A computer scientist with a background in software engineering, holding a Master's in Computer Science and currently pursuing a PhD focused on Industry 4.0/5.0, specifically on data collection and the use of active/passive learning. The research interests also include distributed systems, cloud computing, and continuous learning systems, aiming to develop advanced methodologies and solutions in these areas. Experienced in building scalable backend systems using Django, PostgreSQL, Redis, and React, with a focus on advancing research in AI and data-driven technologies to address the challenges of the digital landscape.
Noureddine Bendjelloul
COMP4++, ANDORRA
Biography
Thesis
Data Collection and Active/Passive Learning in Industry 4.0/5.0 Systems
ABSTRACT :
This research explores the integration of data collection techniques with active and passive learning methodologies within the context of Industry 4.0/5.0 systems. The study aims to develop innovative approaches for efficient data acquisition and processing in environments driven by the Internet of Things (IoT) and AI technologies. By leveraging active and passive learning, the research seeks to enhance decision-making processes, system optimization, and adaptability in dynamic industrial settings. The work also investigates the potential of continuous learning systems to improve the accuracy and reliability of data-driven applications, contributing to the advancement of smart manufacturing and automation systems in the digital age.
KEYWORDS : Data Collection, IoT, industry 4.0, AI, Passive Learning, Actif Learning
Advisors
