International Conference on Computational Genetics and Genetic Algorithms
(ICCGGA-26)

25th October 2026 || Chandigarh - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Computational Genetics and Genetic Algorithms (ICCGGA), scheduled to be held on 25th October 2026 in Chandigarh, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Genetics.

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 Computational Genetics
    This track focuses on the latest methodologies and technologies in computational genetics. Researchers are invited to present their findings on novel algorithms and computational frameworks that enhance genetic analysis. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Genetic Algorithms in Bioinformatics
    This session explores the application of genetic algorithms in solving complex bioinformatics problems. Contributions should highlight innovative uses of these algorithms in sequence alignment, gene prediction, and data mining. Aligned SDGs: SDG 7 – Affordable and Clean Energy
  • Track 03 – Population Genetics and Evolutionary Simulations
    This track invites discussions on population genetics models and their applications in evolutionary simulations. Papers should address theoretical advancements and empirical studies that enhance our understanding of genetic variation and evolution. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Modeling and Analysis of Genomic Data
    This session emphasizes the development of models for analyzing large-scale genomic data. Submissions should focus on statistical techniques and machine learning approaches that facilitate genomic insights. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Statistical Genetics and Genotype-Phenotype Mapping
    This track aims to explore the intersection of statistical genetics and genotype-phenotype relationships. Researchers are encouraged to present methodologies that improve the prediction of phenotypic traits from genetic data. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 06 – Algorithm Development and Optimization Techniques
    This session is dedicated to the development of novel algorithms and optimization techniques in genetics research. Contributions should demonstrate how these advancements can improve computational efficiency and accuracy. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Systems Biology and Genetic Network Modeling
    This track focuses on systems biology approaches to genetic network modeling. Papers should discuss how integrative models can elucidate the complex interactions within biological systems. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Functional Genomics and Variant Annotation
    This session invites research on functional genomics and the annotation of genetic variants. Presentations should highlight innovative strategies for understanding the functional impact of genetic variations. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 09 – Predictive Modeling in Genomics
    This track emphasizes the role of predictive modeling in genomics research. Submissions should showcase applications of machine learning and statistical methods in predicting genetic outcomes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Genetic Programming and Evolutionary Algorithms
    This session explores the use of genetic programming and evolutionary algorithms in solving genetic problems. Researchers are encouraged to present novel applications and theoretical advancements in this area. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 11 – Integrative Approaches in Computational Genomics
    This track focuses on integrative approaches that combine multiple data types and methodologies in computational genomics. Contributions should highlight how these approaches enhance our understanding of genetic phenomena. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
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 11 SDG 11
    Sustainable Cities and Communities

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