Hybrid Conferencee

International Conference on Fermentation Technology and Bioreactor Engineering (ICFTBE - 26)

18th - 19th August 2026 | Jinan, China

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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 Jinan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
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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 Jinan."
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 2
SDG 2 Zero Hunger
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Fermentation Technology

This track focuses on the latest innovations in fermentation processes, emphasizing new methodologies and technologies. Participants will explore how these advancements can enhance yield and efficiency in bioprocessing.

Track 02

Bioreactor Design and Optimization

This session will delve into the engineering principles behind bioreactor design, including scale-up and optimization techniques. Discussions will highlight case studies that demonstrate successful bioreactor implementations in industrial settings.

Track 03

Predictive Modeling in Bioprocessing

This track addresses the application of predictive modeling techniques in bioprocessing, focusing on supervised and unsupervised learning methods. Participants will learn how these models can improve decision-making and process efficiency.

Track 04

Deep Learning Applications in Biotechnology

This session will explore the integration of deep learning algorithms in biotechnology applications, particularly in fermentation and bioreactor processes. Attendees will discuss the potential of these technologies to revolutionize data analysis and process control.

Track 05

Anomaly Detection in Bioprocess Systems

This track will examine the importance of anomaly detection techniques in maintaining the integrity of bioprocess systems. Participants will share insights on methodologies that enhance system reliability and performance.

Track 06

Feature Extraction for Bioprocess Optimization

This session focuses on the critical role of feature extraction in optimizing bioprocesses. Attendees will discuss various techniques and their impact on improving process outcomes and efficiency.

Track 07

Workflow Automation in Biotechnology

This track will highlight the significance of workflow automation in biotechnology, showcasing tools and strategies that streamline bioprocess operations. Participants will explore case studies demonstrating successful automation implementations.

Track 08

System Monitoring and Model Evaluation

This session will cover the methodologies for effective system monitoring and the evaluation of predictive models in bioprocessing. Discussions will focus on best practices for ensuring model accuracy and reliability.

Track 09

Industrial IoT in Fermentation Processes

This track will investigate the role of Industrial Internet of Things (IoT) technologies in enhancing fermentation processes. Participants will discuss how IoT can facilitate real-time monitoring and control of bioprocess systems.

Track 10

Microbial Culture Optimization Techniques

This session will explore advanced techniques for optimizing microbial cultures in fermentation processes. Attendees will share research findings and practical applications that lead to improved microbial performance.

Track 11

Digital Twin Technologies in Bioprocessing

This track will focus on the emerging concept of digital twins in bioprocessing, examining how virtual models can enhance process control and optimization. Participants will discuss the implications of digital twins for future biotechnological advancements.