Adib Hossain

Predictive Analytics Researcher and Supply Chain Analytics professional with an M.S. in Business Analytics and a strong portfolio of peer-reviewed journal and conference publications in artificial intelligence, machine learning, cybersecurity, healthcare analytics, and intelligent supply chain systems. My work focuses on leveraging predictive AI and data science to address complex operational, economic, and infrastructure challenges. Currently serving as a Supply Chain Analyst in U.S. manufacturing, I design and deploy AI-driven demand forecasting, predictive maintenance, quality analytics, and supplier risk-scoring models across injection molding and assembly operations. My analytics solutions have improved forecast accuracy, reduced unplanned downtime, optimized inventory performance, strengthened supplier reliability, and enhanced enterprise-wide data-driven decision-making. My research addresses challenges of substantial national importance, including critical infrastructure resilience, healthcare system optimization, financial risk analytics, and sustainable supply chain systems. I am proficient in Python, SQL, and R, with strong expertise in machine learning, forecasting, and risk modeling. I hold the Certified Supply Chain Analyst (CSCA™) credential from ISCEA (Ohio, USA) and am an active member of IEEE and INFORMS. I am seeking a PhD in Information Technology to advance rigorous, interdisciplinary predictive analytics research with broad societal impact.