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ORCID: 0000-0002-2040-3427
ResearcherID: L-5441-2015
Scopus AuthorID: 6701728425
Google Scholar
A. P. Kuleshov
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Vladimir Spokoiny

  • Vladimir Spokoiny has been at HSE since 2015.

Education, Degrees and Academic Titles

  • 2002
  • 1992

    Doctor of Sciences*

  • 1988

    Candidate of Sciences* (PhD)

  • 1981

    Moscow Institute of Engineers of Railroad Transport

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Student Term / Thesis Papers

Full list of of student term / thesis papers

Courses (2015/2016)

Modern Parametric Statistics (Master’s programme; Faculty of Computer Science; programme "Mathematical Methods of Optimization and Stochastic"; 1 year, 3, 4 module)



2011–// Megagrant of Russian Governement, 150M RUB

2013-2016 International Research Training Group “High Dimensional Non Stationary Time Series”, (1 PhD position); 2012–2015 DFG Research Unit 1735 “Structural Inference in Statistics: Adaptation and Efficiency”. (1 PostDoc position);

2002–2014 DFG Forschungszentrum “Mathematic for Key Technologies”, Project A3 “Image and signal processing in medicine and biosciences” (1 PostDoc position);

2002–2014 DFG Forschungszentrum “Mathematic for Key Technologies”, Project E5 “Applied Mathematical Finance” (2 PhD position).

2005–2016 DFG Collaborative Research Center 649 “Economic risk” Project B5 “Structure adaptive data analysis” (1 PostDoc position).

2001–2006 DFG-Priority Program 1114 “Mathematical methods for time series analysis and digital image processing”, Project “Structural adaptive smoothing procedures with applications in imaging and functional MRI” (1 PostDoc position).

2000–2003 BMBF-F¨orderprogramm“ Neue Mathematische Verfahren in Industrie und Dienstleistung”. Project “Efficient Methods for Evaluation of Risk” joint with Bankgesellschaft Berlin AG, (2 PhD position). 2000–2004 Berliner Graduiertenkolleg “Stochastic Processes and Probabilistic Analysis”. (1 PhD position).

1993–2003 SFB 373 “Quantification and Simulation of “Economic Processes”, Humboldt Universit”at zu Berlin; project B1 (2.5 PhD position). Industry grants 2006–2007 WGZ Bank D¨usseldorf (1 PhD position)

2007–2010 Landesbank Berlin (1 PhD position). 2007–2014 Nordbank Hamburg–Kiel (1 PhD position). Offers 1999 Purdue University, Full professorship, declined 1999 W¨urzburg Universit¨at, Lehrstuhl, C4, declined 2000 Wien Universit¨at, ordentliche Professur, declined 3 2001 Humboldt Universit¨at zu Berlin, S-Professur, accepted 


Organizer and Member of Programm Committee of various conferences and workshops.
Chair for various sessions of conferences and workshops


Employment history

Professional Career
10.1981{9.1984 Researcher. All-Union Institute of Railway Transport, Moscow,
10.1988{4.1990 Senior researcher. All-Union Institute of Railway Transport,
Moscow, Russia.
5.1990{// Senior researcher. Institute for Information Transmission Problems,
Russian Academy of Sciences.
Bolshoj Karetnyj 19, Moscow, Russia.
10.1993{3.1997 Senior researcher. Institute for Applied Analysis and Statistics.
Mohrenstrae 39. 10117 Berlin, Germany.
4.1997{9.1998 Associate Professor. Humboldt University.
Unter den Linden 6, 10099, Berlin, Germany.
10.98{03.99 Senior researcher. Institute for Applied Analysis and Statistics,
Mohrenstr. 39, 10117 Berlin, Germany.
04.99{03.00 Professor, University of Wurzburg, Sanderring 2, 97070 Wurzburg,
04.00{// Head of Research Group, Weierstrass-Institute, Mohrenstr. 39, 10117
Berlin, Germany.
01.2002-// Professor at the Humboldt University, Berlin.
03.2013{// Professor at the Lomonoso University, Moscow.
04.2013{// Professor at the University of Physics and Technology, Moscow.

Timetable for today

Full timetable

‘Our Programme Aims to Make a Research Breakthrough at the Intersection of Mathematics and Computer Science’

In 2017, the HSE Faculty of Computer Science and Skoltech are opening admissions to the Master’s programme inStatistical Learning Theory, which will become the successor to theMathematical Methods of Optimization and Stochastics programme.Vladimir Spokoiny, the programme’s academic supervisor and professor of mathematics at Humboldt University in Berlin, told us about the research part of the new programme and the opportunities it offers to both Master’s students and undergraduate students alike.

Conference & School ‘Information Technology and Systems 2015’ Took Place in Sochi

The 39th interdisciplinary school and conference ‘Information Technology and Systems 2015’ (ITaS 2015), organized by the Kharkevich Institute for Information Transmission Problems (IITP RAS) with the participation of HSE, took place in Sochi from September 7–11, 2015.