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 2 — Zero Hunger
SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
AI-Driven Predictive Modeling in Biotechnology
This track focuses on the application of AI techniques in predictive modeling for biotechnological processes. Researchers are invited to present innovative methodologies that enhance predictive accuracy and operational efficiency.
Track 02
Deep Learning Applications in Biosystem Engineering
This session will explore the integration of deep learning algorithms in the engineering of biosystems. Contributions should highlight novel approaches to data analysis and feature extraction in complex biological datasets.
Track 03
Anomaly Detection in Biotechnological Systems
This track addresses the challenges and solutions related to anomaly detection in biotechnological applications. Papers should discuss advanced techniques for identifying and mitigating anomalies in biosystem operations.
Track 04
Workflow Automation in Biotechnology
This session emphasizes the role of automation in streamlining workflows within biotechnological research and development. Submissions should focus on AI-driven solutions that enhance productivity and reduce human error.
Track 05
Industrial IoT and Predictive Maintenance in Biosystems
This track investigates the intersection of industrial IoT and predictive maintenance strategies in biosystem engineering. Researchers are encouraged to present case studies and frameworks that illustrate the benefits of IoT integration.
Track 06
Digital Twin Technologies for Biosystem Simulation
This session will cover the development and application of digital twin technologies in simulating biosystems. Contributions should focus on the accuracy and efficiency of digital twins in predicting system behavior and performance.
Track 07
Pathway Analysis and Computational Modeling
This track invites discussions on computational modeling techniques for pathway analysis in biological systems. Papers should explore how these models can enhance our understanding of metabolic and signaling pathways.
Track 08
Process Optimization in Biotechnology
This session focuses on methodologies for process optimization in biotechnological applications using AI. Researchers are encouraged to share innovative strategies that lead to improved yield and efficiency.
Track 09
System Integration in AI-Driven Biosystems
This track examines the challenges and solutions associated with system integration in AI-driven biosystems. Contributions should highlight interdisciplinary approaches that facilitate seamless integration of various technologies.
Track 10
Simulation Analytics for Biosystem Engineering
This session will explore the role of simulation analytics in enhancing biosystem engineering practices. Papers should focus on the application of analytical techniques to improve decision-making and system performance.
Track 11
Evaluation Metrics for AI Models in Biotechnology
This track addresses the importance of model evaluation in the context of AI applications in biotechnology. Researchers are invited to propose new metrics and frameworks that ensure the reliability and validity of AI-driven models.