AI Meets Food Science

This workshop aims to create a platform where leading researchers present the latest advances in AI for food science, and where open discussion with industry practitioners can shape the direction of future work. Whether you work in a university lab, a food company R&D department, or anywhere along the food value chain, we warmly welcome your participation.

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ML for Food Quality

Machine learning approaches for automated quality assessment, grading, and defect detection in food production.

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AI Sensing & Detection

Intelligent sensor systems and computer vision for real-time food monitoring, freshness detection, and contamination alerts.

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Flavor & Nutrition Analysis

Deep learning models for predicting flavor profiles, nutritional content, and consumer preference from food composition data.

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Food Safety & Traceability

AI-driven traceability systems, pathogen detection, and supply chain transparency for safer food ecosystems.

Featured Presenters

We are delighted to feature an outstanding line-up of invited speakers.

Prof. Dr. Ioannis Athanasiadis

Prof. Dr. Ioannis Athanasiadis

Wageningen University & Research, Netherlands

Foundation Models in agriculture and food security

Prof. Dr. Nicholas Bokulich

Prof. Dr. Nicholas Bokulich

ETH Zürich, Switzerland

Generative AI applications for food fermentation

Alberto Tonda

Alberto Tonda

INRAE / Université Paris-Saclay, France

AI for food and biomass transformation processes

Dr. Jack Yang

Dr. Jack Yang

Wageningen University & Research, Netherlands

Data collection, standardisation and hybrid modelling for food science

Yang Lingxi

University of Helsinki, Finland

Predicting and explaining phase stability of plant-based emulsions using multimodal data and LLM-RAG

Julia Senge

Julia Senge

University of Hohenheim, Germany

Digital twins for shelf life prediction using e-nose technology

Dr. Leevi Annala

Dr. Leevi Annala

University of Helsinki, Finland

Machine learning and hyperspectral imaging in analysis of fresh fruits and vegetables

Programme

May 15, 2025  ·  13:00 – 16:30  ·  Helsinki

Time Session Speaker
13:00 – 13:10 Opening & Welcome Opening Prof. Dr. Jiaheng Lu
13:10 – 13:40 Keynote
Foundation Models in agriculture and food security
Prof. Dr. Ioannis Athanasiadis
Wageningen University, Netherlands
13:40 – 14:10 Data collection, standardisation and hybrid modelling for food science Dr. Jack Yang
Wageningen University, Netherlands
14:10 – 14:30 AI for food and biomass transformation processes: current trends and open issues Dr. Alberto Tonda
INRAE / Université Paris-Saclay, France
14:30 – 14:50 Generative AI applications for food fermentation Prof. Dr. Nicholas Bokulich
ETH Zürich
14:50 – 15:05 Predicting and explaining phase stability of plant-based emulsions using multimodal data and LLM-RAG Yang Lingxi
University of Helsinki
15:05 – 15:20 Digital twins for shelf life prediction using e-nose technology Julia Senge
University of Hohenheim
15:20 – 15:35 Machine learning and hyperspectral imaging in analysis of fresh fruits and vegetables Dr. Leevi Annala
University of Helsinki
15:35 – 16:00 Group Discussion Discussion Moderator: Dr. Zhongqing Jiang
16:00 – 16:30 Coffee
Coffee & Networking

Register to Attend

Attendance is open to researchers, students, and industry professionals interested in AI and food science. Please register in advance to confirm your place.

Register Now

Organiser

Prof. Jiaheng Lu

Prof. Jiaheng Lu

Department of Computer Science
University of Helsinki
Helsinki, Finland

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