Skills

Methods, tools and engineering practice

A multidisciplinary toolkit for research that moves between mathematical models, data, software and physical systems.

01

Artificial intelligence

  • Deep learning
  • LSTM
  • CNN
  • LLM-oriented agents
  • Diagnosis and prognosis
02

Programming & data

  • Python
  • R
  • SQL / PL-SQL
  • MATLAB
  • C / C++ / C#
  • Java
03

Systems & research

  • Complex systems modelling
  • MBSE
  • Requirements engineering
  • Risk analysis
  • Verification & validation
  • R&D project management
04

Spatial & simulation

  • Remote sensing
  • QGIS / ArcGIS
  • CFD
  • Finite element methods
  • MATLAB / Simulink
  • Trimble Quadri

Languages

English · French · Persian