Hybrid Conferencee

International Conference on Genetic Engineering and Biotechnological Systems (ICGEBS - 26)

26th - 27th December 2026 | Annaba, Algeria

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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 Annaba conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Annaba, 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 Annaba."
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 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Genetic Engineering Techniques

This track focuses on the latest methodologies in genetic engineering, including CRISPR and gene editing technologies. Participants will explore innovative applications and the implications of these advancements in biotechnology.

Track 02

Biotechnological Systems in Industrial Applications

This session will delve into the integration of biotechnological systems within industrial settings, emphasizing workflow automation and system monitoring. Discussions will highlight case studies that showcase successful implementations and their impact on productivity.

Track 03

Predictive Modeling in Biotechnology

This track will cover the application of predictive modeling techniques in biotechnological research and development. Participants will examine various modeling approaches, including supervised and unsupervised learning, and their effectiveness in predicting biological outcomes.

Track 04

Deep Learning Applications in Genetic Research

This session will explore the role of deep learning in advancing genetic research, particularly in data analysis and interpretation. Attendees will discuss novel algorithms and their applications in gene expression analysis and molecular modeling.

Track 05

Anomaly Detection in Biotechnological Processes

This track focuses on the importance of anomaly detection in maintaining the integrity of biotechnological systems. Participants will discuss various techniques and tools for identifying deviations in biological data and their implications for system reliability.

Track 06

Feature Extraction Techniques in Genomic Data

This session will address the critical role of feature extraction in genomic data analysis. Experts will present methodologies for enhancing data quality and relevance in the context of genetic engineering.

Track 07

Resource Allocation in Biotechnological Projects

This track will examine strategies for effective resource allocation in biotechnological research and development. Participants will discuss optimization techniques that enhance project efficiency and outcomes.

Track 08

Digital Twin Technology in Biotechnology

This session will explore the application of digital twin technology in the biotechnology sector. Attendees will learn about the creation of virtual models that simulate biological processes for enhanced monitoring and optimization.

Track 09

Molecular Modeling and Pathway Analysis

This track will focus on the methodologies used in molecular modeling and pathway analysis in the context of genetic engineering. Participants will discuss the significance of these techniques in understanding complex biological systems.

Track 10

System Optimization in Biotechnological Engineering

This session will delve into various approaches for optimizing biotechnological systems, focusing on efficiency and effectiveness. Attendees will explore case studies that illustrate successful optimization strategies.

Track 11

Predictive Maintenance in Biotechnological Systems

This track will cover the role of predictive maintenance in ensuring the reliability of biotechnological systems. Participants will discuss techniques for anticipating failures and optimizing maintenance schedules to enhance operational efficiency.