Giulia Bruno

Giulia Bruno is an Associate Professor at the Department of Management and Production Engineering (DIGEP) of Politecnico di Torino, where she also serves as a Junior project manager and is a member of both the Interdepartmental Center J-Tech@PoliTO and the Joint Committee on Teaching.

Her academic expertise lies in Manufacturing Technologies and Systems (IIND-04/A) within Industrial and Information Engineering. She holds formal recognition in ERC sectors including Artificial Intelligence, Manufacturing Engineering, and Production Technology.

Dr. Bruno's research focuses on the integration of digital technologies with manufacturing systems, exploring how discrete event simulation, Industrial IoT, and Industry 4.0 principles can transform traditional manufacturing through lean approaches. Her work spans manufacturing execution systems, product lifecycle management, and increasingly incorporates machine learning applications for quality control and predictive maintenance in production environments. Recent publications reveal expanding interest in applying manufacturing principles to agricultural technology, particularly in aeroponics and vertical farming systems.

Her publication record demonstrates a clear trend toward human-centric approaches to digitalization in manufacturing, with emphasis on sustainable production practices and the integration of AI with traditional manufacturing processes. Recent work shows strong interdisciplinary connections between manufacturing systems and agricultural technology.

• Burbidge Award for the Best Paper - APMS'14 (International Federation for Information Processing)
• Mentoring Polito Project (M2P) badge issued August 25, 2023

Dr. Bruno actively supervises five PhD students working on advanced manufacturing technologies and systems. She currently leads the HANDS project (Human-centric Agile Next-gen Digitalization System, 2024-2026) as Scientific Manager and contributes to regional research initiatives. Her teaching spans PhD, Master's, and Bachelor's levels with focus on machine learning applications in manufacturing, production systems management, and business information systems.

She leads research groups focused on Knowledge engineering management and Management of production systems within DIGEP, contributing to the advancement of manufacturing technologies and sustainable production practices.