TU Chemnitz · Measurement & Sensor Technology

Signals, measured precisely.

Dr.-Ing. Ahmed Yahia Kallel — Research Group Leader, Impedance Spectroscopy & Measurement Systems, Chair of Measurement and Sensor Technology (Prof. Dr. Olfa Kanoun), TU Chemnitz

A decade of digital signal processing, from theory to silicon: I design the excitation signals and estimation algorithms that make impedance spectroscopy faster, more accurate, and embeddable — and I lead the team, the papers, and the projects that carry those methods into real battery and sensor systems.

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AHMT Best-Dissertation Prize 2024 Best Paper, SSD'26 Excitation-signal design · embedded EIS
Portrait of Dr. Ahmed Yahia Kallel
summa cum laude · TU Chemnitz
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Doctoral researchers led
Who I am

From signal theory to working hardware

I work across the whole chain — journal papers, doctoral supervision, and the hardware that has to run reliably outside the lab.

Research leadership

Since 2024 I lead the Impedance Spectroscopy group at the Chair of Measurement and Sensor Technology (Prof. Dr. Olfa Kanoun), guiding nine doctoral researchers from first idea to published, peer-reviewed results.

Applied impact

The methods from my research run on the resource-constrained microcontrollers inside real battery-management and sensor systems — up to 10× more accurate, 19× faster in signal processing, and over 500× faster in embedded feature selection.

Bridging theory & practice

From Q1 journal articles to microcontroller firmware, the work spans academic and industrial collaborations — research meant to be deployed, not only published.

Recent recognition

Selected recognition

April 2026 · Catania, Italy

Best Paper Award — SSD'26

“Fast A*-mRMR for Model-Aware Feature Selection in EIS-Based Battery State-of-Charge Estimation” — high-dimensional impedance analysis made real-time on embedded hardware, more than 500× faster than comparable methods.

Best-dissertation award · 2024

AHMT Measurement Technology Prize

The Association of University Professors of Measurement Technology (AHMT)'s award for an outstanding doctoral dissertation in measurement technology — for a summa cum laude thesis on optimized broadband excitation signals for impedance spectroscopy.

Expertise

What I bring, at a high level

Three things done well, over a decade: the signal processing itself, the scientific writing around it, and the people who make both happen.

Digital signal processing

  • Optimized multisine & binary excitation design, crest-factor optimization
  • Estimation theory (Kalman & particle filters), DRT, Kramers–Kronig / rLKK
  • Resource-constrained real-time DSP on STM32-class microcontrollers
  • Machine learning, shallow to deep (TensorFlow), for diagnostics & SoC estimation

Scientific writing & publishing

  • 70 publications, including 15 Q1 journal articles — 21 as first author
  • Guest Editor, IEEE OJIM · Publication Chair, IWIS
  • 100+ verified peer reviews · IEEE TIM Outstanding Reviewer 2023

Team leadership & delivery

  • Nine doctoral researchers supervised as research group leader
  • Funded projects with industry partners (BMWK, BMBF), coordinated end-to-end
  • A decade of teaching — lectures, labs, and 25+ supervised theses
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Contact

Get in touch

Reach out about collaborations, reviewing, or a hard measurement problem you're stuck on.

Email

contact@kallelay.com

Google Scholar

655 citations · h-index 13

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