Lauri Kettunen

Lauri Kettunen is a Professor and Vice Dean at the Faculty of Information Technology, University of Jyväskylä. His research spans quantum computing, medical imaging AI, and IT education innovations. He leads the Quantum Information and Computation Team, exploring quantum computational boundaries and practical applications. Recent work focuses on deep learning frameworks for medical image analysis, predictive learning analytics in computer science education, and quantum cellular automata gate design.

Research interests include:

• Quantum Computing: Developing scalable quantum logic gates and QCA systems
• Medical AI: Annotation-efficient deep learning for medical imaging challenges
• Education Technology: Addressing first-year IT student challenges and predictive learning analytics
• Industry Collaboration: Frameworks for successful academia-industry partnerships in engineering

Publications reflect interdisciplinary focus with 2024 highlights in European Journal of Engineering Education (education analytics), International Journal of Computer Assisted Radiology and Surgery (medical imaging), and IEEE Transactions on Instrumentation and Measurement (sleep analysis). Active in organizing events like CM3 Transport 2023 conference.