Dr.-Ing.  Simon Claus Stock

Dr.-Ing. Simon Claus Stock

  • Engesserstr. 5

    76131 Karlsruhe

Dr.-Ing. Simon Stock

Lebenslauf

  • Geboren Mai 1991 in Aalen, Deutschland
  • Bachelorstudium der Elektro- und Informationstechnik am KIT
    • B.Sc. 2014 am Institut für Anthropomatik und Robotik (H2T)
    • Bachelorarbeit "Environment Perception Using 3D Active Sensing for a Wearable Robot Helmet"
  • Masterstudium der Elektro- und Informationstechnik am KIT
    • Vertiefungsrichtung "Systems Engineering"
    • M.Sc. 2017 bei der Carl Zeiss Meditec Inc. in Dublin Kalifornien
    • Masterarbeit "Fully Automated Acquisition of 3D Optical-Coherence-Tomography Images in the Human Eye"
  • Mitarbeiter am ITIV seit November 2017 
  • Promotion im Januar 2022 „Objectivation of Visual Perception“

Lehre

Betreuung des Labors für angewandte Machine Learning Algorithmen (LAMA)

Forschung

  • Maschinelles Lernen
  • Brain Computer Interfaces (BCI) und Electroencephalography (EEG)
  • Computer Vision
  • Virtual und Augmented Reality
  • Ophthalmologie
  • App-Development in der Medizintechnik

Kollaborationen

  • Massachusetts Institute of Technology; Cambridge, MA, USA
  • David J Apple Laboratory – Heidelberg University Hospital; Heidelberg, Germany
  • Carl Zeiss Meditec, Inc.; Dublin, CA, USA
  • Apic.ai; Karlsruhe, Germany

Betreute abgeschlossene studentische Arbeiten

  • MA: "Simulation Progressiver Augenkrankheiten mittels virtueller Realität"
  • MA: "Objekterkennung mittels Transfer Learning durch Convolutional Neural Networks (CNN): Eine Fallstudie zur automatisierten Mahlzeitenerkennung" (Collaborative MA by two Master-students)
  • BA: "Design and Prototyping of a Virtual Reality Head Mounted Display with Adaptable Vergence and Accommodation"
  • BA: "Instance Segmentation of Objects Close to the User for Improved Perception in Augmented Reality Using Transfer Learning"
  • BA: "Gaze Estimation using Convolutional Autoencoders"
  • MA: "DeepBees: Using Multi-Task Learning for Joint Detection, Pose Estimation and Classification of Pollen Bearing Bees"
  • BA: "Prototyping and Implementation of a Smart Foot Bracelet for Navigation and Guidance Using Haptic Feedback"
  • BA: "Integration of pupil tracking in an ophthalmologic virtual reality application for improved immersion and pupil movement analysis"
  • BA: "Signal processing in Ophthalmology: How the Retina defines what we are seeing"
  • MA: "Highly Parallelized Rendering of the Retinal Image through a Computer Simulated Human Eye"
  • BA: "Rapid Prototyping and Evaluation of a Connected Distributed Load Measurement System"
  • MA: "Real Time Monitoring System for Laser Marking of Polymeric Materials"
  • BA: "Implementierung einer intuitiven Multimediaoberfläche für ein ophthalmologisches VR-Gerät"
  • MA: "Examining the Human Neuro-visual System using Electroencephalography: A Deep Learning Approach towards Objective Perimetry"
  • MA: "An Electroencephalography based System for Objective Refraction and Visual Acuity Assessment using Convolutional Neural Networks"
  • MA: "Ein Ansatz für Maschinelles Lernen in der Produktion: Ein Software-Framework zur Ausführung von künstlichen Neuronalen Netzen in C++"
  • MA: "Adaptive Gesture Control for Automotive Applications with Few-Shot-Learning"
  • MA: "Correction of choroidal and retinal thickness maps using widefield optical coherence tomography"
  • Seminar: "Artifact detection in electroencephalography signals for human brain computer interfaces"
  • MA: "A rapid prototyping approach to EEG electrodes for use in machine learning supported brain computer interfaces"
  • BA: "Exploring visual stimulation for brain-computer interfaces: A comparison of stimulus designs for ssvep-based applications"
  • BA: "Measurement of astigmatism using a SSVEP-based brain-computer-interface"
  • BA: "Comparison of convolutional neural network and canonical correlation analysis in ssvep-based brain-computer interfaces"
  • BA: "Visual re-identification of bumblebees returning from foraging trips"
  • BA: "Closed-loop user-experience in a brain-computer interface for neuro-visual experiments"
  • MA: "A cross-platform approach to brain-computer interfaces for monitoring and device control using augmented reality"
  • BA: "Development of a low-cost open-source electroencephalograph focused on scientific research"
  • MA: "Development of an automatic laser diode lifetime testing setup"
  • BA: "Key classification in music recordings using deep convolutional neural networks"
  • BA: "Detection and classification of higher cognitive functions with SSVEP using a brain-computer interface"
  • BA: "Artifact detection in an EEG-based BCI for the assessment of neuro-visual function"
  • BA: "Using brain computer interface for the recognition and classification of various mental states using neural networks"
  • MA: "Smart Home Raum-Sensor zur Personenverhaltenserkennung"
  • Seminar: "On steady-state visual evoked potential detection in short response time for human brain computer interfaces"
  • Seminar: "Quality assessment and noise estimation of EEG data"
  • BA: "Development of a firmware for an ophthalmologic VR-device towards the treatment of presbyopia by vergence and accommodation training"
  • MA: "Improving user experience and user interface by designing an optimized model for convoaid app"
  • MA: "EEG-based objective ADHD diagnosis using convolutional neural networks"
  • BA: "Investigating cognitive enhancement through binual beats utilizing brain-computer interfaces"

Publikationen


2022
PhD Theses
Journal Articles
Conference Papers
Presentations
2021
Journal Articles
Conference Papers
2020
Conference Papers
2019
Journal Articles
Conference Papers
Presentations
Posters
2018
Conference Papers
2017
Journal Articles
Conference Papers
Posters