Technology and application areas:
- Machine Learning
- Digital Content
- Smart Cities
Vladimir Krylov is an Assistant Professor in Statistics at Dublin City University. He graduated in Mathematics and Computer Science in 2007 and completed his PhD in Statistics in 2011, both at Moscow State University. After that he has been postdoctoral fellow at INRIA Sophia Antipolis (France), UCL (UK), University of Genoa (Italy), and Trinity College Dublin (Ireland). Vladimir’s research interests span statistical modeling and machine learning as applied to computer vision, remote sensing and signal processing problems. He has worked with medical imaging applications and has been involved in several large remote sensing projects: on urban sustainability monitoring, natural disaster management and asset geolocalization. He is currently involved into a commercialization of an asset discovery and localization technology funded by Enterprise Ireland. He is interested in projects working on monitoring of urban infrastructure for smart cities; identification of optimal locations for 5G deployment.