Registration summary
ConferenceICERNNE
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICERNNE conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Neurocybernetics and Health Applications +
This track focuses on the intersection of neurocybernetics and health, exploring innovative applications in medical diagnostics and treatment. Researchers are invited to present their findings on how neurocybernetic systems can enhance patient care and rehabilitation.
02 Advancements in Neuroevolutionary Algorithms +
This session will delve into the latest advancements in neuroevolutionary algorithms and their applications in solving complex problems. Contributions that demonstrate the efficacy of these algorithms in real-world scenarios are particularly encouraged.
03 Neuroscience-Inspired Robotics +
This track aims to explore the integration of neuroscience principles into robotic systems, focusing on how biological insights can inform robotic design and functionality. Papers that discuss the implications of neural mechanisms for robotic learning and adaptation are welcome.
04 Computational Intelligence in Neurology +
This session will highlight the role of computational intelligence techniques in advancing neurological research and treatment. Submissions that showcase novel applications of machine learning and artificial intelligence in neurology are encouraged.
05 Evolutionary Robotics: Design and Implementation +
This track invites contributions on the design and implementation of evolutionary robotics, emphasizing the methodologies and technologies that enable autonomous robotic systems. Papers that present case studies or experimental results are particularly sought after.
06 Artificial Neural Networks in Medical Diagnostics +
This session will focus on the application of artificial neural networks in the field of medical diagnostics, exploring their potential to improve accuracy and efficiency. Researchers are encouraged to share their findings on network architectures and training methodologies.
07 Robotic Learning and Adaptation Mechanisms +
This track will examine the mechanisms of robotic learning and adaptation, highlighting how robots can learn from their environments and experiences. Contributions that explore novel learning algorithms and their applications in dynamic settings are welcome.
08 Developmental Robotics and Human Interaction +
This session will explore the field of developmental robotics, focusing on how robots can develop skills through interaction with humans and their environments. Papers that investigate the implications of developmental approaches for social robotics are encouraged.
09 Artificial Life and Its Applications in Medicine +
This track will discuss the concept of artificial life and its potential applications in medical research and healthcare. Submissions that explore the implications of artificial life systems for understanding biological processes are particularly welcome.
10 Intelligent Machines and Neuroengineering +
This session will focus on the development of intelligent machines that incorporate principles of neuroengineering, emphasizing their potential to enhance human capabilities. Contributions that discuss the ethical implications and societal impacts of these technologies are encouraged.
11 Genetic Algorithms in Neural System Optimization +
This track will explore the use of genetic algorithms for optimizing neural systems, focusing on their applications in both theoretical and practical contexts. Researchers are invited to present innovative approaches that demonstrate the effectiveness of genetic algorithms in neural engineering.
