معرفی
Aleksandar Novakovic is a Lecturer at Queen's University Belfast, affiliated with the School of Mathematics and Physics and the Mathematical Sciences Research Centre. His work focuses on applying computational methods to healthcare, energy systems, and industrial safety. He has contributed to projects like the Nudge-based intervention for mechanical ventilator wean (2019–present), blending real-time data analytics with clinical decision-making.
Research interests include machine learning applications in healthcare analytics, IoT-enabled systems for energy monitoring, and predictive modeling in veterinary epidemiology. His work often intersects interdisciplinary fields such as occupational safety, wildlife disease dynamics, and sustainable urban mobility.
Notable contributions include analyzing the impact of IoT devices on energy usage patterns and investigating bovine tuberculosis in Eurasian badgers using machine learning. He actively collaborates on projects addressing public health challenges, such as assessing the Belfast Bike Sharing Scheme's response to the pandemic.
- Key Projects: Nudge-based intervention for ventilator wean (NIHR-funded)
- Grants: Involved in multi-institutional grants focusing on healthcare informatics and IoT applications
His research emphasizes practical solutions: from optimizing clinical workflows using process mining to enhancing workplace safety through AI-driven surveillance systems. He is part of a team advancing real-time healthcare 4.0 systems and contributes to knowledge discovery in wildlife disease ecology.
