Dr. Nima Riahi

Work at ZHAW

Position

Lecturer in statistics and machine learning / project lead R+D

Focus

Advanced Analytics and modelling

Teaching

Lecturer in statistics and machine learning

Professional development teaching

CAS Foundations of AI and Machine Learning

Experience

• Lead Data Scientist
  Sanitas AG
  05 / 2022 - 06 / 2023
• Senior Data Scientist
  SBB CFF FFS
  12 / 2016 - 04 / 2022
• Data Scientist
  IMSD Sàrl
  06 / 2016 - 11 / 2016
• Postdoc
  UC San Diego (CA, USA)
  04 / 2014 - 05 / 2016
• R&D specialist
  Spectraseis AG (geophysical Start-up)
  12 / 2006 - 03 / 2010
• IT und DB Sysadmin, Allrounder
  Riahi Travel GmbH
  03 / 2005 - 09 / 2006

Education and Continuing education

Education

• Dissertation Earth Sciences (Statistics of the seismic background wavefield) / Geophysics
  ETH Zurich
  05 / 2010 - 11 / 2013
• Physics diploma (MSc equivalent) / Physics (acoustics)
  ETH Zurich
  09 / 1999 - 04 / 2004

Network

ORCID digital identifier

ORCID ID: 0000-0003-2011-4761

Projects

• Physics-informed machine learning for measurement error correction in elastomer-based sensor systems / Project leader / completed
• Warehouse Operations / Team member / completed
• DSembedded: Integrating discipline-specific Know How into Data Stewardship / Team member / completed

Publications

Other publications

Drewek, A. et al. (2024) '100 Jahre Sollzeiten - Ein Konzept für die Zukunft?', Logistics Innovation, 2024(1), pp. 10–13.

Publications before appointment at the ZHAW

• K. Loeer, N. Riahi and Erik Saenger (2018); “Three-component ambient noise beamforming in the Parkfield area”; Geophysical Journal International;
• N. Riahi and P. Gerstoft (2015); “Using Graph Clustering to Locate Sources within a Dense Sensor Array”; Signal Processing (Elsevier)
• N. Riahi and P. Gerstoft (2015); “The seismic traffic footprint: Tracking trains, aircraft, and cars seismically”; Geophys. Res. Lett.
• A. U. Gehring and N. Riahi and J. Kind and B. S. G. Almqvist and P. G. Weidler (2014); “The formation of the Namib Sand Sea inferred from the spatial pattern of magnetic rock fragments”; Earth and Planetary Science Letters
• N. Riahi and G. Bokelmann and P. Sala and E. H. Saenger (2013); “Time-lapse analysis of ambient surface wave anisotropy: A three-component array study above an underground gas storage”; Journal of Geophysical Research: Solid Earth
• N. Riahi and A. Goertz and B. Birkelo and E. H. Saenger (2013); “A statistical strategy for ambient seismic wavefield analysis: investigating correlations to a hydrocarbon reservoir”; Geophysical Journal International

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