Registration summary
ConferenceICMBEE
ModeVirtual
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICMBEE conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
