Vladimir Brusić

Li Dak Sum Chair Professor in Computing and Data science and Head of Smart Medicine Laboratory

Prof. dr Brusić joined University of Nottingham in 2018 as a Li Dak Sum Chair Professor of Computing and Data Science. He studied at University of Belgrade (Serbia), La Trobe University (Australia), Royal Melbourne Institute of Technology (Australia), and Rutgers University (USA). He is the head of Smart Medicine laboratory. He is engaged in innovation and commercialization. Professor Brusić's main project is development of Smart Health Home. His research expertise is interdisciplinary: bioinformatics, health informatics, mathematical modelling, predictive analytics, artificial intelligence, and machine learning. He has published more than 200 scientific and technology articles that have attracted more than 12,000 citations as of 2018. He has contributed to numerous international conferences and regularly serves as member of Program Committees. 

All Sessions by Vladimir Brusić

3:00 pm - 3:30 pm

Keynote: Smart Health Home

link to session

Speaker: Vladimir Brusić
Smart Health Home combines the Internet of Health Things (IoHT) and data communication technologies with health-related applications, to deliver healthcare services at home. SHH offers clear advantages for healthcare delivery: the available sensors are reliable, it enables for 24-hours health status monitoring, the IoHT devices are context-aware, and SHH can learn from acquired data through data analytics and machine learning methodologies. The barriers to adoption of SHH include the deficit of medically meaningful and interpretable reporting; limited accuracy, reliability, and trustworthiness of measurements; lack of compliance to recommended or mandated medical procedures, device standards, and software standards; concerns about data privacy, safety, security; and limited compliance with laws and ethical norms. These barriers can be overcome by innovative solutions developed through the adoption of standardized procedures, application of software engineering principles, and multi-layer information fusion. Multiple SHH connected through community data exchange center offers promise for deploying of recent technologies of Federated Learning, and Smart Contracts to enhance community health monitoring and rapid response to address individual health needs