Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
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. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 2 — Zero Hunger
SDG 3 — Good Health and Well-being
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
Explore
All Session Tracks
Track 01
Advancements in Predictive Modeling for Food Engineering
This track focuses on the latest methodologies in predictive modeling applied to food process engineering. It aims to explore the integration of statistical and machine learning techniques to enhance food quality and safety.
Track 02
Supervised Learning Techniques in Food Biotechnology
This session will delve into the application of supervised learning algorithms in optimizing food processing operations. Participants will discuss case studies highlighting improvements in efficiency and product quality.
Track 03
Unsupervised Learning for Process Optimization
This track examines the role of unsupervised learning in identifying patterns and anomalies in food processing data. The discussions will center on innovative approaches to enhance operational workflows.
Track 04
Deep Learning Applications in Food Safety
This session will showcase deep learning techniques that contribute to food safety monitoring and risk assessment. Experts will present their findings on how these technologies can predict potential hazards in food production.
Track 05
Anomaly Detection in Food Processing Systems
This track will explore advanced methodologies for anomaly detection within food processing systems. Participants will share insights on real-time monitoring and intervention strategies to maintain product integrity.
Track 06
Feature Extraction Techniques for Food Quality Assessment
This session will focus on innovative feature extraction methods that enhance the assessment of food quality. Discussions will include the application of these techniques in various food processing scenarios.
Track 07
Workflow Automation in Food Biotechnology
This track addresses the implementation of workflow automation technologies in food biotechnology. Participants will discuss the benefits and challenges of automating processes to improve efficiency and consistency.
Track 08
Industrial IoT in Food Process Engineering
This session will highlight the impact of Industrial Internet of Things (IoT) on food process engineering. Experts will discuss how IoT technologies can facilitate real-time data collection and analysis for improved decision-making.
Track 09
Predictive Maintenance Strategies in Food Production
This track will explore predictive maintenance strategies tailored for food production environments. Participants will examine case studies that demonstrate the effectiveness of these strategies in reducing downtime.
Track 10
Digital Twin Technologies in Food Engineering
This session will focus on the application of digital twin technologies in food engineering. Discussions will center on how digital twins can simulate processes for better resource allocation and optimization.
Track 11
Quality Control Innovations in Food Biotechnology
This track will showcase innovative approaches to quality control in food biotechnology. Participants will discuss the integration of analytics and simulation techniques to enhance quality assurance processes.