Important Dates
Early Bird Registration :28th October 2026
Paper Submission Deadline :2nd November 2026
Last Date of Registration : 12th November 2026
Date of Conference : 27th - 28th November 2026
Conference 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.
SDG 6 — Clean Water and Sanitation
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 15 — Life on Land
Track 01
Advancements in Microbial Biotechnology
This track focuses on the latest innovations in microbial biotechnology, emphasizing novel microbial strains and their applications in various industries. Participants will explore the role of microorganisms in enhancing bioprocesses and developing sustainable solutions.
Track 02
Environmental Engineering Solutions for Wastewater Treatment
This session will delve into cutting-edge technologies and methodologies for effective wastewater treatment using microbial processes. Discussions will include case studies showcasing successful implementations and the role of biotechnology in improving treatment efficiency.
Track 03
Predictive Modeling in Environmental Systems
This track will examine the application of predictive modeling techniques in environmental engineering, focusing on their role in forecasting microbial behavior and ecosystem responses. Participants will discuss various modeling approaches, including supervised and unsupervised learning.
Track 04
Deep Learning Applications in Microbial Analytics
This session will highlight the integration of deep learning techniques in microbial analytics, showcasing their potential to enhance data interpretation and decision-making processes. Attendees will explore various algorithms and their applications in analyzing complex microbial datasets.
Track 05
Anomaly Detection in Biotechnological Processes
This track will focus on methodologies for anomaly detection in biotechnological processes, emphasizing the importance of maintaining system integrity and performance. Participants will discuss various techniques and tools for identifying and mitigating anomalies in real-time.
Track 06
Feature Extraction Techniques for Environmental Data
This session will explore advanced feature extraction techniques applicable to environmental data, particularly in the context of microbial biotechnology. Discussions will include the significance of feature selection in enhancing model performance and interpretability.
Track 07
Workflow Automation in Bioprocess Engineering
This track will examine the role of workflow automation in bioprocess engineering, highlighting its potential to streamline operations and improve efficiency. Participants will discuss case studies that demonstrate successful automation implementations in microbial biotechnology.
Track 08
Industrial IoT Applications in Environmental Monitoring
This session will focus on the integration of Industrial Internet of Things (IIoT) technologies in environmental monitoring systems. Attendees will explore how IIoT can enhance data collection, real-time monitoring, and decision-making in microbial biotechnology applications.
Track 09
Bioremediation Strategies for Environmental Restoration
This track will cover innovative bioremediation strategies utilizing microbial processes for environmental restoration. Participants will discuss the effectiveness of various bioremediation techniques and their applications in contaminated site management.
Track 10
Predictive Maintenance in Biotechnology Facilities
This session will explore predictive maintenance strategies in biotechnology facilities, emphasizing the role of data analytics in optimizing equipment performance. Discussions will include methodologies for implementing predictive maintenance to reduce downtime and enhance operational efficiency.
Track 11
Digital Twin Technologies in Environmental Engineering
This track will focus on the application of digital twin technologies in environmental engineering, particularly in modeling and simulating biotechnological processes. Participants will explore how digital twins can enhance system design, monitoring, and optimization in microbial biotechnology.