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

26th December 2026 || Lucknow - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Genetic Data Engineering and Computational Biotechnology (ICGDECB), scheduled to be held on 26th December 2026 in Lucknow, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Biotechnology.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 7 – Affordable and Clean Energy
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 16 – Peace, Justice and Strong Institutions
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 3 SDG 3
    Good Health and Well-being
  • SDG 4 SDG 4
    Quality Education
  • SDG 7 SDG 7
    Affordable and Clean Energy
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228