Software Infrastructure – Multimodal Data Fusion and Analytics Group

CyclOps: Leveraging Semantic Technologies for AI and Data Life Cycle Management and Governance

M. Caballero, A. Queralt, D. Calvanese, A. Oikonomidis, C. Muonagor, A. Abella, P. Campalani, B. Cogrel, G. Tassi, J. Palma, A. Barceló, S. Talebzadeh, R. Little, P. Oiz, F. Pérez, A. Kalafatelis, M. Font, S. Nadal, A. Nizamis, A. Jukan, S. M. Marotta, R. Simón-Carbajo, J. Conejero, D. Ordóñez, "CyclOps: Leveraging Semantic Technologies for AI and Data Life Cycle Management and Governance.", in Artificial Intelligence, Data and Robotics, E. Curry et al., Eds, Cham: Springer, 2026, pp. 403–432. https://doi.org/10.1007/978-3-032-10561-5_14

A knowledge-based approach for guided development of Infrastructure as Code

Z. Vasileiou, I. Kumara, G. Meditskos, K. Tokmakov, D. Radolović, J. Gorroñogoitia Cruz, E. Di Nitto, D. Andrew Tamburri, W. Van Den Heuvel, S. Vrochidis, "A knowledge-based approach for guided development of Infrastructure as Code", Software and Systems Modeling, 2025. DOI: https://doi.org/10.1007/s10270-025-01294-1

Design of a configurable acoustic sensor for privacy-compliant urban soundscape recordings

P. Kritopoulou, G. Loupas, E. Lagiokapa, N. V. Georgakopoulou, S. Diplaris, S. Vrochidis, "Design of a configurable acoustic sensor for privacy-compliant urban soundscape recordings", in Proceedings of the Concurrency and Computation: Practice and Experience (IDC2024), Special Issue on "International Symposium on Intelligent Distributed Computing (IDC2024)", May 2025 [Online].

The SODALITE Model-Driven Approach

J. Gorroñogoitia, D. Radolović, Z. Vasileiou, G. Meditskos, A. Karakostas, S. Vrochidis, M. Bachras, "The SODALITE Model-Driven Approach.", in Deployment and Operation of Complex Software in Heterogeneous Execution Environments, E. Di Nitto, J. Gorroñogoitia Cruz, I. Kumara, D. Radolović, K. Tokmakov, and Z. Vasileiou, Eds., Cham, Switzerland: Springer, July 2022, pp. 23–52. DOI:https://doi.org/10.1007/978-3-031-04961-3

Quality Assurance and Design-Time Optimization

I. Kumara, A. Lazzaro, N. Mujkanovic, Z. Vasileiou, D. Tamburri, "Quality Assurance and Design-Time Optimization.", in Deployment and Operation of Complex Software in Heterogeneous Execution Environments, E. Di Nitto, J. G. Cruz, I. Kumara, D. Radolović, K. Tokmakov, and Z. Vasileiou, Eds., Cham, Switzerland: Springer, July 2022, pp. 53–66. DOI:https://doi.org/10.1007/978-3-031-04961-3

Infrastructure monitoring and quality diagnosis in CNC machining: A review

M. Ntemi, S. Paraschos, A. Karakostas, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris " Infrastructure monitoring and quality diagnosis in CNC machining: A review.", CIRP Journal of Manufacturing Science and Technology, Elsevier, Volume 38, August 2022, Pages 631-649. https://doi.org/10.1016/j.cirpj.2022.06.001

An IoT-based Reliable Industrial Data Services for Manufacturing Quality Control

R. Poler, A. Karakostas, S. Vrochidis, A. Marguglio, S. Settier, P. Figueiras, A. Gómez-González, B. Mandler, S. Wellsandt, R. Trevino, S. Bassoumi, C. Agostinho, "An IoT-based Reliable Industrial Data Services for Manufacturing Quality Control.", in Proceedings of the 2021 IEEE International Conference on Engineering, Technology and Innovation, 21-23 June 2021.

How to Collect Factories’ Requirements for Smart Manufacturing in Context of Quality Control: the i4Q Approach

A. Karakostas, G. Apostolou, R. Poler, B. Andrés, R. Trevino, A. M. Nowak-Meitinger, R. Jochem, S. Vrochidis, "How to Collect Factories’ Requirements for Smart Manufacturing in Context of Quality Control: the i4Q Approach.", in Proceedings of the 29th IEEE International Requirements Engineering Conference, Notre Dame, South Bend, USA, 20-24 September 2021.

Industrial Data Services for Quality Control in Smart Manufacturing – the i4Q Framework

A. Karakostas, F. Fraile, R. Poler, S. Vrochidis, "Industrial Data Services for Quality Control in Smart Manufacturing - the i4Q Framework.", in Proceedings of the 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, Virtual, 07-09 June 2021.

Semantically Enriching an Open Source SOS Implementation for Accessing Heterogeneous Environmental Data Sources

D. Hilbring, A. Moumtzidou, J. Mossgraber, S. Vrochidis, "Semantically Enriching an Open Source SOS Implementation for Accessing Heterogeneous Environmental Data Sources.", in Proceedings of the Global Conference for Open Source Geospatial Software, Nottingham, UK, September 17-21, 2013.

Towards Semantic Detection of Smells in Cloud Infrastructure Code

I. Kumara, Z. Vasileiou, G. Meditskos, D. Tamburri, W.J. Van Den Heuvel, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "Towards Semantic Detection of Smells in Cloud Infrastructure Code.", in Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics (WIMS2020), August 2020, pp. 63 - 67.

A Pattern-based Semantic Lifting of Cloud and HPC Applications using OWL 2 Meta-modelling

G. Meditskos, Z. Vasileiou, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "A Pattern-based Semantic Lifting of Cloud and HPC Applications using OWL 2 Meta-modelling.", in Proceedings of the International Conference on High Performance Computing & Simulation (HPCS 2020), Barcelona Spain, 10-14 December 2020.