Registration summary
ConferenceICBNBM
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
ICBNBM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Bioinformatics for Neural Engineering +
This track focuses on the latest bioinformatics techniques applied to neural engineering. It aims to explore innovative methodologies for analyzing neural data and enhancing brain-machine interfaces.
02 Predictive Modeling in Brain Mapping +
This session will delve into predictive modeling approaches used in brain mapping studies. Participants will discuss the implications of these models for understanding neural connectivity and function.
03 Machine Learning Techniques for EEG Analytics +
This track emphasizes the application of supervised and unsupervised learning techniques in EEG data analysis. Researchers will present novel algorithms and their effectiveness in interpreting neural signals.
04 Deep Learning Applications in Neural Signal Processing +
This session highlights the transformative role of deep learning in processing neural signals. Contributions will include case studies and frameworks that enhance signal clarity and interpretation.
05 Anomaly Detection in Neural Data Streams +
This track addresses the challenges of detecting anomalies in real-time neural data. Participants will explore various methodologies and their applications in clinical and research settings.
06 Feature Extraction Techniques for Brain Mapping +
This session focuses on innovative feature extraction methodologies that enhance the analysis of brain mapping data. Discussions will include the impact of these techniques on model performance and accuracy.
07 Workflow Automation in Bioinformatics Research +
This track explores the integration of workflow automation in bioinformatics research related to neural engineering. Presentations will highlight tools and frameworks that streamline data processing and analysis.
08 System Monitoring and Evaluation in Neural Engineering +
This session will cover the importance of system monitoring and evaluation in neural engineering applications. Participants will discuss best practices and emerging technologies for effective oversight.
09 Industrial IoT Applications in Brain Mapping +
This track examines the intersection of industrial IoT and brain mapping technologies. Contributions will focus on the deployment of IoT solutions for enhanced data collection and analysis.
10 Cognitive Modeling and Its Implications +
This session will explore cognitive modeling approaches and their implications for understanding neural processes. Researchers will present findings that bridge cognitive science and bioinformatics.
11 Digital Twin Technologies in Neural Engineering +
This track investigates the application of digital twin technologies in neural engineering. Presentations will focus on how digital twins can enhance predictive maintenance and resource optimization in neural systems.
