MSc Márk Domonkos
Eötvös Loránd University
Hungary
domonkos@inf.elte.hu

Dr János Botzheim
Eötvös Loránd Univesrity
Hungary
botzheim@inf.elte.hu

This special session aims to bridge the gap between theoretical bio-inspired computing models and their tangible deployment in complex, real-world environments. We seek to showcase how paradigms such as swarm intelligence, evolutionary algorithms, and neural systems are being successfully adapted to solve intractable problems in industry and society. The objective is to gather empirical research that addresses the specific challenges of implementation, including scalability, noise tolerance, and real-time processing. By highlighting successful case studies in fields ranging from logistics to healthcare, this session will evaluate the true robustness of nature-inspired methodologies. Ultimately, we hope to foster a dialogue between academic researchers and industry practitioners to define the future roadmap of applied bio-computation.

The scope of the session includes, but is not limited to, the following topics:

• Applications
• Evolutionary Computing
• Spiking Neural Networks
• Swarm Intelligence
• Bio-Inspired Computing
• Cognitive Robotics
• Intelligent Robotics