Dr Umair Shahzad

I am a Lecturer in Computer Science and Engineering. I completed my PhD in Electrical Engineering from the University of Nebraska-Lincoln (USA) in 2021. I completed my MSc in Electrical Engineering and BSc in Electrical Engineering from the University of Nottingham (UK) and the University of Engineering and Technology, Lahore (Pakistan), respectively. I have a Postgraduate Certificate in Education (PGCE) from the University of Sunderland, UK.

My PhD research focused on risk-based machine learning approaches for power system probabilistic transient stability. The associated findings have been widely published and cited in numerous high-impact factor journals and top conferences.

Prior to commencing my role at the University in 2023, I had three years of teaching experience at different universities in Pakistan. During this period, I taught a wide range of modules including Electrical Network Analysis, Power Generation and Utilisation, Industrial Process Control, Electric Circuit Analysis, Control Systems, DC Machines, and Measurements and Instrumentation.

Across my research and teaching activities, I have developed a strong interest in the application of data-driven and machine-learning techniques to power system analysis, alongside a commitment to student-centred, outcomes-based teaching. My academic experience across the USA, UK, and Pakistan has shaped my approach to high-quality education, interdisciplinary research, and the development of graduates equipped to address the evolving challenges of modern power systems.