Miroslav Mirchev

Miroslav Mirchev is a postdoctoral researcher at the Complexity Science Hub in Vienna, Austria, and a professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, North Macedonia. His work bridges network science, machine learning, and digital disinformation detection.

Research Interests: His primary research focuses on network science and machine learning in graphs, particularly in modeling and detecting digital disinformation in online social networks. He also investigates applications in digital currency ecosystems, portfolio optimization, and algorithmic fairness. His interdisciplinary work spans computer science, finance, and complex systems.

The recent articles highlight a strong trend toward applying graph-based AI methods to financial systems and disinformation detection. Key themes include the use of graph neural networks for company classification, network-based portfolio diversification in crypto and stock markets, and privacy-preserving synchronization in dynamical networks. These works reflect a convergence of AI, network theory, and real-world socio-technical systems.

Scientific Awards:

• No awards mentioned in the provided text.

Advising and Grants: While no direct advisees are listed, Miroslav Mirchev contributes to major research initiatives such as DesInfact (disinformation detection) and AMALFI (machine learning in cryptoasset graphs). He collaborates with researchers across institutions, indicating active involvement in funded research projects, though specific grants are not detailed.

Labs and Teams: He is affiliated with the Complexity Science Hub and participates in research projects including DesInfact and AMALFI, focusing on disinformation and digital currency ecosystems. These teams involve interdisciplinary collaboration with experts in AI, network science, and financial systems.