Hybrid Conferencee

International Conference on AI-Driven Biosystem Modeling and Engineering (ICAIBME - 26)

18th - 19th August 2026 | Utrecht, Netherlands

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Utrecht conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Utrecht, 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 Utrecht."
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 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
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.