Bio


I am a Computational Geophysicist with over 6 years of practical experience (geophysics is a science that studies the Earth using physical principles such as, e.g., acoustic and seismic waves, the computational part implies that in order to analyze the data, required for my research I have to write my own scientific software). I specialize in applications of Deep Learning for Signal Processing.

Honors & Awards


  • Research Grant Award, Google (2020)
  • Research Grant Award, NVidia (2021)

Professional Education


  • Doctor of Philosophy, Universitat Wien (2022)
  • Bachelor of Science, Moscow State University (2015)
  • Master of Science, Norwegian University of Science & Technology (2017)
  • PhD, University of Vienna, Geophysics (2022)
  • MSc, Norwegian University of Science and Technology, Geophysics (2017)
  • BSc, Moscow State University, Geology (2015)

Stanford Advisors


Research Interests


  • Data Sciences
  • Environmental Education
  • Higher Education
  • Research Methods
  • Science Education
  • Teachers and Teaching
  • Technology and Education

All Publications


  • SEDENOSS: SEparating and DENOising Seismic Signals With Dual-Path Recurrent Neural Network Architecture JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Novoselov, A., Balazs, P., Bokelmann, G. 2022; 127 (3)
  • Seismoacoustic Study of Thunder and Lightning Using the AlpArray Seismological Research Letters Novoselov, A., Dorninger, M., Diendorfer, G., Bokelmann, G. 2022

    View details for DOI 10.1785/0220220064

  • Acoustic-to-seismic ground coupling: coupling efficiency and inferring near-surface properties GEOPHYSICAL JOURNAL INTERNATIONAL Novoselov, A., Fuchs, F., Bokelmann, G. 2020; 223 (1): 144-160