George Magoulas

Prof. George Magoulas is a Professor of Computer Science at the University of London's School of Computing and Mathematical Sciences and Director of the Birkbeck Knowledge Lab. He specializes in machine intelligence, machine learning algorithms, and AI system architectures, with applications in healthcare (e.g., neurodegenerative disease diagnosis) and educational technologies. His research has received awards from IEEE, ACM, and others. He holds a PhD in Nonlinear Optimization for Neural Networks and a PGCE in Higher Education.

Education:

• BEng/MEng (Integrated Master's in Systems & Control Engineering), University of Patras, Greece
• PhD in Nonlinear Optimization for Neural Networks Learning, University of Patras, Greece
• PGCE in Teaching and Learning (Higher Education)

Research & Leadership:

He leads the Birkbeck Knowledge Lab, focusing on AI's impact on learning and communication. His work includes designing learning algorithms for psychophysiological data modeling and developing the cloudUPDRS app for Parkinson's disease assessment. He has supervised over 12 PhD students and contributed to 200+ publications.

Awards & Recognition:

• Stanford’s “World’s top 2% of Scientists” (2024)
• Best Paper Awards at IEEE, ACM, and EUNITE
• Keynote speaker at major AI and e-learning conferences
• Honorary membership in the Hellenic Artificial Intelligence Society

Administrative Roles:

• Director of Teaching & Learning Quality (2016–2023)
• Chair of Postgraduate Programmes Exam Board (2010–2022)
• Editor-in-Chief, International Journal on Artificial Intelligence Tools

Teaching:

He teaches courses on Artificial Intelligence, Neural Networks, and Project Management at both undergraduate and postgraduate levels.

Labs & Collaborations:

He directs the Birkbeck Knowledge Lab and is a member of the Data Science and AI Research Group. His projects include analyzing violent cycles using AI and collaborating on EU-funded initiatives.