Narges D.

Research Assistant

Munich, Germany

Experience

Aug 2024 - Jun 2025
11 months
Munich, Germany

Research Assistant

Munich University of Applied Sciences

  • Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.
  • Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.
  • Technology: Python, Feature Extraction, Hugging Face Transformers, Prompt Engineering, Flask, Tornado, HTML/CSS.
Dec 2023 - Apr 2024
5 months
Germany

Software Developer

Bertrandt Engineering Office GmbH

  • Developed and implemented deep learning models for anomaly detection in time series data in collaboration with BMW.
  • Technology: Python, TensorFlow, PyTorch.
Mar 2023 - Jul 2023
5 months
Germany

Internship, Part-time

Expleo

  • Worked on the Safe2P research project focused on increasing pedestrian safety and automated parking through localization and object detection using radar, LiDAR, and camera data.
  • Technology: Python, TensorFlow, PyTorch, ROS, Git, ISO 26262.
Apr 2022 - Mar 2023
1 year
Germany

Master's Thesis Student, Department EF-602

Bavarian Motor Works AG (BMW)

  • Title: Segmentation and Classification Machine Learning Techniques Applied to Automotive Radar Data.

  • Abstract: By accumulating detections from multiple radar cycles, generated a rich point cloud of the environment. Applied image processing and machine learning techniques to extract information about small or uniquely shaped objects (e.g., infrastructure, traffic lights, Europallets) not identifiable by mainstream radar algorithms.

  • Additionally, the codebase complies with Failure Mode and Effects Analysis (FMEA) standards.

  • Supervisors: Professor Thomas Brox, Dr. Anastasios Deligiannis.

  • Technology: Python, TensorFlow, PyTorch, RAT Tool, Git.

Oct 2021 - Apr 2022
7 months
Germany

Internship, Department EP-620

BMW

  • Contributed to the implementation and optimization of FMVSS201u-related models, exploring different neural network architectures and pre-trained models.
  • Focused on enhancing model accuracy and investigating alternative coding strategies.
  • Technologies: Python, PyTorch, TensorFlow, OpenCV, CNNs.
Nov 2020 - Mar 2021
5 months
Freiburg im Breisgau, Germany

Research Assistant, Machine Learning Lab

University of Freiburg

  • Implemented a variational autoencoder (VAE) for the classification of sequencing data.
  • Translated the initial Python implementation into Julia during the first phase of the project.
  • Technology: Python, Julia.
Oct 2020 - Nov 2020
2 months
Freiburg im Breisgau, Germany

Achievement, Deep Learning Course

University of Freiburg

  • Received third place in a classification challenge as part of the Deep Learning course at the University of Freiburg. Trained a model to classify images from a flower dataset with two competition tracks: a Fast-track (100k parameters) and a Large-track (25 million parameters).
  • Accuracy: 95.0
  • Technology: Python 3, TensorFlow, PyTorch.
Oct 2012 - Jan 2013
4 months
Isfahan, Iran, Islamic Republic of

Research Assistant

Research Assistant

  • Designed and implemented a robot path planning system capable of detecting white and black surfaces.
  • Optimized the system to balance speed with the ability to navigate curves without leaving the track, minimizing fundamental errors along a three-meter path.
  • Technology: Chassis, 16 pin chip, Single-chip computer (MCU), IR sensors, C++.
Apr 2011 - Jul 2011
4 months
Iran, Islamic Republic of

Research Assistant

Microsystem Laboratory, Azad University of Najaf Abad

  • Implemented an automatic door system using CodeVision and Proteus.
  • Detected approaching individuals with CW radars, triggering a positive signal that changed the state of the door via microcontroller.
  • Technology: CodeVision, Proteus.

Summary

I am seeking a full-time position to apply my skills and expand my knowledge through real-world projects.

Languages

Persian
Native
English
Advanced
German
Intermediate

Education

Oct 2018 - Mar 2023

University of Freiburg

M.Sc. · Embedded Systems Engineering · Freiburg im Breisgau, Germany · 2.6

Sep 2010 - May 2014

Azad University of Najaf Abad

B.Sc. · Electrical Engineering - Electronics · Isfahan, Iran, Islamic Republic of · 1.4

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