Vlado Menkovski

Vlado Menkovski (PhD in 2013) is Assistant Professor at Eindhoven University of Technology. His research focus is on Machine Learning for Scientific Discovery and Engineering. Particularly analysis of high dimensional data such as images and sequences with Deep Neural Network models. He studies methods that aim at efficient Deep Learning with respect to the amount of expert supervision, and Deep Generative Models for simulation and parameter estimation. The background of Vlado Menkovski also includes a tenure at Philips Research as a Research Scientist involving work in Deep Learning for Medical Image Analysis in Digital Histopathology and Interventional Radiology as well as modelling other high dimensional data sources from patient monitoring devices such as ECG and EEG and genomics data. Vlado Menkovski holds a PhD degree (Cum Laude) from Eindhoven University of Technology. He has co-authored over 50 peer-reviewed publications in various journals and conferences on a range of Machine Learning topics and has 4 granted patents.