Hybrid Conferencee

International Conference on Biotechnology for Water and Waste Engineering (ICBWWE - 26)

27th - 28th August 2026 | ACCRA, Ghana

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in ACCRA. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the ACCRA event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the ACCRA conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in ACCRA, 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 ACCRA."
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 6
SDG 6 Clean Water and Sanitation
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.