Institute of Functional Nanosystems

Kalpan Kamleshkumar Ved

Research

I work at the intersection of biology, mathematics and engineering to develop bio-inspired sensor systems. My research centres on designing the electronics for MEMS-based resonators, with the goal of implementing acoustic sensors for microphone and hearing-aid applications. I work hands-on across multiple disciplines, from FPGA and analogue circuit design to PCB layout, device automation, and MEMS modelling and characterisation.

Publications

Ved K, Rolf HFJ, Ivanov T, Meurer T, Ziegler M. Mimicking cochlear processing using critically coupled MEMS sensors. Neuromorphic Computing and Engineering. 2026; 6 (1):014015.      [DOI] 
Gubbi V, Ivanov T, Ved K, Lenk C, Ziegler M. Bio-inspired acoustic MEMS sensor with tunable resonance frequency. Sensors and Actuators A: Physical. 2025; 387:116369.      [DOI]      [File] 
Ved K, Rolf HFJ, Ivanov T, Meurer T, Ziegler M, Lenk C. Coupling-induced tunability of characteristic frequency, bandwidth and gain of artificial hair cells. Hearing Research. 2025; 462:109260.      [DOI]      [File] 
Durstewitz S, Ved K, Gubbi V, Ivanov T, Ziegler M, Lenk C, Biomedical Engineering (Stuttgart 1-02. Acoustic MEMS sensor system to emulate properties of the human hearing. Biomedical engineering: joint journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering. 2024 Nov. 19; 69(s2):S. [69].      [DOI]      [File] 
Ved K, Lenk C, Ivanov T, Hövel P, Ziegler M. Bio-inspired, adaptive acoustic sensor: sensing properties in dependence of feedback parameters. AIP Conf. Proc. 3602. 2024; (Nonlinearity and Hearing: Advances in Theory and Experiment):040011.      [DOI] 
Lenk C, Ved K, Durstewitz S, Ivanov T, Ziegler M, Hövel P. Bio-inspired, Neuromorphic Acoustic Sensing. In: Ziegler, Martin and Mussenbrock, Thomas and Kohlstedt, Hermann, editors. Cham: Springer International Publishing; 2024 p. 287—315.      [DOI]      [File] 
Johny S, Ved K, Durstewitz S, Ivanov T, Ziegler M, Lenk C. Bio-Inspired Sensor-Based Sound Pre-Processing for Speech Recognition in Noisy Conditions. In: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). 2024 p. 1-5.      [DOI] 
Lenk C, Beer D, Männchen A, Küller J, Ved K, Durstewitz S, Gubbi V, Ivanov T, Ziegler M. Bioinspiriertes Mikrofon - die MEMS-Cochlea. Akustik Journal. 2023 Jun.     [File] 
Lenk C, Hövel P, Ved K, Durstewitz S, Meurer T, Fritsch T, Männchen A, Küller J, Beer D, Ziegler M. Neuromorphic acoustic sensing using an adaptive microelectromechanical cochlea with integrated feedback. Nat Electron 6. 2023; 6:370-380.      [DOI] 
Lenk C, Ved K, Ivanov T, Ziegler M, Hövel P. Bio-inspired, neuromorphic acoustic sensing. In: Bio-Inspired Information Pathways: From Neuroscience to Neurotronics. Cham: Springer; 2023 p. 287—315.
Lenk C, Ivanov T, Durstewitz S, Ved K, Gubbi V, Ziegler M. An Adaptive Acoustic Neuromorphic Auditory System. In: 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC). 2023 p. 210-211.      [DOI] 
Lenk C, Ivanov T, Gubbi V, Ved K, Ziegler M, Fritsch T, Küller J, Beer D. Bio-inspired, nonlinear and adaptive acoustic sensing- Study of sensor design. Tagungsband DAGA 2022 - 48. Jahrestagung für Akustik. 2022 :393-396.
Lenk C, Ivanov T, Gubbi V, Ved K, Ziegler M, Fritsch T, Küller J, Beer D. Bio-inspired, nonlinear and adaptive acoustic sensing — study of sensor design. In: Fortschritte der Akustik — DAGA 2022. 2022 p. 1—4.