Dr.-Ing. Simon Claus Stock
- Wissenschaftlicher Mitarbeiter
- Gruppe: Prof. Stork
- Raum: 228
CS 30.10 - Tel.: +49 721 608-41316
- simon stock ∂does-not-exist.kit edu
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"
Titel | Typ | Datum |
---|---|---|
Apps als ein Medizinprodukt | Bachelor-/ Masterarbeit | ab 03 / 2023 |
Using Brain-Computer Interfaces for Human Vision Research (Nutzung von Gehirn-Computer-Schnittstellen zur Erforschung des menschlichen Sehens) | Masterarbeit | ab 03 / 2023 |
METIS NEUROTEC - Mit KI gegen Demenz | Bachelor-/ Masterarbeit | ab 03 / 2023 |
Publikationen
2023
Proceedingsbeiträge
-
End-to-End Deep Learning for Stress Recognition Using Remote Photoplethysmography
Zhou, K.; Schinle, M.; Weimar, S.; Gerdes, M.; Stock, S.; Stork, W.
2023. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1435–1442, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BIBM55620.2022.9995577
2022
Dissertationen
-
Objectivation of Visual Perception. Dissertation
Stock, S.
2022, Februar 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000142511
Zeitschriftenaufsätze
-
Digital Health Apps in the Context of Dementia: Questionnaire Study to Assess the Likelihood of Use Among Physicians
Schinle, M.; Erler, C.; Kaliciak, M.; Milde, C.; Stock, S.; Gerdes, M.; Stork, W.
2022. JMIR Formative Research, 6 (6), Art.-Nr.: e35961. doi:10.2196/35961
Proceedingsbeiträge
-
Development of a self-learning automotive comfort function: an adaptive gesture control with few-shot-learning
Stang, M.; Stock, S.; Müller, S.; Sax, E.; Stork, W.
2022. 2022 International Conference on Connected Vehicle and Expo (ICCVE), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVE52871.2022.9742989
Vorträge
-
METIS - A Holistic Medical Treatment Platform for Dementia Risk Factor Interventions
Stock, S. C.
2022, Dezember 2. Japanese-German-Polish Workshop on AI Applications for Dementia - Machine Learning, Robotics and Health Neuroscience Approaches for Aging Societies (2022), Tokio, Japan, 2. Dezember 2022 -
AI for Health - From University to the Real World
Stock, S.
2022, Oktober 28. 3rd Japanese-German-French AI symposium “AI for Planetary Challenges in the Anthropocene” (2022), Tokio, Japan, 27.–28. Oktober 2022
2021
Zeitschriftenaufsätze
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Evaluation of Innovative SSVEP Stimulation Patterns for Neuro-Ophthalmology
Stock, S.; Gerdes, M.; Schinle, M.; Veloso de Oliveira, J.; Hauptmann, L.; Martini, L.; Stork, W.
2021. Investigative Ophthalmology & Visual Science, 62 (8), 2391–2391
Proceedingsbeiträge
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A Decision Process Model for De-Identification Methods on the Example of Psychometric Data
Schinle, M.; Erler, C.; Leenstra, S.; Stock, S.; Gerdes, M.; Stork, W.
2021. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICECCME52200.2021.9591139 -
MMAI - Mobile Moods AI; Electroencephalography Artifact Detection; Towards Objective Assessment of Mental States
Stock, S.; Mazura, F.; De La Torre, F. G.; Gerdes, M.; Schinle, M.; Stork, W.
2021. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 01–06, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICECCME52200.2021.9590972
2020
Proceedingsbeiträge
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QUA³CK - A Machine Learning Development Process
Stock, S. C.; Becker, J.; Grimm, D.; Hotfilter, T.; Molinar, G.; Stang, M.; Stork, W.
2020. Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019), 026, Scuola Internazionale Superiore di Studi Avanzati (SISSA). doi:10.22323/1.372.0026 -
Bumblebee Re-Identification Dataset
Tausch, F.; Stock, S.; Fricke, J.; Klein, O.
2020. IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020, Snowmass Village, CO, 1 March 2020 through 5 March 2020. Proceedings, 35–37, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WACVW50321.2020.9096909 -
Deepbees - Building and scaling convolutional neuronal nets for fast and large-scale visual monitoring of bee hives
Marstaller, J.; Tausch, F.; Stock, S.
2020. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 271–278, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVW.2019.00036 -
A system approach for closed-loop assessment of neuro-visual function based on convolutional neural network analysis of EEG signals
Stock, S. C.; Armengol-Urpi, A.; Kovács, B.; Maier, H.; Gerdes, M.; Stork, W.; Sarma, S. E.
2020. Online SPIE Photonics Europe, 6-10 April 2020. Neurophotonics. Vol.: 11360, 1136008/ 19 S., Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2554417 -
Highly parallelized rendering of the retinal image through a computer-simulated human eye for the design of virtual reality head-mounted displays
Vu, C. T.; Stock, S. C.; Fan, L. T.; Stork, W.
2020. Online SPIE Photonics Europe, 6 - 10 April 2020 - Optics, Photonics and Digital Technologies for Imaging Applications. Vol.: VI. Ed.: P. Schelkens, 1135316 / 21 S., Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2555872 -
FEEDI - A Smart Wearable Foot-Band for Navigation and Guidance Using Haptic Feedback
Stock, S.; Bertemes, A.; Stang, M.; Böhme, M.; Grimm, D.; Stork, W.
2020. Human Interaction, Emerging Technologies and Future Applications II : Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2020), April 23-25, 2020, Lausanne, Switzerland. Ed.: T. Ahram, 349–355, Springer. doi:10.1007/978-3-030-44267-5_52
2019
Zeitschriftenaufsätze
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Suitability of Virtual Reality for Vision Simulation – A Case Study using Glaucomatous Visual Fields
Stock, S. C.; Erler, C.; Stork, W.; Labuz, G.; Son, H. S.; Khoramnia, R.; Auffarth, G. U.
2019. Investigative ophthalmology & visual science, 60 (9), Abstract 2441 -
Automatic pupil detection using off-axis iris images for alignment guidance in fundus cameras
Dave, P.; Wei, A.; Nolan, D.; Stock, S.; Guo, J.; Covita, A.; Chen, M.; Straub, J.; Durbin, M.; Manivannan, N.
2019. Investigative ophthalmology & visual science, 60 (11), PB040
Proceedingsbeiträge
-
DeepBees-Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee Hives [in press]
Marstaller, J.; Tausch, F.; Stock, S.
2019. ICCV - International Conference on Computer Vision 2019, Oct. 27 - Nov. 2, 2019, Seoul, Korea
Vorträge
-
The QUA³CK Machine Learning Development Process and the Laboratory for Applied Machine Learning Approaches (LAMA)
Becker, J.; Grimm, D.; Hotfilter, T.; Meier, C.; Molinar, G.; Stang, M.; Stock, S.; Stork, W.
2019, Oktober 22. Symposium Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexiko-Stadt, Mexiko, 20. Oktober–25. Dezember 2019
Poster
-
Suitability of Virtual Reality for Vision Simulation – A Case Study using Glaucomatous Visual Fields
Stock, S. C.; Erler, C.; Stork, W.; Labuz, G.; Son, H. S.; Khoramnia, R.; Auffarth, G. U.
2019. ARVO Annual Meeting (2019), Vancouver, Kanada, 26.–27. April 2019
2018
Proceedingsbeiträge
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Realistic Simulation of Progressive Vision Diseases in Virtual Reality
Stock, S.; Erler, C.; Stork, W.
2018. Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 117:1–117:2, Association for Computing Machinery (ACM). doi:10.1145/3281505.3283395
2017
Zeitschriftenaufsätze
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Automatic Detection of the Optic Nerve Head in Line Scanning Ophthalmoscope Images in CIRRUS™ HD-OCT
Fard, A.; Bagherinia, H.; Stock, S.; Straub, J.
2017. Investigative ophthalmology & visual science, 58 (8), Abstract 4010 -
The Benefits of Real Time Pupil Tracking on the Quality of the B-Scan
Stock, S.; Kubach, S.; Sha, P.; Straub, J.; Stork, W.
2017. Investigative ophthalmology & visual science, 58 (8), Abstrract 660
Proceedingsbeiträge
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3D Visualization of Retinal Vasculature Using Virtual Reality and 3D Printing
Straub, J.; Jaward, S.; Stock, S.; Leahy, C.; Burns, C.; Sousa, F.
2017. ARVO imaging in the Eye Conference, 2017 Baltimore, May 06, 2017
Poster
-
The Benefits of Real Time Pupil Tracking on the Quality of the B-Scan
Stock, S.; Kubach, S.; Sha, P.; Straub, J.; Stork, W.
2017. ARVO 2017 in Baltimore, USA -
Automatic Detection of the Optic Nerve Head in Line Scanning Ophthalmoscope Images in CIRRUS™ HD-OCT
Fard, A.; Bagherinia, H.; Stock, S.; Straub, J.
2017. ARVO 2017 in Baltimore, USA -
Algorithm Parameter Optimization with Evolutionary Algorithms
Stock, S.; Kubach, S.; Straub, J.
2017. ARVO imaging in the Eye Conference, 2017 Baltimore, May 06, 2017