Michalis Vazirgiannis

We have available PhD and post doctoral opportunities in our team! More info here.

Research Interests
Prof Vazirgiannis has conducted research in the area of large scale distributed data management and mining. Currently his research work and interests are oriented towards:
  • machine learning for graphs (graph kernels, embedding methods, deep learning for graph classification, large scale community detection) with applications in fraud detection
  • NLP and text mining (Graph of Words, Deep learning for text classification, summarisation and keyword extraction) applications
  • decision making methods, in particular: mathematical programming (mixed integer linear and nonlinear programming), combinatorial optimization, global optimisation, graph theory. We are interested both in methodology and applications, with a special focus on applications in energy optimization and computational geometry.
  • event and anomaly detection in data streams and time series (applications in text streams, sensory data, personalised medicine)
  • structured output prediction (multi-label classification, multi-output and sequential/dynamical models, probabilistic models and neural networks)
  • reinforcement learning (Bayesian models, and deep learning)
See Dr. Vazirgiannis publication list
See Dr. Vazirgiannis research team demos