PhD
Vlado
Stankovski
no.:
19728
researcher – active in research organisation
| Code |
Science |
Field |
Subfield |
|
2.07.07
|
Engineering sciences and technologies
|
Computer science and informatics
|
Intelligent systems - software
|
|
2.01.06
|
Engineering sciences and technologies
|
Civil engineering
|
Computer integrated construction of objects
|
| Code |
Science |
Field |
|
P175
|
Natural sciences and mathematics
|
Informatics, systems theory
|
|
T120
|
Technological sciences
|
Systems engineering, computer technology
|
|
P170
|
Natural sciences and mathematics
|
Computer science, numerical analysis, systems, control
|
|
P176
|
Natural sciences and mathematics
|
Artificial intelligence
|
software engineering, distributed computing, cloud computing, semantic web, distributed ledger technologies, blockchain
Data for the last 5 years (citations for the last 10 years) on
November 10, 2025;
Data for score A3 calculation refer to period
2020-2024
(2020, 2021, 2022, 2023, 2024)
| Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
| WoS |
70
|
1,704
|
1,588
|
22.69
|
| Scopus |
102
|
3,129
|
2,931
|
28.74
|
| Level of education |
Professional title |
Study subject |
Faculty |
Year |
|
|
BSc
|
Computer Science
|
|
1995
|
|
Master's degree
|
M. Sc.
|
Computer Science
|
Univesity of Ljubljana, Faculty of Computer and Information Science
|
2000
|
|
Doctoral degree
|
Ph. D.
|
|
University of Ljubljana, Faculty of Civil and Geodetic Engineering
|
2009
|
Doctoral dissertations and other final papers
Show
ARIS research and infrastructure programmes
Legend
Vlado Stankovski is a full professor at the Faculty of Computer and Information Science at the University of Ljubljana, where he leads and participates in numerous research, educational, and industrial-development projects. His research work covers areas such as software engineering, distributed systems, cloud computing, edge and fog computing, the semantic web, decentralized technologies, and artificial intelligence, including deep learning and machine learning.
He has extensive experience in the design and integration of advanced distributed architectures, including middleware, smart contracts, and blockchain technologies. He is one of the leading researchers in the field of semantic interconnection of systems with decentralized infrastructure and next-generation internet (NGI) standards.
As a scientific and technical coordinator, he has co-shaped and led European projects such as DataMiningGrid, ONTOCHAIN, and TRUSTCHAIN, which together encompass more than 100 subprojects for the development of advanced, human-centric, and trustworthy technologies for the internet of the future. His role also involves developing technical specifications, coordinating with stakeholders, and overseeing the scientific quality of the results.
He is involved in several ongoing projects, such as:
EBSI-VECTOR – Establishing a European infrastructure for cross-border credential verification using blockchain technologies.
ESSA – A European initiative for the development of professional digital competencies in the software industry.
NOO ULTRA – Overhaul of higher education professional programs with the introduction of micro-credentials and eIDAS2 identity.
BUILDCHAIN – Building a decentralized knowledge platform for digital twins and building life cycles.
ExtremeXP – Development of highly accurate artificial intelligence solutions focused on user experience.
ACES – Development of cognitive services for the cloud.
Swarmchestrate – Decentralized orchestration of applications across the entire continuum from cloud to edge.
Among his completed projects, the most notable include DataMiningGrid, MOSAIC, ENTICE, SWITCH, DECENTER, ESSA, ONTOCHAIN, and several others, which have significantly contributed to the development of digital sovereignty, decentralization, and interoperability of European digital services.
Prof. Stankovski has published more than 100 scientific papers in internationally recognized journals and conferences. His research work often focuses on developing tools for smart contracts, decentralized management of identity, services, and knowledge, as well as digital markets. His publications cover topics such as the credibility and interoperability of microservices, digital identity, smart building systems, recommendation systems for smart contracts, cryptographic mechanisms, and the use of digital twins and ontologies.
In the educational field, he teaches courses such as: Introduction to Computer Science,
Communication Security and Content Protection, and Fog Computing for Smart Services.
He is also a mentor to numerous undergraduate and graduate students, with topics including fog computing application development, integration of AI, IoT, blockchain, and digital twins, smart contracts, decentralized journals, digital identities, eIDAS2, and the implementation of standards like ERC-20, ERC-721, ERC-1155, and W3C DID.
He works within the Laboratory for Data Technologies at UL FRI, where he, along with his team, develops advanced digital solutions based on trust, interoperability, and user-centered design.