at revolutionizing diagnostic healthcare. His work explores the integration of spectroscopy and artificial intelligence to create affordable, non-invasive medical devices, with a particular focus on improving accessibility in resource-limited regions.