HOLISUN is a software company founded in 2001, consisting of specialists with extensive technical experience in both research and development. For HOLISUN, research and innovation is a major component. HOLISUN has been developing projects in various countries, including Romania, France, Holland, Qatar, United States and Canada. In these countries we have partners and/or clients with/who we developed one series of software and web application.
Specific know-how consists in:
- Machine learning and data mining
- Augmented reality
Research projects:
- SDK4ED - Software Development toolKit for Energy optimization and technical Debt elimination (Horizon 2020): 2018 – 2021
- Functionizer - Multi-cloud & serverless deployment optimisation platform for data-intensive computing (Eurostars): 2018 - 2021
- MODSOIL – Development of an expert system for predicting the weather conditions for agriculture (UEFISCDI): 2013 - 2017
Oliviu Matei, dr. habil. eng., (M) has graduated as an engineer in Computer Science from the Technical University of Cluj-Napoca (Romania), and then as a M.Sc. in Artificial Intelligence from the Vrije Universiteit, Amsterdam. In 2012, he becomes a PhD in system engineering and in 2016 he becomes habilitated in Computer Science. His fields of interest are data mining in IoT and augmented reality.
- Matei, Oliviu, et al. "Context-Aware Data Mining: Embedding External Data Sources in a Machine Learning Process." International Conference on Hybrid Artificial Intelligence Systems. Springer, Cham, 2017.
- Matei, Oliviu, Kevin Nagorny, and Karsten Stoebener. "Applying data mining in the context of Industrial Internet." International Journal of Advanced Computer Science & Applications 1.7 (2016): 621-626.
- Matei, Oliviu, et al. "Collaborative data mining for intelligent home appliances." Working Conference on Virtual Enterprises. Springer, Cham, 2016.
- Matei, Oliviu, et al. "Multi-layered data mining architecture in the context of Internet of Things." Industrial Informatics (INDIN), 2017 IEEE 15th International Conference on. IEEE, 2017.
- Pop, Petrică C., Matei, O. "A two-level solution approach for solving the generalized minimum spanning tree problem." European Journal of Operational Research 265.2 (2018): 478-487.