Scientific Researcher at TU Ilmenau pushing the frontier of micro-scale systems — from bio-inspired MEMS cochlea sensors and neuromorphic architectures to hydrogen explosion safety and model order reduction algorithms. 9 publications across IEEE, Wiley & international conferences.
Bridging the gap between micro-scale physics and intelligent engineering systems
I am an Electrical & Electronic Engineer with an M.Sc. in Micro- and Nanotechnologies from TU Ilmenau, currently advancing as a Research Assistant in the Department of Micro- and Nanoelectronic Systems.
My research explores the rich intersection of physics and intelligent engineering — from multiphysics MEMS simulation and bio-inspired acoustic transducers to hydrogen explosion safety and large-scale control system optimization. I thrive at problems where mathematical rigour meets experimental precision.
With collaborations spanning TU Ilmenau, Fraunhofer IDMT, PTB Braunschweig, and North South University Bangladesh, my work has been recognized in IEEE, Wiley, and multiple international peer-reviewed venues.
A journey from algorithmic research to experimental micro-systems engineering
Hands-on engineering across simulation, hardware, and algorithm design
Multiphysics simulation and experimental characterization of a bio-inspired MEMS hair-cell sensor mimicking the mammalian cochlea. Studied geometry-sensitivity trade-offs and high-speed feedback for adaptive bandpass filtering and frequency-selective amplification.
Designed a novel projection-free balanced truncation algorithm for discrete-time index-2 descriptor systems arising from Navier-Stokes and circuit problems. Achieved dramatic computational savings while preserving stability and passivity — validated on large-scale MEMS models.
First-of-kind 3D numerical model combined with schlieren imaging to study hot gas kernel expansion from contact-break discharges in hydrogen-air atmospheres (21 vol.%). Critical safety research for hydrogen technology at low voltages (<40V) and currents (<40mA).
Model switch experimental setup to study how electrical contact resistance evolves through degradation cycles. Integrating thermal imaging, electrical measurements, and surface analysis to develop predictive models for circuit protection reliability.
Comparative analysis of balanced truncation vs. Krylov-based IRKA for model order reduction of singular LTV periodic systems arising in circuit control. Implemented pseudo-inverse techniques to handle singularity — benchmarked via Bode plots and eigenstructure analysis.
Designed and built a wearable telemetry device integrating GPS, GSM, gyroscopes, and heart-rate sensors to broadcast automated health crisis alerts — demonstrating end-to-end IoT system design.
Peer-reviewed work spanning MEMS, control systems, acoustics, and hydrogen safety — from IEEE to Wiley
Contact-break discharges, occurring even at low voltages and currents, represent a potential ignition source in hydrogen atmospheres. This work investigates dynamic electrodes with Cd and Zn cathodes using high-speed schlieren imaging, extended by a 3D numerical model to analyze hot gas kernel expansion and characteristics depending on discharge channel position.
This work presents a comprehensive model of the ignition delay and ignition process triggered by contact discharge in hydrogen-air environments, combining analytical models with experimental schlieren data to predict ignition thresholds.
This article presents a balancing-based algorithm for reducing the complexity of structured discrete-time LTI index-2 descriptor systems. The proposed algorithm projects the index-2 system onto a hidden manifold and enhances the Smith-based iterative method to allow balanced truncation without explicitly forming the dense system, achieving efficient and robust results demonstrated through numerical simulations.
This work studies how geometrical design parameters influence the performance of MEMS hair cells as acoustic sensors. FEM simulations validated by measurements show that changing beam length and thickness allows tuning of sensitivity independently of resonance frequency — enabling better adaptive bio-inspired sound processing systems with integrated signal conditioning.
Comparative analysis of two iterative algorithms for model order reduction of linear time-varying (LTV) periodic systems with singular matrices. The LTV model is reformulated into an LTI model via discretization, then reduced by balanced truncation (using LRCF-ADI with pseudo-inverse shift parameters) and by Krylov-based IRKA. Accuracy validated via frequency response graphs, Bode plots, and eigenstructure analysis.
Efficient approach for reduce order modeling of discrete-time LTI index-2 descriptor systems arising in control system study. The contribution lies in finding a projection-free MOR strategy where balanced truncation is applied only in the finite parts of the matrices, solving generalized discrete algebraic Lyapunov equations via modified Smith iterations without explicitly computing projection matrices.
Efficient algorithm for model reduction of discrete-time index-2 descriptor systems in LTI control. A two-stage Smith-based iterative method: stage 1 reformulates the descriptor system into a generalized system; stage 2 solves the associated discrete Lyapunov equations via Smith iterations. High performance and accuracy corroborated through numerical simulations.
Structure-preserving Smith-based iterative method for MOR of index-2 periodic descriptor systems. The work reformulates the discrete-time descriptor to a generalized system in cyclic lifted representation, then applies Smith-based algorithms with cyclic permutation strategies to solve lifted discrete algebraic Lyapunov equations while preserving the original block-diagonal solution structure.
Iterative method for MOR of continuous LTV periodic descriptor systems with singular matrices. The strategy reformulates the LTV to LTI via Euler discretization, reduces using balanced truncation, and approximates Lyapunov solutions using LRCF-ADI with pseudo-inverse shift parameters to handle singularity. Validated via step responses, Bode plots, and eigenstructure comparisons.
A full-stack researcher — from sub-micron simulation to algorithm design and lab experimentation
Open to academic collaborations, MEMS research positions, and industrial consulting opportunities
Whether you're looking for a meticulous researcher with multiphysics expertise, an algorithm developer for complex control problems, or a collaborator on hydrogen safety — I'd love to hear from you.
+49 176 8207 7776
TU Ilmenau, Thuringia, Germany