Academic Staff
Valeria Zitz

Profile
I am a PhD researcher at the TECO Lab (Karlsruhe Institute of Technology), working on the development of embedded wearable systems for personalized preventive healthcare. My research spans sensor technology, PCB design, and embedded signal processing to enable multimodal physiological sensing. Beyond diagnostics and biofeedback, I focus on non-invasive therapeutic applications such as photobiomodulation and thermal stimulation. By combining technical innovation with clinical validation and human-centered design, I aim to transform wearables into intelligent, comfort-optimized companions for diagnostics, therapy, and everyday health interventions.
Short CV
- since 2024 PhD Candidate at TECO
- 2023 – 2024 Researcher, Freie Universität Berlin
- 2023 M.Sc. Computer Science, Karlsruhe University of Applied Sciences
- 2022 – 2023 Technical Product Lead, EnBW Energie Baden-Württemberg AG
- 2022 – 2024 Lecturer for Human Computer Interaction, Karlsruhe University of Applied Sciences
- 2021 – 2024 Lecturer for Usability & Audiovisual Communication, Heilbronn University of Applied Sciences
- 2021 B.Sc. Computer Science, Karlsruhe University of Applied Sciences
- 2016 B.Sc. Journalism, Karlsruhe University of Applied Sciences
Research Interests
- Embedded Sensing & System Design
- Digital Biomarkers & Preventive Medicine
- Health Applications & Clinical Translation
Teaching
- Proseminar Mobile Computing & Seminar Ubiquitäre Systeme: SS2026, WS 2025/2026
- Proseminar Mobile Computing: SS 2025
- Praxis der Softwareentwicklung (PSE): WS 2024/2025
Projects
Topic Areas
Biosignal Analysis and TechnologiesHealth MonitoringTherapeutic Wearables
Publications
2025
🏆 Best Paper Award
Heatables: Effects of Infrared-LED-Induced Ear Heating on Thermal Perception, Comfort, and Cognitive PerformanceZitz, V.; Küttner, M.; Hummel, J.; Knierim, M. T.; Beigl, M.; Röddiger, T.
2025. Proceedings of the ACM International Symposium on Wearable Computers (ISWC’25), 91–97, Association for Computing Machinery (ACM). doi:10.1145/3715071.3750421
🏆 Honorable Mention
Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing PlatformRöddiger, T.; Zitz, V.; Hummel, J.; Küttner, M.; Lepold, P.; King, T.; Paradiso, J. A.; Clarke, C.; Beigl, M.
2025. CHI EA ’25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Art.-Nr.: 713, Association for Computing Machinery (ACM). doi:10.1145/3706599.3721161