San Giliyana
Educational background
San has a master’s degree from Mälardalen University in project and process development with a subsequent professional career.
Working Experience
San worked as a consultant at one of the country’s leading consulting companies before he got a job at Volvo, one of the MITC’s partner companies. His career crosses academia and companies.
Research Topic
Smart Maintenance Technologies for the Manufacturing Industry
Research Abstract
The nine technologies of Industry 4.0, Cyber-Physical Systems (CPSs), and Artificial Intelligence (AI), play an important role in the development of smart maintenance technologies. For instance, IIoT, Big Data and Analytics, and AI, can be used for machine connection, maintenance data collection, and analysis and decision-making using AI. Previous research presents several approaches for smart maintenance technologies. One problem is that the manufacturing industry faces many challenges when implementing smart maintenance technologies in a beneficial way. Therefore, this research aims to support the manufacturing industry in implementing smart maintenance technologies, as well as identifying challenges and enablers when implementing, and benefits of smart maintenance technologies.
Publications
2024
Anomaly detection using different types of machine learning models in the context of “smart maintenance technologies in the manufacturing industry”. Author: San Giliyana. Procedia Computer Science
Volume 253, 2025, Pages 942-951
Implementing and using smart maintenance technologies: Introducing challenges and enablers related to human, organizational and technological perspectives. Authors: San Giliyana, Marcus Bengtsson, Antti Salonen. Procedia Computer Science
Volume 253, 2025, Pages 932-941
2023
2022