Hybrid Conferencee

International Conference on Biomedical Engineering Education and Training (ICBEET - 26)

7th - 8th September 2026 | San Diego, USA

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the San Diego conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in San Diego, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in San Diego."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Innovative Curriculum Design in Biomedical Engineering

This track focuses on the development and implementation of innovative curricula in biomedical engineering education. It aims to explore pedagogical strategies that enhance student engagement and learning outcomes.

Track 02

Advancements in Predictive Modeling Techniques

This session will delve into the latest advancements in predictive modeling techniques applicable to biomedical engineering. Participants will discuss methodologies such as supervised and unsupervised learning and their implications for healthcare applications.

Track 03

Deep Learning Applications in Biomedical Engineering

This track highlights the transformative role of deep learning in biomedical engineering. It will cover case studies and research that demonstrate the effectiveness of deep learning algorithms in solving complex biomedical problems.

Track 04

Anomaly Detection in Biomedical Systems

This session addresses the critical importance of anomaly detection in biomedical systems. Discussions will center on techniques for identifying irregularities in data and their potential impact on patient safety and system reliability.

Track 05

Feature Extraction Techniques for Biomedical Data

This track will explore various feature extraction techniques that enhance the analysis of biomedical data. Participants will examine how these techniques contribute to improved model performance and insights in biomedical research.

Track 06

Workflow Automation in Biomedical Engineering Education

This session focuses on the integration of workflow automation tools in biomedical engineering education. It aims to showcase how automation can streamline educational processes and enhance the learning experience.

Track 07

System Monitoring and Evaluation in Biomedical Applications

This track emphasizes the significance of system monitoring and evaluation in biomedical applications. Participants will discuss methodologies for assessing system performance and ensuring compliance with industry standards.

Track 08

Industrial IoT in Biomedical Engineering

This session will explore the role of Industrial Internet of Things (IoT) technologies in advancing biomedical engineering. Discussions will include the integration of IoT devices in healthcare settings and their impact on patient care.

Track 09

Predictive Maintenance Strategies in Biomedical Devices

This track will focus on predictive maintenance strategies for biomedical devices, emphasizing the importance of proactive approaches to equipment management. Participants will share insights on reducing downtime and improving device reliability.

Track 10

Digital Twin Technologies in Biomedical Engineering

This session will examine the application of digital twin technologies in biomedical engineering. Participants will discuss how digital twins can enhance simulation, modeling, and process optimization in healthcare.

Track 11

Competency Development in Biomedical Engineering Education

This track addresses the need for competency development in biomedical engineering education. It will explore frameworks and assessment methods that ensure graduates possess the necessary skills for the evolving healthcare landscape.