Helen Schneider, M.Sc.

Helen Schneider, M.Sc.

Hi I'm Helen and I studied Industrial Engineering and Management at the KIT from 2013 to 2020 with a focus on Logistics and Machine Learning. Subsequently, I was a Consultant and Software Engineer. Since July 2022, I am a research scientist as part of the research group Applied Technical Cognitive Systems (ATKS). My focus is on capturing and enhancing user experience in autonomous vehicles.
 

Open Hiwi Positions

Administrative Support for Field-Studies (start: September 2025)

  • Assist in preparing automatic e-mail replies and registration for participants of field-studies
  • Assist in formulating applications for ethics commition, data protection and data security

Machine Learning Developer using Python (start: 01. July 2025)

  • Evaluate collected feedback and heartrate-data during ride with autonomous vehicle
  • Automated emotion recognition using cameras in autonomous vehicles


If you are interested in a Hiwi position in one of these fields, just send me an e-mail with your CV, your grades, and two sentences, why you are interested in the position.
 

Teachings

 

WS 24/25

  • Masterarbeit  Evaluation of Low-Budget EEG-Devices in Human-Machine-Interaction
  • Leitung Seminar Maschinelles Lernen Master
  • Leitung Praktikum Kognitive Automobile und Roboter Master
  • Praktikum Kognitive Automobile und Roboter Master - Smartphone-Based Head-Pose Recogition in the Wild
  • Seminar Programmieren 3 Bachelor - Conversational Agent: Implementation of an Agent-Based RAG open-source Large Language Model Interface

SS 24

  • Bachelorarbeit SAMotion - Self Assessment Manikin in Motion
  • Leitung Seminar Maschinelles Lernen Master
  • Leitung Praktikum Maschinelles Lernen Master
  • Praktikum Maschinelles Lernen Master - EEG-Based Passenger Concentration Classification in Autonomous Driving using Machine Learning

WS 23/24

  • Bachelorarbeit Herzfrequenz im Kontext von Mensch-Roboter-Interaktionen
  • Bachelorarbeit Time-based EEG-Data for Sentiment Analysis on the Example of Passengers in Autonomous Vehicles
  • Übungsleitung Programmieren 1: Java
  • Seminar Programmieren 3 Bachelor - Automated Extraction of Exam Information: An Image to Text Program for Efficient Student and Score Recognition
  • Praktikum Kognitive Automobile und Roboter Master - CAGE: Circmumplex Affect Guided Expression Inference

SS 23

  • Bachelorarbeit User Experience im autonomen Fahren mit Visualisierungen verbessern: Eine Feldstudie
  • Übungsleitung Programmierung kommerzieller Systeme - Anwendungen in Netzen mit Java
  • Praktikum Maschinelles Lernen Master - Computer Vision: Emotion Recognition in Human-Machine-Interaction
  • Praktikum Teamprojekt Softwareentwicklung - Head-up-Display im (virtuellen) autonomen Fahren für ein verbessertes Benutzererlebnis

WS 22/23

  • Übungsleitung Programmieren 1: Java
  • Seminar Programmieren 3 Bachelor - Call and Ride App in Miniaturumgebung für Anki Vector
  • Seminar Maschinelles Lernen Master
  • Praktikum Teamprojekt Softwareentwicklung - Head Up Display in Automated Vehicles

 

Forschungsgebiete
Deep Learning, Trustworthy AI