Vladimir A. Krylov, Ph.D. 


Since 2017 I am Research Fellow with ADAPT Centre and School of Computer Science and Statistics in Trinity College Dublin, Ireland. I am supported by a Marie Skłodowska-Curie COFUND EDGE Senior Researcher Fellowship [my project].

I am currently involved in a Feasibility of Commercialization Study for AIMapITAIMapIT project that proposes a solution for Automatic Detection and Geotagging of Stationary Objects from Street Level Imagery.

I have obtained the “specialist” (M.Sc.) degree in applied mathematics and computer science, and the “candidate of physico-mathematical sciences” (Ph.D.) degree in statistics both from the Lomonosov Moscow State University, Moscow, Russia, in 2007 and 2011, respectively. In 2011-2012 I have been postdoctoral fellow at the ARIANA / AYIN research group at the National Institute for Research in Computer Science and Control (INRIA), Sophia Antipolis, France. In 2012-2013 I have worked as research associate at the Dept. of Statistical ScienceUniversity College London in London, UK. In 2014-2016 I have been research fellow at the Image Processing and Pattern Recognition for Remote Sensing (IPRS) lab, Department of Electrical, Electronic, and Telecommunications Engineering and Naval Architecture (DITEN)University of Genoa, Italy.  

Research interests
  • Statistical methods in pattern recognition and signal processing
  • Machine learning methods, deep learning
  • Bayesian modeling, parameter estimation, hypothesis testing procedures
  • Applications in computer vision, remote sensing and medical image processing

My detailed Curriculum Vitae is presented at the CV page and LinkedIn profile

The complete list of my publications can be found in the Publications page or in my Google Scholar and Scopus profiles.


    Stack B, Custom House Quay, Dublin 1, Ireland
    School of Computer Science and Statistics 
    Trinity College Dublin