Florian Wolling

Univ.Ass. Dr.-Ing. / MSc

Research Focus

Information Systems Engineering: 35%
Visual Computing and Human-Centered Technology: 40%

Research Areas

Ubiquitous Computing, Wearable Computing, Intra-Body Communication

About

Full-time university assistant (Post-Doc) in computer science with year-long experience in research, supervision, and teaching. Passionate for wearable computing, intra-body communication, and biosignal processing. Eager to investigate the potentials of intra-body communication from an HCI- and UX-perspective.

Role

PostDoc Researcher
Artifact-based Computing and User Research, E193-04

Contact

Courses

2024W

Bachelor Thesis for Informatics and Business Informatics / 187.A99 / PR
Design and Fabrication / 193.132 / VU
Foundations of Ubiquitous Computing and IoT / 193.121 / VU
Project in Computer Science 1 / 193.117 / PR
Project in Computer Science 2 / 193.118 / PR
Project Media and Human-Centered Computing 2 / 193.022 / PR
Seminar Media and Human-Centered Computing / 193.099 / SE

2025S

Bachelor Thesis for Informatics and Business Informatics / 187.A99 / PR
Beyond the Desktop / 193.109 / VU
Project Media and Human-Centered Computing 1 / 193.021 / PR
Project Media and Human-Centered Computing 2 / 193.022 / PR
Seminar Media and Human-Centered Computing / 193.099 / SE

Publications

Smart Trash Can: Image Classification and Segmentation for Waste Quality Management in the Home / Wolling, F., Gabor Pal, Larcher, L., & Michahelles, F. (2025). Smart Trash Can: Image Classification and Segmentation for Waste Quality Management in the Home. In IoT ’24: Proceedings of the 14th International Conference on the Internet of Things (pp. 65–71). Association for Computing Machinery. https://doi.org/10.1145/3703790.3703798
JumpMetric: Assessment of Fiducial Positions for Vertical Jump Height Estimation from Depth Cameras and Wearable Sensors / Kügler, C., Trollmann, P., Wolling, F., & Michahelles, F. (2024). JumpMetric: Assessment of Fiducial Positions for Vertical Jump Height Estimation from Depth Cameras and Wearable Sensors. In A. Matviienko, J. Niess, & T. Kosch (Eds.), MUM ’24: Proceedings of the 23rd International Conference on Mobile and Ubiquitous Multimedia (pp. 419–431). Association for Computing Machinery. https://doi.org/10.1145/3701571.3701607
TipTopTyping: A Thumb-to-Finger Text Input Method and Character Layout Optimized for Mobile Spatial Computing / Beier, R., Wolling, F., Hornecker, E., & Michahelles, F. (2024). TipTopTyping: A Thumb-to-Finger Text Input Method and Character Layout Optimized for Mobile Spatial Computing. In Proceedings of Mensch und Computer 2024 (pp. 196–206). Association for Computing Machinery. https://doi.org/10.1145/3670653.3670669
Smart Trash Can: Easy Collection of Photos of Organic Waste in the Home / Taurer, F., Wolling, F., Moore, J., & Michahelles, F. (2023). Smart Trash Can: Easy Collection of Photos of Organic Waste in the Home. In MUM ’23: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia (pp. 571–573). Association for Computing Machinery. https://doi.org/10.1145/3626705.3631881

Supervisions

Impact of Time Discrepancy on Machine Learning Models for Human Activity Recognition / Trollmann, P. (2025). Impact of Time Discrepancy on Machine Learning Models for Human Activity Recognition [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.120632
Download: PDF (11.4 MB)
Wireless Synchronization of Wearable Sensor Nodes / Prader, M. (2025). Wireless Synchronization of Wearable Sensor Nodes [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.112084
Download: PDF (4.41 MB)

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