Michail Vazirgiannis

Michail Vazirgiannis is a Visiting Professor at KTH Royal Institute of Technology's Division of Software and Computer Systems, supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). His research focuses on machine and deep learning for large-scale heterogeneous data, particularly graphs and text. Key areas include graph neural networks, community detection, graph embeddings, influence maximization, and graph-based NLP applications in domains like digital marketing, legal text analysis, and social networks.

He emphasizes the societal and economic impact of AI, advocating for balanced integration of these technologies. His work bridges theoretical advancements with practical applications in bio/medicine, legal systems, and automated decision-making processes.

Although no specific articles or grants are detailed here, his research trends reflect cutting-edge contributions to graph-based AI and interdisciplinary applications.