Md. Mehedi Hasan

Md. Mehedi Hasan is a researcher at Daffodil International University's Department of Computer Science and Engineering. With over 17 years of research activity, his work spans multiple domains including Internet of Things (IoT), machine learning, biomedical informatics, and environmental technology. Current affiliations include collaborations with institutions in Bangladesh, Japan, and Malaysia.

• Research areas: Machine Learning, IoT Security, Medical Imaging, Aquaculture Monitoring
• Key technologies: Deep Learning, Time Sensitive Networking, Kerberos Authentication
• Notable contributions: NAND Flash memory analysis, Pediatric health applications, Urbanization impact studies

His 2025 publications focus on medical data preservation (Comput. Biol. Medicine), pedestrian risk assessment (Complexity), and toddler screen time management (SoftwareX). Recent work explores the intersection of environmental analysis with deep learning and cryptographic solutions for smart infrastructure.

Scientific contributions include:

• Radiation tolerance analysis of neuromorphic systems (IRPS 2020)
• Smart meter security protocols (Earth Sci. Informatics 2024)
• Acoustic breathing phase detection (Proc. ACM IMWUT 2021)