Csorba Kristóf

Kristóf Csorba is an Associate Professor at the Department of Automation and Applied Informatics, Budapest University of Technology and Economics. His work bridges pattern recognition, machine learning, and image processing with applications in pharmaceutical process monitoring, swarm robotics, and embedded systems. He leads the Applied Mobile Research Group (AMORG) and develops smartphone-based sensor networks for tasks like object tracking and 3D mapping.

• Current research focuses on smart camera networks using Android smartphones
• Expertise in deep learning, 3D reconstruction, and real-time feedback control for industrial processes
• Collaborates on medical imaging (e.g., cardiac MRI analysis) and material science projects (e.g., void detection in solder joints)

His publications highlight viscosity estimation via CNNs, Raman/NIR spectroscopy for dissolution prediction, and energy-efficient mobile computation. Co-author on 50+ works with over 13,962 reads and 395 citations. Key collaborators include Gábor Knyihár, Mohamed Azouz Mrad, and Hassan Charaf.