Hybrid Conferencee

International Conference on Genetic Data Engineering and Computational Biotechnology (ICGDECB - 26)

24th - 25th November 2026 | Brussels, Belgium

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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
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SDG-Inspired Conference Focus:
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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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 7
SDG 7 Affordable and Clean Energy
Track 01

Advancements in Genetic Data Engineering

This track focuses on the latest methodologies and technologies in genetic data engineering. It aims to explore innovative approaches for managing and analyzing genetic information in various biotechnological applications.

Track 02

Computational Techniques in Biotechnology

This session will delve into computational methods that enhance biotechnological processes. Emphasis will be placed on algorithms and software tools that facilitate genetic research and development.

Track 03

Predictive Modeling in Genomic Research

This track will examine the role of predictive modeling in genomic data analysis. Participants will discuss techniques that leverage statistical and machine learning models to forecast genetic outcomes.

Track 04

Supervised and Unsupervised Learning in Bioinformatics

This session will explore the application of supervised and unsupervised learning techniques in bioinformatics. The focus will be on how these learning paradigms can uncover insights from complex biological data.

Track 05

Deep Learning Applications in Biotechnology

This track will highlight the transformative impact of deep learning on biotechnology. Discussions will center around case studies and methodologies that utilize deep learning for genomic analysis and bioprocess optimization.

Track 06

Anomaly Detection in Genetic Data

This session will address the challenges and solutions related to anomaly detection in genetic datasets. Participants will share techniques for identifying outliers and ensuring data integrity in genomic studies.

Track 07

Feature Extraction and Selection in Genomic Analysis

This track will focus on the importance of feature extraction and selection in the context of genomic data. It will explore methods for enhancing model performance through effective feature engineering.

Track 08

Workflow Automation in Biotechnology Research

This session will discuss the implementation of workflow automation in biotechnology research. Participants will explore tools and frameworks that streamline data processing and analysis in genetic studies.

Track 09

System Monitoring and Model Evaluation in Biotech Applications

This track will cover the critical aspects of system monitoring and model evaluation in biotechnological applications. Emphasis will be placed on ensuring the reliability and accuracy of computational models.

Track 10

Industrial IoT and Its Impact on Biotechnology

This session will explore the integration of Industrial IoT technologies in biotechnology. Discussions will focus on how IoT can enhance data collection, monitoring, and analysis in biotechnological processes.

Track 11

Digital Twin Technologies in Bioprocessing

This track will examine the role of digital twin technologies in bioprocessing and biotechnology. Participants will discuss how digital twins can optimize resource allocation and predictive maintenance in biotechnological systems.