Flex Conference (Physical / Digital)

International Conference on Bioelectricity and Neural Signal Engineering (ICBNSE - 26)

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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.

SDG 3 SDG 3 — Good Health and Well-being
SDG 4 SDG 4 — Quality Education
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 11 SDG 11 — Sustainable Cities and Communities
Track 01

Advancements in Bioelectricity Applications

This track focuses on the latest innovations in the application of bioelectricity across various biomedical engineering fields. Researchers are invited to present their findings on how bioelectricity can enhance diagnostic and therapeutic techniques.

Track 02

Neural Signal Processing Techniques

This session explores cutting-edge methodologies for processing neural signals, including EEG and EMG data. Contributions that highlight novel algorithms and techniques for improved signal interpretation are encouraged.

Track 03

Predictive Modeling in Biomedical Engineering

This track emphasizes the role of predictive modeling in advancing biomedical engineering applications. Papers should address methodologies that enhance predictive accuracy and reliability in clinical settings.

Track 04

Machine Learning Approaches in Neural Engineering

This session invites discussions on the application of supervised and unsupervised learning techniques in neural engineering. Contributions that demonstrate the effectiveness of machine learning in analyzing neural data are particularly welcome.

Track 05

Deep Learning for Bioelectric Signal Analysis

This track focuses on the integration of deep learning techniques for the analysis of bioelectric signals. Researchers are encouraged to share their experiences and results in applying deep learning to enhance signal interpretation.

Track 06

Anomaly Detection in Biomedical Systems

This session addresses the challenges and solutions related to anomaly detection in biomedical systems. Papers that propose novel methods or frameworks for identifying and mitigating anomalies are sought.

Track 07

Feature Extraction Techniques for Neural Data

This track highlights innovative feature extraction techniques that improve the analysis of neural data. Contributions should demonstrate how these techniques enhance the understanding of bioelectric signals.

Track 08

Workflow Automation in Biomedical Engineering

This session explores the role of workflow automation in improving efficiency and accuracy in biomedical engineering processes. Papers should present case studies or frameworks that illustrate successful automation implementations.

Track 09

System Monitoring and Evaluation in Neural Interfaces

This track focuses on the monitoring and evaluation of systems used in neural interfaces. Researchers are invited to discuss methodologies that ensure the reliability and performance of these systems.

Track 10

Industrial IoT Applications in Bioengineering

This session examines the intersection of industrial IoT and bioengineering, exploring how IoT technologies can enhance biomedical applications. Contributions should focus on real-world implementations and their impacts.

Track 11

Digital Twin Technologies in Biomedical Engineering

This track investigates the application of digital twin technologies in the field of biomedical engineering. Papers should explore how digital twins can optimize processes and improve patient outcomes.

Important Dates

Early Bird Registration :10th August 2026

Paper Submission Deadline :15th August 2026

Last Date of Registration : 25th August 2026

Date of Conference : 9th - 10th September 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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