Nalinda Somasiri

Dr. Nalinda Somasiri is an Associate Professor and Associate Dean for Data Science & Computer Science at York Business School, York St John University (London Campus). With over 20 years of industry experience, he previously served as a Solution Architect at Motorola Solutions (2006–2019), delivering AI/ML solutions for public safety domains. His academic background includes a PhD in Electronic Engineering (Queen Mary University of London), MSc in Radio & Communication Engineering (King’s College London), and B.Eng. in Electrical, Electronics, and Information Engineering (City University of London).

His research focuses on blockchain, generative AI, and machine learning, with over 30 journal/conference publications. Collaborations include AWS, Motorola, and IBM in generative AI/ML projects. Key interests span IoT-based automation (e.g., sand truck management during the pandemic), healthcare AI (e.g., thyroid disease detection, telemedicine), and metaverse applications in education. He advises on digital health interventions in low-resource settings and leads initiatives in data science education and innovation.

Notable contributions include hybrid CNN-K-means models for medical diagnostics, SARIMAX-based tractor sales forecasting, and blockchain-driven metaverse frameworks. His work bridges academia and industry, emphasizing ethical AI integration and practical applications in diverse sectors.