Bangladeshi researcher Md Masum Billah is advancing the application of artificial intelligence in healthcare and digital security, focusing on practical solutions to real-world challenges, he said in a press release.
Maesum earned a master’s degree in electrical and computer engineering from Lamar University, specializing in machine learning, deep learning, and applied data analysis. He is currently pursuing a second master’s degree in industrial engineering at the same institution, with a focus on secure digital health systems, the release added.
His published research includes “Heart Disease Prediction Using Support Vector Machines,” which applies machine learning to clinical data for early detection of cardiovascular risk. In oncology, his paper “Classification of Breast Cancer Using LightGBM and Support Vector Machines” evaluates ensemble and kernel-based models to improve diagnostic accuracy while ensuring interpretability. Another study, “Skin Cancer Classification Using NASNet,” uses deep learning and transfer learning to enhance early detection of melanoma from medical images. He also authored “Low Back Pain Prediction Applying Different Classification Algorithms Using WEKA,” which compares models that support data-driven assessment of spinal diseases.
In 2025, Masum presented three peer-reviewed papers at the IEEE 7th Symposium on Computers & Informatics, focusing on network intrusion detection, IoT security, and TinyML-based distributed systems.
He completed his undergraduate studies at Rajshahi University in 2019 and is continuing his postgraduate studies at Lamar University.
