Aleksei Shpilman

Biography

Graduated from School of Bioinformatics and Bioengineering of Lomonosov Moscow State University in 2010.

Professional Activity

Head of Machine Learning and Data Analysis Department. Lecturer at Bioinformatics Institute and Computer Science Center.

Academic Advising

Supervising Bachelors, Masters and PhD projects at Saint Petersburg Academic University.

Publications

  • A. Gaydashenko, D. Kudenko, A. Shpilman
    A comparative evaluation of machine learning methods for robot navigation through human crowds
    ICMLA, December 2018
  • A. Malysheva, D. Kudenko, A. Shpilman
    Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data
    ICARCV, November 2018
  • I. Sosin, D. Kudenko, A. Shpilman
    Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation
    ICARCV, November 2018
  • Timofey Bryksin, Evgenii Novozhilov, and Aleksei Shpilman
    ASE Workshops, September 2018
  • A. Malysheva, A. Shpilman, D. Kudenko
    Workshop on Adaptive and Learning Agents (ALA) at ICML-AAMAS, July 2018
  • T. Bryskin, A. Shpilman, D. Kudenko
    AAAI Workshop on Natural Language Processing for Software Engineering, February 2018
  • A. Shpilman, D. Boikiy, M. Plyakova, D. Kudenko, A. Burakov, E. Nadezhdina
    Sixteenth International Conference on Machine Learning and Applications (ICMLA), December 2017
  • Shpilman A.A., Chudinova E.V., Lubitelev A., Ivanov P.A. Nadezhdina E.S.
    Investigation on Dependence of Stress Granules Formation on Microtubule Network Parameters and Stress Agent Concentration Through Numerical Model
    V ICMBB, 2014
  • Shpilman A., Shudinova E., Ivanov P., Nadezhdina E.
    Dependence of stress granule formation on microtubules supports the idea of stress granule specific “glue” arising in stress conditions
    54th Annual Meeting of the American Society for Cell Biology, 2014
  • Primako E.M., Shpilman A.A.
    Using Quazi-3D Approach for Microtubule Self-Organization Model
    V ICMBB, 2014
  • Chudinova E.M., Shpilman A.A., Lubitelev A.V., Ivanov P.A., Nadezhdina E.S.
    Role of Microtubules in Formation of Stress Granules
    AIPRC, 2013
  • Brodsky I.B., Burakov A.V., Zhapparova O.N., Ivanov P.A., Fokin A.I., Chudinova E.M., Shanina A.N., Shpilman A.A., Nadezhdina E.S.
    Molecules that Organize Cell Microtubule Systems and Why are They Doing It
    III SCBM, 2012
  • Nadezhdina E.S., Lomakin A.J., Shpilman A.A., Chudinova E.M., Ivanov P.A.
    Microtubules govern stress granule mobility and dynamics, Biochimia Biophysica Acta
    Biochimia Biophysica Acta, 2010
  • Shpilman A.
    Simple Computer Model Shows Posibility of Non-Motor Microtubule Binded Gradient Transport
    49th Annual Meeting of the American Society for Cell Biology, 2009
  • Shpilman A.A, Nadezhdina E.S.
    In silico vs in vitro: Mimitation v1.0 program allows to predic morphological and dynamic changes of tubulin cytoskeleton caused by microtubule stabilization
    Biological Motility: Achievements and Perspectives, 2008
  • E.V. Usova, A.V.Burakov, A.A. Shpilman, E.S. Nadezhdina
    Disturbance of the Radial System of Interphase Microtubules in the Presence of Excess Serum in Cell Culture Medium
    Biophysics, 2008
  • Shpilman A., Nadezhdina E.S.
    Imitational Modeling of Cytoskeleton: Dynamics, Differentiation, Active Transport and Membrane Interactions
    48th Annual Meeting of the American Society for Cell Biology, 2008
  • Shpilman A.A.
    Stochastic Modeling of Microtubule Systems
    I ICMBB, 2006
  • А.А. Shpil’man and E.S. Nadezhdina
    Stochastic Computer Model of the Cell Microtubule Dynamics
    Biophysics, 2006
  • Shpilman A.A., Nadezhdina E.S.
    Computational Stochastic Modeling of Cellular Microtubule Network
    46th Annual Meeting of the American Society for Cell Biology, 2006