Hybrid Conferencee

International Conference on Microfluidics and Bioinformatics in Lab-on-Chip Systems (ICMBLC - 26)

23rd - 24th December 2026 | Gondar, Ethiopia

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Gondar. Submit your research by today to participate in one of the top conferences."
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 Gondar conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Gondar, 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 Gondar."
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

Advancements in Microfluidic Device Design

This track focuses on innovative designs and fabrication techniques for microfluidic devices. Emphasis will be placed on the integration of bioinformatics tools to enhance device functionality and performance.

Track 02

Bioinformatics Approaches in Lab-on-Chip Systems

This session will explore the application of bioinformatics in the development and optimization of lab-on-chip systems. Topics may include data integration, analysis, and interpretation to improve system efficiency.

Track 03

Predictive Modeling in Microfluidics

This track will cover the latest methodologies in predictive modeling specific to microfluidic applications. Participants will discuss the role of machine learning techniques in forecasting system behavior and outcomes.

Track 04

Machine Learning Techniques for Bioinformatics

This session will delve into supervised and unsupervised learning techniques applied to bioinformatics data. Presentations will highlight case studies and novel algorithms that enhance data analysis in lab-on-chip systems.

Track 05

Anomaly Detection in Microfluidic Systems

This track will address the challenges and solutions related to anomaly detection in microfluidic systems. Discussions will focus on methodologies that ensure system reliability and accuracy in data collection.

Track 06

Feature Extraction Techniques for Sensor Data

This session will examine advanced feature extraction techniques for analyzing sensor data in lab-on-chip systems. The focus will be on improving data quality and enhancing the interpretability of results.

Track 07

Workflow Automation in Bioinformatics

This track will explore the automation of workflows in bioinformatics applications related to microfluidics. Participants will discuss tools and strategies that streamline processes and improve efficiency.

Track 08

System Monitoring and Evaluation in Lab-on-Chip Systems

This session will focus on methodologies for system monitoring and performance evaluation in lab-on-chip environments. Emphasis will be placed on real-time analytics and feedback mechanisms.

Track 09

Industrial IoT and Microfluidics Integration

This track will investigate the integration of Industrial IoT technologies with microfluidic systems. Discussions will center on enhancing data analytics capabilities and operational efficiency.

Track 10

Genomic and Proteomic Analysis in Microfluidics

This session will highlight the role of microfluidics in genomic and proteomic analysis. Presentations will focus on innovative applications and the impact of bioinformatics on biological research.

Track 11

Digital Twin Technologies in Lab-on-Chip Systems

This track will explore the concept of digital twins in the context of lab-on-chip systems. Discussions will focus on simulation modeling, resource allocation, and predictive maintenance strategies.