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International Conference on Biotechnology for Water and Waste Engineering

ICBWWE

22nd Aug – 23rd Aug 2026 Athens, Greece

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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10% OFF on Registration.
Use Coupon Code → EARLY10
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Terms & Condition

Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 6 SDG 9 SDG 11 SDG 12
01 Innovations in Bioprocess Engineering +
This track focuses on the latest advancements in bioprocess engineering for water and waste management. It aims to explore novel biotechnological approaches that enhance efficiency and sustainability in treatment processes.
SDG 6 SDG 12
02 Predictive Modeling in Water Treatment +
This session will delve into the application of predictive modeling techniques in optimizing water treatment processes. Participants will discuss methodologies that leverage machine learning to forecast system performance and improve decision-making.
SDG 6 SDG 9
03 Machine Learning Applications in Waste Engineering +
This track highlights the integration of supervised and unsupervised learning techniques in waste engineering. It will cover case studies that demonstrate the effectiveness of these methods in resource recovery and waste management.
SDG 12 SDG 9
04 Anomaly Detection in Environmental Monitoring +
This session will address the challenges and solutions related to anomaly detection in environmental monitoring systems. Attendees will explore advanced algorithms that enhance the reliability of monitoring data in biotechnological applications.
SDG 13
05 Feature Extraction Techniques for Water Quality Assessment +
This track will focus on innovative feature extraction methods used to assess water quality. Discussions will include the role of these techniques in improving the accuracy of predictive models and monitoring systems.
SDG 6 SDG 12
06 Workflow Automation in Waste Management +
This session aims to explore the role of automation in streamlining workflows within waste management systems. Participants will share insights on how automation can enhance operational efficiency and reduce human error.
SDG 12
07 Industrial IoT for Smart Water Management +
This track will examine the impact of Industrial Internet of Things (IoT) technologies on water management practices. It will highlight case studies showcasing the integration of IoT for real-time monitoring and data-driven decision-making.
SDG 9 SDG 11
08 Resource Recovery Strategies in Biotechnology +
This session will focus on innovative strategies for resource recovery in biotechnological applications. Discussions will include methods that enhance the sustainability and economic viability of waste-to-resource processes.
SDG 12 SDG 13
09 Process Optimization through Deep Learning +
This track will explore the application of deep learning techniques in optimizing bioprocesses for water and waste engineering. Participants will discuss how these advanced methodologies can lead to significant improvements in operational performance.
SDG 9 SDG 12
10 Digital Twin Technologies in Water Systems +
This session will investigate the use of digital twin technologies for simulating and optimizing water systems. Attendees will explore how digital twins can enhance system monitoring and predictive maintenance efforts.
SDG 9 SDG 11
11 Simulation and Analytics in Waste Engineering +
This track will focus on the role of simulation and analytics in enhancing waste engineering practices. Participants will discuss various analytical frameworks that support effective decision-making and process improvements.
SDG 12 SDG 9