Curriculum Vitae
Assistant Professor in Statistics [since 2019]
School of Mathematical Sciences at Dublin City University, Dublin, Ireland;
Research: computational statistics, machine learning, methods and applications.
Teaching: statistics, machine learning.
Marie Curie Senior Research Fellow [2018- 2019]
Research fellow [2017- 2018]
Trinity College Dublin, the University of Dublin, Dublin, Ireland;
Topic: Computer vision and machine learning methods and applications.
MSCA topic: GeoObject - Scene Analysis and Object Mapping from Multi-Sensor Data
COFUND EDGE fellowship
Researcher [2014- 2016]
Image Processing and Pattern Recognition for Remote Sensing lab,
Dept. Electrical, Electronic, Telecom. Engineering and Naval Architecture,
University of Genoa, Genoa, Italy;
Topic: "Machine learning for vacant land detection and monitoring from remotely sensed data."
Research associate [2012 - 2013]
with the Department of Statistical Science,
University College London, London, United Kingdom;
Topic: "Multiresolution Markov models in mammograms image processing."
Postdoctoral fellow [2011 - 2012]
Invited PhD-student [10 months during 2008 - 2010]
with ARIANA and AYIN research groups,
National Institute for Research in Computer Science and Control (INRIA), Sophia Antipolis, France;
Postdoc topic: "Multitemporal change detection on high resolution remotely sensed and medical images."
PhD Topic: "Statistical modeling and classification of high resolution synthetic aperture radar imagery.”
Ph.D. degree in statistics [2007 - 2010]
M.Sc. degree in applied mathematics and computer science; honours degree [2002 - 2007]
from Lomonosov Moscow State University, Moscow, Russia;
Ph.D. (candidate of physico-mathematical sciences degree)
Ph.D. thesis: "On some properties of generalized gamma mixtures and their applications."
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M.Sc. (specialist degree)
at Dept. of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics;
M. Sc. topic: "Estimation of a parametric random field model in the problem of texture analysis."
Exchange student [Spring semester 2006]
at the Faculty of Mathematics and Physics, Eberhard Karl’s University of Tuebingen, Germany.
Awards and scholarships
Awarded Marie Sklodowska-Curie COFUND EDGE Fellowship with ADAPT Centre, Trinity College Dublin. Senior Research Fellow funding 2018-2019.
Entrepreneurial lead in NSF I-Corps@SFI Entrepreneurial Training Programme 2018 in conjunction with AIMapIT. SFI grant, March-August 2019, €28,000.
Principal Investigator on Commercial Case Feasibility Support Grant for AIMapIT project from Enterprise Ireland. Duration: April-July 2018, CF-2017-0675-Y. €15,000.
Software solution for Stationary object mapping from street level imagery designed with my contribution (ADAPT, TCD), 2017/18:
shortlisted for IBEC Digital Technology Award Ireland 2017 in category Outstanding Academic Achievement.
shortlisted for AIAwards Ireland 2018 in category Best Contribution To AI – Academic Research Body.
INRIA postdoctoral fellowship 2011-2012.
Awarded Gold medal from Lomonosov Moscow State University for high academic student achievements in 2007.
Graduation project won the third prize at the contest of best graduation works in 2007 (out of 400+) at the faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University.
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 (analysis, preprocessing, classification, change detection, transfer learning) of big volumes of high resolution optical imagery. Participation in multiple project meeting, preparation of reports / deliverables (2014-2017).
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.
Invited talk at ELTA Aerospace Industries, Ashdod, Israel, November 2011.
Further professional activities
Associate Editor at IEEE Geoscience and Remote Sensing Letters since 2020;
Chair at Irish Machine Vision and Image Processing 2021 (IMVIP21) conference
Teaching assistant at Lomonosov Moscow State University, courses of Probability Theory - 24 hours/year, Methods of Mathematical Statistics - 32 hours/year (2007-2010).
Reviewer for scientific journals:
Elsevier Signal Processing [SP] (since 2011);
Elsevier Pattern Recognition Letters [PRL] (since 2011);
Elsevier Digital Signal Processing [DSP] (since 2012);
Elsevier ISPRS Journal of Photogrammetry and Remote Sensing [P&RS] (since 2013);
EURASIP Journal on Advances in Signal Processing, Springer [ASP] (since 2011);
IEEE Transactions on Geoscience and Remote Sensing [TGRS] (since 2008);
IEEE Geoscience and Remote Sensing Letters [GRSL] (since 2009);
IEEE Transactions on Image Processing [TIP] (since 2010);
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [JSTARS] (since 2011);
IEEE Transactions on Signal Processing [TSP] (since 2013);
IEEE Transactions on Pattern Analysis and Machine Intelligence [TPAMI] (since 2017);
IEEE Signal Processing Magazine [SPM] (since 2018);
MDPI Remote Sensing [RS] (since 2015),
Taylor&Francis International Journal of Remote Sensing [IJRS] (since 2015).
Reviewer for conferences: IEEE ICASSP, IEEE ICIP, EUSIPCO, ISPRS congress
Skills
Languages: Russian (native), English (fluent), French (intermediate), Italian (intermediate), German (basic), Romanian (basic).
Programming skills: C/C++, CUDA, Python, MATLAB, Pascal/Delphi, Visual Basic.
Software and tools: OpenCV, LATEX, ENVI, QGIS.
Deep learning: Keras, PyTorch, Caffe, Tensorflow, Matconvnet.