Saleh Masum received a Bachelor’s degree from the University of Rajshahi, Bangladesh. His work spans AI-enabled mobile systems, secure iOS applications, and data-driven software architectures, combining over a decade of industry experience with active research in machine learning and applied AI across healthcare, smart cities, and cybersecurity. His current research focuses on agentic AI, machine learning, and software engineering for AI (SE4AI), with an emphasis on designing autonomous, modular, and explainable AI systems for complex real-world domains.

This PhD research investigates how agentic AI can transform fragmented digital health data into actionable, personalised, and explainable wellness intelligence. The project proposes a modular orchestration framework that autonomously integrates data from wearables, home sensors, and mobile health applications to support proactive and continuous wellness management. By leveraging autonomous coordination, contextual reasoning, and explainable decision-making, the research aims to enable ethically aligned, human-centred health intelligence that supports lifelong self-management, reduces chronic illness, and improves healthcare efficiency.