Awarded the Royal Academy of Engineers’ Lord Sainsbury Award
Secures funding from the NHS (UK National Health Service), EU, and EPSRC for translational projects that bridge research and real-world applications
2024: Principal Investigator for the Northern Accelerator funded by the Department of Levelling Up and Communities’ UK for 'AI-powered Carbon Intensity Forecasting for Electric Vehicle Charging Optimisation'
Research Experience
Current Position: Lecturer, Goldsmiths, University of London
Educational Experience: Leads modules in AI, data science, and IoT, supervises PhD and MSc students, and champions initiatives to inspire future STEM leaders. Active member of the academic community, reviews for top journals, and shapes institutional policies to foster research excellence.
Education
PhD: 2019, Real-time Communication Systems, University of Greenwich in collaboration with the University of Cambridge
PgCert: 2022, Learning, Teaching & Assessment Practice in Higher Education, Edinburgh Napier University
MSc: 2014, Wireless Mobile Communication Systems Engineering, University of Greenwich
Background
Research Interests: Artificial Intelligence, Machine Learning, IoT, and real-time systems. Dedicated to solving global challenges in healthcare and renewable energy. Work includes AI-driven healthcare tools, renewable energy optimization, and ethical Large Language Model (LLM) applications.