Hybrid Conferencee

International Conference on Waste-to-Value Engineering in Industrial Biotechnology (ICWVEIB - 26)

29th - 30th October 2026 | Sydney, Australia

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Certificate of Presentation:
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Networking with Global Experts:
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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
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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 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Waste-to-Value Engineering

This track focuses on innovative methodologies and technologies in waste-to-value engineering within industrial biotechnology. Participants will explore case studies and frameworks that demonstrate effective resource recovery and conversion processes.

Track 02

Predictive Modeling in Biotechnology Applications

This session delves into the application of predictive modeling techniques in the field of biotechnology. Emphasis will be placed on the development and validation of models that enhance decision-making in waste management and resource recovery.

Track 03

Machine Learning Techniques for Industrial Biotechnology

This track highlights the role of supervised and unsupervised learning methods in optimizing biotechnological processes. Discussions will include feature extraction, anomaly detection, and their implications for system efficiency.

Track 04

Deep Learning Applications in Waste Management

This session examines the integration of deep learning algorithms in waste-to-value engineering. Participants will present research on how these advanced techniques can improve process optimization and resource allocation.

Track 05

Workflow Automation in Biotechnology Processes

This track addresses the automation of workflows in industrial biotechnology, focusing on system monitoring and model evaluation. The session will explore tools and strategies that enhance operational efficiency and reduce human error.

Track 06

Industrial IoT for Resource Recovery

This session investigates the role of the Industrial Internet of Things (IoT) in facilitating resource recovery processes. Topics will include real-time monitoring, data analytics, and the integration of IoT with bioprocess modeling.

Track 07

Digital Twin Technologies in Biotechnology

This track explores the application of digital twin technologies in optimizing biotechnological processes. Participants will discuss how virtual representations of physical systems can enhance predictive maintenance and process simulation.

Track 08

Circular Economy Strategies in Industrial Biotechnology

This session focuses on the implementation of circular economy principles within the biotechnology sector. Discussions will center on sustainable practices that promote waste reduction and resource efficiency.

Track 09

Simulation and Analytics for Process Optimization

This track emphasizes the use of simulation and analytics tools to optimize biotechnological processes. Participants will share insights on how these methodologies can lead to improved performance and sustainability.

Track 10

Resource Allocation in Biotechnology Systems

This session addresses the challenges and strategies related to resource allocation in industrial biotechnology. Emphasis will be placed on optimizing resource use to enhance productivity and sustainability.

Track 11

Emerging Trends in Bioprocess Modeling

This track highlights the latest trends and innovations in bioprocess modeling within the context of waste-to-value engineering. Participants will discuss new modeling approaches that support efficient biotechnological applications.