Mohammad Hasibul Hasan is a Data Analyst and independent researcher affiliated with International American University, Los Angeles, CA, USA. He holds dual MBAs in Management Information Systems (IAU, 2024) and Business Administration (Anglia Ruskin University, 2015). His interdisciplinary research spans biomedical AI (deep learning for ECG-based cardiac arrhythmia detection, ICU sepsis prediction, and drug-gene interaction), cybersecurity and AML analytics for digital banking, and AI-enhanced Management Information Systems for strategic decision-making and Industry 4.0. He has published in IEEE, Springer, and MDPI venues, and received the Best Research Paper Award at IEEE TIC-2026, Kuala Lumpur. He is a Member of the IEEE Computer Society with an h-index of 5 and over 146 citations.
IEEE TIC-2026 Best Research Paper Award
IEEE (Institute of Electrical and Electronics Engineers)
Digital Twin-Based Optimization of Production Processes in Smart Factories" presented at the 3rd IEEE Technology & Innovation Conference (TIC-2026), held in Kuala Lumpur, Malaysia, June 5-6, 2026. Conference ID: #68483