Yamine Bouzembrak

Dr. Yamine Bouzembrak is an Assistant Professor in Artificial Intelligence at Wageningen University & Research, specializing in applying AI to food systems, human health, and environmental sustainability. He holds a PhD in computer science and automation from Université Lille Nord de France (2011). His expertise bridges AI, big data, and system-based approaches to optimize food production, monitor health risks, and promote sustainable practices. He actively collaborates with EU initiatives and international consortia to develop solutions for food fraud detection, predictive modeling of disease outbreaks, and precision agriculture.

Key research areas include machine learning for food safety, digitalization in agriculture, and ethical AI frameworks for supply chains. He contributes to projects like the Food Safety Market platform and SOTERIA tool, enhancing risk assessment and transparency. His work emphasizes interdisciplinary collaboration, integrating technical innovations with societal and environmental goals.

Bouzembrak teaches courses such as 'Artificial Intelligence for Food and Health' and 'Programming in Python,' reflecting his commitment to education in AI applications. His articles span quantum computing in agriculture, hyperspectral imaging analytics, and federated learning for fraud detection, showcasing cutting-edge advancements in AI-driven food systems research.