Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
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.
Why it matters
SDG 3 — Good Health and Well-being
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
Explore
All Session Tracks
Track 01
Advancements in Cell Culture Engineering
This track focuses on the latest methodologies and technologies in cell culture engineering. Participants will explore innovations that enhance cell viability, productivity, and scalability.
Track 02
Bioprocess Scale-Up Strategies
This session will delve into the challenges and solutions associated with scaling up bioprocesses from laboratory to industrial scale. Emphasis will be placed on case studies and best practices in process optimization.
Track 03
Predictive Modeling in Biotechnology
This track will cover the application of predictive modeling techniques in biotechnological processes. Discussions will include the integration of machine learning approaches to enhance process reliability and efficiency.
Track 04
Machine Learning Applications in Bioprocessing
Focusing on supervised and unsupervised learning techniques, this session will highlight their applications in bioprocessing. Attendees will learn how these methods can improve decision-making and process control.
Track 05
Deep Learning for Process Optimization
This track will explore the role of deep learning in optimizing bioprocesses and cell culture systems. Participants will discuss algorithms that can enhance data analysis and predictive capabilities.
Track 06
Anomaly Detection in Bioprocess Systems
This session will address the importance of anomaly detection in maintaining bioprocess integrity. Techniques for identifying and mitigating deviations in real-time will be examined.
Track 07
Feature Extraction Techniques for Bioprocess Data
This track will focus on advanced feature extraction methods that enhance data interpretation in bioprocessing. The session will cover practical applications and their impact on process monitoring.
Track 08
Workflow Automation in Biotechnology
This session will discuss the implementation of workflow automation in biotechnological processes. Participants will explore tools and technologies that streamline operations and improve efficiency.
Track 09
Industrial IoT in Bioprocess Monitoring
This track will examine the integration of Industrial Internet of Things (IIoT) in bioprocess monitoring and control. Discussions will focus on real-time data acquisition and its implications for process management.
Track 10
Digital Twin Technology in Bioprocessing
This session will explore the concept of digital twins and their application in bioprocessing. Participants will learn how digital twins can facilitate simulation, optimization, and predictive maintenance.
Track 11
Tissue Engineering and Bioreactor Design
This track will focus on the intersection of tissue engineering and bioreactor design. Discussions will include innovative designs that support tissue growth and the challenges of scaling these systems.