Vladimir A. Krylov – Curriculum Vitae

Contacts

September 2016

Dept. Electrical, Electronic, Telecom. Engineering and Naval Architecture (DITEN) University of Genoa via Opera Pia, 11a, 16145, Genoa, Italy Telephone: +39 010 353 2672 Email: [email protected] Homepage: http://sites.google.com/site/vlkryl/

Personal information Date of birth: 22 July 1985. Citizenship: Russian.

Summary Research interests: include, but are not limited to: statistical methods in pattern recognition and image processing, machine learning, signal processing, medical image processing, remote sensing image processing, applied statistical and probabilistic methods. Publications: 9 papers published in international journals (2 submitted), 1 book chapter (1 submitted), 18 international conference papers. Teaching experience: Student graduation projects supervision (bachelor, master levels) at the University of Genoa; 168 hours of teaching at Moscow State University.

Education and Employment Jul 2014 – currently: Research Fellow Polytechnic School, University of Genoa, Italy. Supervisor : Dr. Sebastiano B. Serpico (Professore Ordinario). Topic: “Machine learning for vacant land detection and monitoring from remotely sensed data”. Funded by EU FP7 Competitiveness and Innovation Framework Programme (EU), URBIS project. Jul 2012 – Nov 2013: Research Associate Dept. of Statistical Science, University College London, UK. Supervisor : Dr. James D. B. Nelson (Senior Lecturer). Topic: “Multiresolution Markov models in mammograms medical image processing”. Funded by EPSRC (UK). Jan 2011 – May 2012: Postdoctoral Fellow ARIANA, AYIN research groups, National Institute for Research in Computer Science and Control (INRIA), Sophia Antipolis, France. Supervisor : Dr. Josiane Zerubia (Directeur de Recherche, 1`ere classe). Topic: “Multitemporal change detection on high resolution remotely sensed images”. Scholarship of INRIA (France). Oct 2007 – Jan 2011: Ph.D. degree (“candidate of science”) in Statistics Dept. of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Russia. Supervisor : Dr. Viktor Matveyev (Associate Professor). PhD title: “On some properties of generalized gamma mixtures and their applications”. Scholarship of Moscow State University (Russia).

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Vladimir A. Krylov – Curriculum Vitae 2008 – 2010: Invited graduate student (several periods, 10 months in total) ARIANA research team, INRIA Sophia Antipolis, France. Supervisor : Dr. Josiane Zerubia (Directeur de Recherche, 1ere classe). Topic: “Statistical modeling and classification of high resolution synthetic aperture radar imagery”. Scholarship of the French Space Agency (France). 2002 – 2007: M.Sc. degree (“specialist”) in Applied Mathematics and Computer Science, honours degree Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Russia. 2006: Exchange student (one semester) Faculty of Mathematics and Physics, Eberhard Karl’s University of Tuebingen, Germany. Exchange scholarship of the University of Tuebingen.

Awards and scholarships • Scholarships: EPSRC 2012, INRIA 2011, CNES 2008–2009, Moscow State University 2007–2010, University of Tuebingen, 2006. • Gold medal of Lomonosov Moscow State University for high academical student achievements, 2007. • The third place prize (out of around 400) at the contest of best graduation works (diplomas) at the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 2007.

Collaborations, projects • Participation in the “Urban Land Recycling Information Services for Sustainable Cities” (URBIS) project funded within the EU FP7 Competitiveness and Innovation Framework Programme (2014–2017). My contribution is the processing (classification, detection, change detection, transfer learning) of big volumes of high resolution optical imagery. Participation in multiple project meeting, preparation of reports / deliverables (2014–2016). • Participation in the “Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures” project (2009–2012) funded by the Italian Space Agency (ASI), principal investigator Prof. S. Serpico, University of Genoa. Project meetings, reports, talks (2009–2011). • Collaboration on very high resolution synthetic aperture radar image processing with the Lab of Information Coding & Transmission, Southwest Jiaotong University, China. Invited visit, talks in 2011. • Collaboration on high resolution synthetic aperture radar image processing with the French Space Agency (CNES) and several presentations at CNES Toulouse in 2008–2009, and CNES Paris in 2010.

Further professional experience • Reviewing for journals: IEEE Transactions of Geoscience and Remote Sensing (since 2008), IEEE Geoscience and Remote Sensing Letters (since 2009), IEEE Transactions on Image Processing (since 2010), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (since 2011), IEEE Transactions on Signal Processing (since 2013), Signal Processing (since 2011), Elsevier Pattern Recognition Letters (since 2011), EURASIP Journal on Advances in Signal Processing (since 2011), Elsevier Digital Signal Processing (since 2012).

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Vladimir A. Krylov – Curriculum Vitae • Teaching assistant at Lomonosov Moscow State University, courses of Probability Theory - 24 hours/year, Methods of Mathematical Statistics - 32 hours/year (2007–2010). • Graduation projects supervision at bachelor and master levels (Computer Science), University of Genoa (2014–2016). • Development of software tools (C++, MATLAB) for classification, segmentation, change detection on various types of imagery (since 2009). • Programming: C/C++, CUDA, MATLAB, Pascal/Delphi, Visual Basic, HTML. Software and tools: Caffe framework, OpenCV, LATEX, ENVI, QGIS. Extensive experience with Windows and Linux-based operating systems. • Languages: – English (fluent), ToEFL iBT 111/120 (taken in 2012); – Russian (native), French (intermediate), Italian (intermediate), German (basic).

Publications International Peer-Reviewed Journals • V. Krylov, G. Moser, S. Serpico, J. Zerubia. “False Discovery Rate Approach to Unsupervised Image Change Detection”. IEEE Transactions on Image Processing. [Impact factor (IF) 3.73, Quartile Q1]. Vol. 25, no. 10. Pp. 4704-4718. 2016. • H.-C. Li, V. Krylov, P.-Z. Fan, J. Zerubia, W. Emery. “Unsupervised Learning of Generalized Gamma Mixture Model with Application in Statistical Modeling of High-Resolution SAR Images”. IEEE Transactions on Geoscience and Remote Sensing. [IF 3.36, Q1]. Vol. 54, no. 4. Pp. 2153-2170. 2016. • V. Krylov, J. Nelson. “Stochastic extraction of elongated curvilinear structures with applications”. IEEE Transactions on Image Processing. [IF 3.62, Q1]. Vol. 23, no. 12. Pp. 5360-5373. 2014. • J. Nelson, V. Krylov. “Textural Lacunarity for semi-supervised Detection in Sonar Imagery”. IET Radar, Sonar & Navigation. [IF 1.14, Q1]. Vol. 8, no. 6. Pp. 616-621. 2014. • A. Voisin, V. Krylov, G. Moser, S. Serpico, J. Zerubia. “Supervised Classification of Multi-sensor and Multi-resolution Remote Sensing Images with a Hierarchical Copula-based Approach”. IEEE Transactions on Geoscience and Remote Sensing. [IF 3.51, Q1]. Vol. 52, no. 6. Pp. 3346-3358. 2014. • V. Krylov, G. Moser, S. Serpico, J. Zerubia. “On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation”. IEEE Transactions on Image Processing. [IF 3.11, Q1]. Vol. 22, no. 10. 2013. • A. Voisin, V. Krylov, G. Moser, S. Serpico, J. Zerubia. “Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model”. IEEE Geoscience and Remote Sensing Letters. [IF 1.81, Q1]. Vol. 10, no. 1. Pp. 96-100. 2013. • V. Krylov, G. Moser, S. Serpico, J. Zerubia. “Supervised High-Resolution Dual-Polarization SAR Image Classification by Finite Mixtures and Copulas”. IEEE Journal of Selected Topics in Signal Processing. [IF 2.88, Q1]. Vol. 5, no. 3. Pp. 554–566. 2011. • V. Krylov, G. Moser, S. Serpico, J. Zerubia. “Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data”. IEEE Geoscience and Remote Sensing Letters. [IF 1.56, Q1]. Vol. 8, no. 1. Pp. 148–152. 2011.

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Vladimir A. Krylov – Curriculum Vitae Book chapters • V. Krylov, G. Moser, S. Serpico, J. Zerubia. “Probability Density Function Estimation for Classification of High Resolution SAR Images”. Signal Processing for Remote Sensing. Second edition. Edt. C.H. Chen. Pp. 339–363. CRC Press, 2012. Recent International Conference Proceedings • V. Krylov, M. de Martino, G. Moser, S. Serpico. “Large Urban Zone classification on SPOT-5 Imagery with Convolutional Neural Networks”, IEEE Geosci and Remote Sens Symp IGARSS 2016, Jul. 2016. • F. Crismer, G. Moser, V. Krylov, S. Serpico. “Unsupervised Change Detection on Synthetic Aperture Radar Images with Generalized Gamma Distribution”, IEEE Geosci and Remote Sens Symp IGARSS 2016, Jul. 2016. • V. Krylov, J. Nelson. “Line Extraction via Phase Congruency with a Novel Adaptive Scale Selection for Poisson Noisy Medical Images”, Comp. Vision and Medical Image Process. VipIMAGE 2015, Oct. 2015. • G. Moser, V. Krylov, M. de Martino, S. Serpico. “The URBIS Project: Vacant Urban Area Classification and Detection of Changes”, Joint Urban Remote Sens. Event JURSE 2015, Mar. 2015. • V. Krylov, J. Nelson. “Fast road network extraction from remotely sensed images”, Adv. Concepts Intelligent Vision Syst. ACIVS 2013, Oct. 2013. • V. Krylov, G. Moser, S. Serpico, J. Zerubia. “False discovery rate approach to image change detection”, IEEE Int’l Conf. on Image Process. ICIP 2013, Sep. 2013. • V. Krylov, S. Taylor, J. Nelson. “Stochastic extraction of elongated curvilinear structures in mammographic images”, Int’l Conf. on Image Analysis and Recogn. ICIAR 2013, Jun. 2013. • V. Krylov, G. Moser, A. Voisin, S. Serpico, J. Zerubia. “Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test”, IEEE Int’l Conf. on Image Process. ICIP 2012, Sep. 2012. • A. Voisin, V. Krylov, G. Moser, S. Serpico, J. Zerubia. “Classification of Multi-Sensor Remote Sensing Images Using an Adaptive Hierarchical Markovian Model”, Europ. Signal Process. Conf. EUSIPCO 2012, Aug. 2012. Other publications – submitted journal papers (2), book chapters (1); – earlier international conference proceedings (9); – national peer-reviewed journal papers (3); – national conference proceedings (4); – technical reports (4). Full list of publications (with pdfs) is available at http://sites.google.com/site/vlkryl/publications.

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