Webinar: Sensors & Sens-AI-bility

The event titled 'Webinar: Sensors & Sens-AI-bility' is an insightful online session organized by the Food & Drink and Process Management & Control Special Interest Groups. This webinar represents the third installment in a collaborative series aimed at exploring innovative technologies in the food industry. A key focus of this session is the integration of artificial intelligence (AI) with various digital technologies to enhance food production systems. The Leeds University Food AI Lab is renowned for its expertise in sensing, machine learning, and optimization, and it plays a pivotal role in addressing critical barriers to industry adoption, such as cost and usability.During the webinar, attendees will receive an overview of the lab's cutting-edge research regarding sensing technologies, including acoustic and optical methods, and their applications in energy and water monitoring across industrial settings. Specific case studies will illustrate the use of these technologies, such as allergen detection and sustainable brewing practices through advanced fermentation endpoint detection. The presentation will highlight the work of two esteemed speakers from the Leeds University Food AI Laboratory: Nik Watson and Tom Hazlehurst. Nik Watson, a Professor of Artificial Intelligence in Food, is recognized for his commitment to developing digital solutions that tackle pressing challenges in food safety and environmental sustainability. His expertise lies in the integration of low-cost sensors with advanced machine learning techniques, aiming to optimize food production processes in real-time. His research aligns with advancing the circular bioeconomy and innovating in alternative proteins, showcasing his collaborative efforts with industry partners across various food sectors. With a solid academic background and extensive industry experience, Nik is dedicated to ensuring that his research leads to tangible impacts in the food industry.Tom Hazlehurst, a Research Fellow specializing in Artificial Intelligence for Sustainable Food, contributes to the School of Food Science and Nutrition at the University of Leeds. His research focuses on applying AI and machine learning to address food security challenges and the development of alternative proteins, particularly through the National Alternative Protein Innovation Centre (NAPIC) project. With a robust background in applied mathematics, Tom engages in cross-sector collaborations that merge data science with food systems, promoting sustainable innovations.This webinar offers a unique opportunity to delve into the fusion of AI and food technology, showcasing how these advancements can lead to improved practices within the food industry. It promises to be an informative session for professionals interested in the future of food production and technology.