Mojtaba Raouf
Scholar

Mojtaba Raouf

Google Scholar ID: gjqjvB8AAAAJ
Senior Researcher @ Space Engineering TU Delft and Leiden observatory
CubeSatGalaxy FormationAGN feedbackKinematicsPlanetary Exploration
Citations & Impact
All-time
Citations
632
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • - Publications: Raouf et al. (2023), Raouf et al. (2017), Raouf et al. (2019), Raouf et al. (2019b).
  • - Projects: Moppex project.
Research Experience
  • - Hydrodynamic Simulation - HDGAS: Investigating the chemical evolution of the interstellar medium (ISM) gas influenced by active galactic nuclei (AGN) feedback.
  • - Radio-SAGE: Modeling radio active galactic nuclei (AGN) in a cosmological context and tracking the physical properties of radio jets in galaxies.
  • - Stellar Population: Studying the stellar population of galaxies in different dynamical halo states using GAMA, GALEX, and WISE galaxy surveys.
  • - Spectral Analysis - Moon Mineralogy - SPECTEK: Using a hyperspectral imaging system to capture detailed spectral and spatial information about the Moon's surface and employing machine learning techniques for mineral identification and mapping.
  • - Neural Network: Demonstrating the advantages of using neural networks over conventional numerical chemistry solvers in hydrodynamic simulations.
Education
  • No detailed educational background information provided.
Background
  • Data Scientist, Astrophysicist; Research interests include simulation & modeling, machine learning (spectral analysis), and the HDGAS project.