Shahid Awan

Shahid Awan is a Lecturer at the School of Computing, Engineering and Physical Sciences. He holds a Ph.D. in Computer Science, specializing in Machine Learning, with a focus on applying intelligent systems to United Nations Sustainable Development Goals (UNSDGs), particularly in circular economy, IoT-enabled smart agriculture, and health informatics. His work emphasizes innovation, as seen in projects like 'Cricket Video Scene Categorisation' (Rector’s Award for Innovation, 2018) and predictive models for electric demand and dengue fever spread.

Education: Ph.D. in Computer Science. Professional Development: Completed the 'Innovation Strategy Course' by KTN UK and 'Leadership and Management Training Modules' from Ashorne Hill Management College, UK.

Research Interests: Machine Learning applications, Deep Learning, IoT, and Data Science in healthcare, sustainability, and smart systems. His publications highlight contributions to blockchain security, medical imaging analysis, and education technology.

Notable Projects: Led projects on electric demand forecasting (collaborating with National Grid) and dengue fever prediction (health department). Founded the circular economy startup Circulayo, focusing on innovation strategy.

Scientific Awards: Rector’s Award for Innovation (2018).

Advising and Grants: Accepting PhD students and secured funding for startups like 'Electrical Demand Forecasting' through Silicon Valley pitches. Collaborates with industry partners like Crickingif and the National Grid.

Labs/Teams: Active in interdisciplinary teams addressing SDGs through tech solutions, though no specific lab names are provided.