Muhammed Cavus

Muhammed Cavus is a Research Fellow at Northumbria University's Department of Electrical and Electronic Engineering, focusing on renewable energy systems, smart grid technologies, and AI applications in energy management. His work bridges electrical engineering with advanced machine learning techniques.

• PhD in Electrical and Electronic Engineering (2024)
• MSc in Electrical and Electronic Engineering (2019)
• BEng (Hons) in Mechanical Engineering (2014)
• Fellow of the Higher Education Academy (FHEA, 2025)

His research spans electric vehicle charging optimization, microgrid energy management, and bias-resilient AI frameworks. Recent publications highlight hybrid deep learning models for smart grid demand prediction and spatio-temporal attention mechanisms for energy forecasting.

Key collaborative projects include partnerships with researchers like Dissanayake, Bell, and Ayan. His work addresses modern energy challenges through interdisciplinary approaches combining electrical engineering with data science.