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EECS welcomes new colleagues

Published Sep 01, 2020

We give a warm welcome to two new faculty colleagues; Robert Eriksson, Adjunct Professor, starting at the Division of Electric Power and Energy Systems (EPE) and Michail Vazirgiannis, Visiting Professor at the Division of Software and Computer System (SCS).

Read more about them and their research below.

Hi Michail Vazirgiannis! Please tell us, what is your area of research?

"My area of research is machine and deep learning for large scale heterogeneous data (especially graphs and text). More specifically in the last years we have been researching community detection, graph classification/clustering/embeddings, influence maximisation, graph-based NLP, deep learning for word embeddings with applications to web advertising and marketing, event detection and summarisation."

What are you most passionate about regarding your area of research?

"Machine and recently deep learning are significant methods to help extracting knowledge from large scale data in all domains. The most interesting and expressive data are graphs that are present in many domains including biology, social networks, power/communication/transport facilities. In this domain the topic that really fascinates me is deep learning on graphs, known as Graph Neural networks. This area is really booming while state of the art is advancing rapidly with promising potential for many real-life applications. Overall AI promises to change our lives significantly and we need to be well prepared to maximise the benefits to society and economy in a balanced manner."

In what way is your area of research interesting for a non-researcher and for the future?

"The methods we are developing are very relevant to different application domains where text and graphs are present. Deep learning in the presence of large-scale data enables extracting the best possible models for different predictive and unsupervised tasks for different domains including bio/medicine, legal documents, social networks, online marketing and advertising, recommendations, retail etc. In the future, many processes in the above domains will be fully automated and mastering algorithms in this case is important." 

Hi Robert Eriksson! Please tell us, what is your area of research?

"My research area is electric power systems where I am particularly interested in stability and operational challenges in the transition towards 100% renewable power systems."

What are you most passionate about regarding your area of research?

"I am most passionate about research that can resolve actual issues where theory and practice can work out together."


In what way is your area of research interesting for a non-researcher and for the future?

"Our society is highly dependent on electricity and the electricity system has to be sustainable. Many challenges have to be resolved in order to have a system that can deliver electricity during all hours in a reliable, sustainable and cost-effective way."