International Conference on Computational Metabolic Engineering and Biotechnology
(ICCMEAB-26)

26th September 2026 || Jaipur - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Computational Metabolic Engineering and Biotechnology (ICCMEAB), scheduled to be held on 26th September 2026 in Jaipur, 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 Computational Metabolic Engineering
    This track focuses on the latest methodologies and tools in computational metabolic engineering. Contributions will explore novel algorithms and frameworks that enhance metabolic pathway design and optimization. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Predictive Modeling in Biotechnology
    This session will delve into the application of predictive modeling techniques in biotechnological processes. Researchers are invited to present studies that demonstrate the effectiveness of these models in improving bioprocess outcomes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Machine Learning Applications in Metabolic Pathway Analysis
    This track highlights the integration of supervised and unsupervised learning techniques in metabolic pathway analysis. Papers should discuss innovative approaches that leverage machine learning to uncover insights from complex biological data. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Deep Learning for Biotechnology Innovations
    This session will explore the transformative role of deep learning in biotechnology applications. Participants are encouraged to share their findings on how deep learning models can enhance predictive accuracy and operational efficiency. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Anomaly Detection in Bioprocess Systems
    This track addresses the challenges of anomaly detection in bioprocess systems using advanced computational techniques. Contributions should focus on methodologies that improve system reliability and performance monitoring. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Feature Extraction Techniques in Metabolic Modeling
    This session will cover innovative feature extraction methods that enhance metabolic modeling accuracy. Researchers are invited to present their work on how these techniques can facilitate better model training and validation. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Workflow Automation in Biotechnology
    This track emphasizes the importance of workflow automation in biotechnological research and development. Papers should discuss tools and strategies that streamline processes and improve productivity in laboratory settings. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – System Monitoring and Evaluation in Bioprocessing
    This session will focus on the latest advancements in system monitoring and evaluation techniques for bioprocessing. Contributions should highlight methodologies that ensure optimal performance and compliance in biotechnological applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Industrial IoT and Its Impact on Biotechnology
    This track explores the integration of Industrial Internet of Things (IoT) technologies in biotechnology. Researchers are invited to discuss the implications of IoT for real-time monitoring and data-driven decision-making in bioprocessing. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Digital Twin Technology in Bioprocess Optimization
    This session will investigate the role of digital twin technology in optimizing bioprocesses. Papers should present case studies or methodologies that demonstrate the effectiveness of digital twins in enhancing operational efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Simulation and Analytics in Metabolic Engineering
    This track focuses on the application of simulation and analytics in metabolic engineering. Participants are encouraged to share their insights on how these tools can be utilized to predict outcomes and optimize biotechnological processes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
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 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 12 SDG 12
    Responsible Consumption and Production

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]

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