	Simon Claus Stock, M.Sc.
	Wissenschaftlicher Mitarbeiter Gruppe: Prof. Stork Raum: 228 CS 30.10 Tel.: +49 721 608-48248 simon stockWfp2∂kit edu	Engesserstr. 5 76131 Karlsruhe

M. Sc. 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

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

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"

Studentische Arbeiten M. Sc. Simon Stock
Titel	Datum
Machine Learning in the Wild. Exploring new Applications using Deep Neural Networks	offen (zu vergeben)
Virtual and Augmented Reality for the Research of Human Vision VR und AR zur Erforschung des menschlichen Sehens	offen (zu vergeben)
Sicherheit beim Tauchen durch den Einsatz von Wearable-Technologien zur Überwachung kritischer Vitalfunktionen	offen (zu vergeben)
Using Brain-Computer Interfaces for Human Vision Research (Nutzung von Gehirn-Computer-Schnittstellen zur Erforschung des menschlichen Sehens)	offen (zu vergeben)

Publikationen

2020

Proceedingsbeiträge

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, IEEE, Piscataway (NJ). 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, IEEE, Piscataway (NJ). 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., SPIE, Bellingham (WA). 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., SPIE, Bellingham (WA). 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, Cham. doi:10.1007/978-3-030-44267-5_52

2019

Zeitschriftenaufsätze

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

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, ACM, New York. doi:10.1145/3281505.3283395

2017

Zeitschriftenaufsätze

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

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

Simon Claus Stock, M.Sc.

M. Sc. Simon Stock

Lebenslauf

Lehre

Forschung

Kollaborationen

Betreute abgeschlossene studentische Arbeiten

Publikationen