Hybrid Conferencee

International Conference on Biotechnological Applications in Food Process Engineering (ICBAFPE - 26)

10th - 11th December 2026 | Oulu, Finland

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Oulu. 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 Oulu 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 Oulu conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Oulu, 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 Oulu."
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 2
SDG 2 Zero Hunger
SDG 3
SDG 3 Good Health and Well-being
SDG 9
SDG 9 Industry, Innovation and Infrastructure
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.