Homepage of Vladimir A. Krylov, Ph.D.
I am Assistant Professor in Statistics with the School of Mathematical Sciences at Dublin City University, Ireland. I am also Funded Investigator with the ADAPT Research Centre, Ireland.
IEEE Senior Member; since 2020 I am Associate Editor with IEEE Geoscience and Remote Sensing Letters.
I have been general chair of the 2021 Irish Machine Vision and Image Processing conference IMVIP 2021 hosted at Dublin City University.
I am currently involved as scientific advisor and co-founder in AiMapIt that proposes a solution for Automatic Detection and Geotagging of Stationary Objects from Street Level Imagery:
AI Mapit targets seed funding round to fund global expansion, Irish Times, 26 September 2023.
What Google Maps can’t do – a map for Dublin’s trees, bins and lights, Independent.ie, 16 December 2022.
Prior to this, I have obtained the “specialist” (M.Sc.) degree in applied mathematics and computer science, and the “candidate of physical and 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 Science, University 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. In 2017-2019 I have been senior research fellow with the School of Computer Science and Statistics and the ADAPT Centre in Trinity College Dublin, Ireland, where I held a Marie Skłodowska-Curie COFUND EDGE Fellowship [my project].
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, ORCID and Scopus profiles.
Previously...