Andrey Khokhlov
Data Science

Andrey Khokhlov

Current position
Chief Researcher
Skills
C/C++
OpenGL
LATEX
MS Visual Studio
GNU Optimizing Compilers
Sun OS
Linux

ABOUT

After getting his Ph.D. in Algebraic Topology in 1984 Andrey worked in several scientific and/or teaching organisations, among them are the Russian Academy of Sciences, Moscow State University, and Baumann Technology University. The Scientific advising of the graduate and thesis students was part of his activities, not only in Russia, but also in France.

Andrey’s main results in science are linked with geophysical data processing, so naturally his teaching interests are now concentrated in the applied methods of Statistics and their algorithmic implementations. He currently helps his students avoid some common errors within the probabilistic inferences and support their attempts to study Probability and Statistics theory in general.

EXPERIENCE

Invited Professor
Bauman University of Technology
2018 - Present | Moscow, Russia

Chief Researcher
Inst. Earthquake Predict. Theory, Russian Acad. Sciencesy
1991- Present | Moscow, Russia

Professor
Moscow State University
1999 - Present | Moscow, Russia

Professor
IPGP
1992 - Present | Paris, France

Professor
ICTP
1993, 2002,2003,2004 | Trieste, Italy

Assistant Professor
Moscow Inst. Electronics and Automatics
1983-1986 | Moscow, Russia

Lecturer
Moscow Inst. Electronics and Automatics
1986-1990 | Moscow, Russia

EDUCATION

Moscow State University
Master Degree in Mathematics
1975 – 1980 | Moscow, Russia

Moscow State University
Ph.D in Mathematics
1984 | Moscow, Russia

Russian Academy of Science
Doctor of Physics and Mathematics
2002 | Russia

SELECTED PUBLICATIONS

  • On the Morava K-theories.
    Lect. Notes Math, v.1061, Springer.
    1983

  • On the Backus Effect I
    Geophys. J. Int.
    1977

  • An Analysis of the Geomagnetic Field Over the Past 2000 Years.
    Phys. Earth Planet. Inter.
    1998

  • Small Values of the Maximum for the Integral of Fractional Brownian Motion
    Journal of Statistical Physics.
    2004

  • Classification of Harmonic Functions in the Exterior of the Unit Ball
    Math. Notes
    2004

  • Statistical paleomagnetic field modeling and dynamo numerical simulation
    Geophys. J. Int
    2005

  • Testing statistical palaeomagnetic field models against directional data affected by measurement errors
    Geophys. J. Int
    2006

  • On implementation of a blowing-up tornado type of a complex 3D Navier-Stokes system
    Russian Mathematical Survey
    2009

  • Palaeointensity and Brunhes palaeomagnetic field models
    Geophys. J. Int
    2015

  • Converting a Maximum Angular Deviation (MAD) into an α95 angle
    Geophys. J. Int
    2016

  • On the cause of the non-Gaussian distribution of residuals in geomagnetism
    Geophys. J. Int
    2017

  • Analysis of the hypothesis of a giant gaussian process as a means for describing secular variations of the geomagnetic field vector
    Izvestiya, Physics of the Solid Earth
    2019

FAQ
Request free information about Harbour.Space
1 minute to complete and fast response time

Thank you!
We call soon
Keep an eye out for an activation email in your inbox. Once you’ve followed the link in our email.
Done
Log in

Forgot your password?

New To Harbour.Space?
I Already Have An Account
Registration
Create an account to get the access to the application process and more.

Password recovery
Enter your email and we’ll get back to you right away.
Thank you.
You're almost there.
Keep an eye out for an activation email in your inbox. Once you’ve followed the link in our email, you're all set.
Success!
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt.