Academic Staff

Michael Küttner

Karlsruhe Institute of Technology (KIT)

Institute of Telematics / TECO

Vincenz-Prießnitz-Straße 1

76131 Karlsruhe, Germany

Building 07.07

Room 214

kuettnerδteco.edu

+49 721 608-41709

Michael Küttner

Profile

I am a PhD student here at the TECO research group. I have been part of TECO since 2019, initially as a research assistant, and since then I have been working on advanced wearable systems with a focus on sensor-based computing and real-time signal processing.

My work centers on next-generation smart earables that integrate multimodal sensing, embedded AI, and low-latency audio DSP. I develop hardware, firmware, and adaptive signal processing pipelines for physiological sensing, environmental perception, and immersive audio interfaces, with a particular focus on real-time audio processing, active noise control and spatial audio perception.

I currently work on the development of OpenEarable 2.0, an open research platform for in-ear sensing and audio processing, and UltrasonicSpheres, a system that creates localized ultrasonic sound zones for seamless spatial audio anchored in physical space. My broader interests include assistive hearing systems, embedded ML, physiological signal analysis, and ubiquitous computing interfaces.

Short CV

  • 2024 Researcher and Software Developer at TECO
  • 2020 – 2024 M.Sc. Computer Science at Karlsruhe Institute of Technology (KIT)
  • 2016 – 2020 B.Sc. Computer Science at Karlsruhe Institute of Technology (KIT)

Research Interests

  • Real-time Signal Processing
  • Audio Filter Design
  • Embedded Firmware

Projects

Job Supervisions

Topic Areas

Embedded System Firmware DevelopmentIIR-Filter DesignReal-time Signal Processing

Publications

2025
🏆 Best Paper Award
Heatables: Effects of Infrared-LED-Induced Ear Heating on Thermal Perception, Comfort, and Cognitive Performance
Zitz, 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:10.1145/3715071.3750421Full textFull text of the publication as PDF document
🏆 Honorable Mention
Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform
Röddiger, 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
OpenEarable 2.0: Open-Source Earphone Platform for Physiological Ear Sensing
Röddiger, T.; Küttner, M.; Lepold, P.; King, T.; Moschina, D.; Bagge, O.; Paradiso, J. A.; Clarke, C.; Beigl, M.
2025. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9 (1), Art.-Nr.: 16. doi:10.1145/3712069Full textFull text of the publication as PDF document