Hybrid Conferencee

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

23rd - 24th December 2026 | Ouro Preto, Brazil

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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 Ouro Preto conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Ouro Preto, 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 Ouro Preto."
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 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.