Summary
Overview
Work History
Education
Skills
Publications
Timeline
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Pouya Hedayati

Pouya Hedayati

Munich,BY

Summary

AI and radar specialist with a PhD in deep learning for remote sensing. Over six years of experience (since 2017) developing short- and medium-range radar systems and AI-driven safety functions for autonomous vehicles. Expertise spans radar sensor optimisation, risk-assessment modelling, and advanced neural-network design. Demonstrated leadership and innovation as a university researcher, co-founder of a start-up and AI engineer. Fluent in German and English.

Overview

11
11
years of professional experience

Work History

AI & Radar Specialist

BMW (on Assignment Through Bertrandt)
05.2024 - 03.2025
  • Develop and optimise short- and medium-range radar sensors and AI-driven safety functions for autonomous vehicles.
  • Build risk-assessment models and automate KPI analysis to ensure sensor compliance with Level-3 safety standards.
  • Collaborate with cross-disciplinary teams to integrate radar data into autonomous-driving systems and enhance performance.
  • Via ARRRK Engineering GmbH, May 2024–Mar 2025; via Bertrandt, Apr 2025–Present

Development Engineer & Sensor Expert

ARRK Engineering GmbH
10.2022 - 04.2024
  • Analysed radar-sensor data and designed AI-based test plans to improve autonomous-driving performance and safety.
  • Developed sensor-performance models for safety scenarios and introduced risk-assessment metrics for Level-3 driving.
  • Worked closely with BMW’s engineering teams, using tools such as Carmen and RAT to evaluate and enhance radar systems.

Co-Founder & Machine Learning Engineer

CORAmaps GmbH
11.2019 - 09.2022
  • Co-founded a research-transfer start-up; led development of machine-learning algorithms for agricultural and urban monitoring via satellite imagery.
  • Designed anomaly-detection and change-detection models using CNNs, RNNs and GANs.
  • Managed a small team, oversaw product development, and secured research funding.

Research Engineer & Teaching Assistant

TU Darmstadt
03.2017 - 09.2019
  • Conducted research on deep-learning methods for land-cover classification using remote-sensing data.
  • Assisted in courses on Image Analysis, Image Processing and Remote Sensing for Bachelor and Master students.

Working Student & Surveying Internships

TU Darmstadt
07.2014 - 03.2017
  • Supported academic research through data labelling, algorithm testing, and result visualisation.
  • Completed technical surveying tasks and drafting during internships.

Education

Ph.D. - Geodesy & Remote Sensing

TU Darmstadt
Darmstadt
06-2024

M.Sc. - Geodesy and Geoinformation

TU Darmstadt
01.2017

B.Sc. - Civil Engineering (Surveying)

Islamic Azad University
10-2012

Skills

  • AI & Deep Learning: CNNs, RNNs, GANs; TensorFlow, Keras, PyTorch
  • Radar Systems & Signal Processing: short- and medium-range radar development, sensor fusion
  • Risk-Assessment Algorithms & Safety Functions: Level-3 autonomous-driving KPI modelling
  • Programming: Python, C, MATLAB/Simulink, R
  • Tools & Platforms: Carmen, RAT, SNAP, SARScape, ArcGIS, QGIS, ENVI
  • Leadership & Collaboration: start-up co-founder, cross-functional team coordination
  • Languages: German (C2), English (C1), Persian (native), Arabic (A2)

Publications

  • “Fusion of Sentinel-1 and Sentinel-2 Images for Classification of Agricultural Areas Using a Novel Approach” (2018).
  • “Intelligente Raumbeobachtung” (2021, co-author).

Timeline

AI & Radar Specialist

BMW (on Assignment Through Bertrandt)
05.2024 - 03.2025

Development Engineer & Sensor Expert

ARRK Engineering GmbH
10.2022 - 04.2024

Co-Founder & Machine Learning Engineer

CORAmaps GmbH
11.2019 - 09.2022

Research Engineer & Teaching Assistant

TU Darmstadt
03.2017 - 09.2019

Working Student & Surveying Internships

TU Darmstadt
07.2014 - 03.2017

M.Sc. - Geodesy and Geoinformation

TU Darmstadt

Ph.D. - Geodesy & Remote Sensing

TU Darmstadt

B.Sc. - Civil Engineering (Surveying)

Islamic Azad University

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