The AIFAB 2024 Workshop was held at Gebze Technical University between 21-22 November 2024.

We are delighted to announce the successful completion of the AIFAB 2024. Throughout the event, we welcomed esteemed researchers and students who shared their insights, ideas, and innovations in artificial intelligence and its applications.

We extend our heartfelt gratitude to our keynote speakers and participants for their valuable contributions, active engagement, and stimulating discussions, which greatly enriched the workshop. A special thanks also goes to our organizing committee for their support in making this event a remarkable success.

Your enthusiasm and collaboration have inspired us, and we hope to see you at future events!

Artificial intelligence (AI) is a scientific area that allows computer systems to have human-like intelligence. In recent years, AI has been a powerful tool increasingly used in Food Science, Biotechnology, and Bioengineering to develop innovative solutions. AI technologies can generally be investigated under two main categories:

Machine learning (ML) is based on using predefined rules on computers to perform a specific task. In Food Science and Biotechnology, ML plays important roles in various issues such as optimizing production processes, quality control, and ensuring food safety. For instance, ML algorithms can detect errors in a food production line or determine optimal conditions in a biotechnological process.

Deep learning (DL) is an AI approach that learns its features by taking samples from large data sets and then uses these features to perform given tasks. DL techniques have enabled revolutionary advances in Bioengineering applications, which largely require data analytics and modeling. These techniques provide high levels of abstraction ability in Bioengineering fields such as bioprocess modeling, genomics, and proteomics data analysis. Thus, the properties of food ingredients can be predicted, the efficiency of biotechnological processes can be increased, and complex biological systems can be modeled in Bioengineering via the DL approach.

Overall, the purpose of this workshop is to discuss the applications and modeling techniques of AI technologies in Food Science and Bioengineering, promote knowledge sharing, and support innovative studies in this field. It is aimed to ensure that participants understand the potential and current applications of AI technologies in various areas such as food production, processing, quality control, nutritional science, and bioengineering.

Assoc. Prof. Dr. Fatih Tarlak

Chairman of the Organizing Committee