- Data engineering and Design Science in the food domain

- Big Data and cooking recipes

- Cooking and recipe computing

- Nutrition data mining

- Cooking recipe benchmarking

- Data semantic modelling and ontology engineering for food data

- Recipe data management

- Recipe data analytics

- Open cooking linked data analysis

- Food ontology

- Social data analysis for recipe computing

- Eating behavior analysis

- Culture analytics for food recommender system

- Multimedia food data analysis

- Multi-modal representation learning (Image/text alignment)

- Recommendation systems, benchmarking and performance evaluation

- Classification for food data

- Multi-modal retrieval techniques for recipe management

- Content generation for recipe computing

- Knowledge discovery from recipe computing

- Data visualization for food decision making

- Decision-making in intelligent food system

- Interactions in recipe computing

- Food recommender systems for group

- Data visualization for enhance food sensorial experience

- Automated recipe and nutrients conversion

- Nutritional model for the intelligent food system

- Healthy eating models

- Health-aware food recommender systems

- Personalization and health model