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]

ADAPT Centre

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.