International Conference on Molecular Engineering in Biomanufacturing Systems
(ICMEBS-26)

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

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Conference Session Tracks

The International Conference on Molecular Engineering in Biomanufacturing Systems (ICMEBS), scheduled to be held on 26th September 2026 in Hyderabad, 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 Molecular Engineering Techniques
    This track focuses on the latest methodologies in molecular engineering that enhance biomanufacturing processes. Participants will explore innovative approaches to molecular design and their implications for biotechnology applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Predictive Modeling in Biomanufacturing Systems
    This session emphasizes the role of predictive modeling in optimizing biomanufacturing workflows. Attendees will discuss various modeling techniques and their effectiveness in forecasting system performance. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 03 – Machine Learning Applications in Biotechnology
    This track delves into the application of supervised and unsupervised learning techniques in biotechnological contexts. Researchers will present case studies demonstrating the impact of machine learning on biomanufacturing efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Deep Learning for Anomaly Detection in Biomanufacturing
    This session highlights the use of deep learning algorithms for identifying anomalies in biomanufacturing systems. Participants will share insights on improving system reliability through advanced detection methods. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Feature Extraction Techniques for Biomolecular Data
    This track explores various feature extraction methods tailored for biomolecular datasets. Discussions will center on enhancing data quality and interpretability in biomanufacturing applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Workflow Automation in Biomanufacturing Systems
    This session addresses the integration of automation technologies in biomanufacturing workflows. Experts will discuss strategies for optimizing processes and reducing operational costs through automation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – System Monitoring and Model Evaluation
    This track focuses on the importance of real-time system monitoring and robust model evaluation in biomanufacturing. Participants will explore methodologies for ensuring system integrity and performance. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Industrial IoT in Biomanufacturing
    This session examines the transformative role of Industrial Internet of Things (IoT) in biomanufacturing systems. Attendees will discuss the implications of IoT for data collection, analysis, and process optimization. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Predictive Maintenance Strategies in Biotechnology
    This track investigates predictive maintenance approaches that enhance the reliability of biomanufacturing systems. Researchers will present methodologies for anticipating equipment failures and minimizing downtime. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Digital Twin Technology in Biomanufacturing
    This session explores the application of digital twin technology in simulating and optimizing biomanufacturing processes. Participants will discuss the benefits of virtual modeling for real-time decision-making. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Resource Allocation and Process Optimization
    This track focuses on strategies for effective resource allocation in biomanufacturing environments. Discussions will center on optimizing processes to maximize output while minimizing waste. 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 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]

Phone: +91 9677007228