Basel Barakat
Scholar

Basel Barakat

Google Scholar ID: Nxk_QjgAAAAJ
Head of CS & AI at Goldsmiths, University of London
Time Series ForecastingMachine LearningInternet of ThingsWireless communications
Citations & Impact
All-time
Citations
281
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • 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.
Miscellany
  • Mission: Technology that transforms lives.