Acoustics & Vibration Engineering · MEMS Sensor Research

Shahariar Ryehan

I design and validate MEMS-compatible acoustic sensors — from a photoacoustic CO₂ gas sensor built during my thesis internship at Hahn‑Schickard (Germany) to nonlinear wave models published in five peer-reviewed journals. I'm finishing the Erasmus Mundus Joint Master WAVES and looking for a PhD in acoustics, MEMS sensing, or applied mathematics.

6 published
research papers
Shahariar Ryehan working with a laser vibrometer setup at Hahn-Schickard
Erasmus Mundus WAVES · Class of 2026

Flagship research · Master's Thesis

A MEMS-Compatible Photoacoustic CO₂ Sensor

Seven months at Hahn‑Schickard (Villingen‑Schwenningen, Germany) designing, modeling, and experimentally validating a photoacoustic gas sensor — from a baseline resonance cell to a tunable, MEMS‑ready Helmholtz resonator. My main target the whole way through: getting the resonator geometries right.

± 9% error Lumped-element circuit model vs. COMSOL FEM
4 geometries DFB & VCSEL compatible, direct and indirect detection
Read the full project →
Lab setup at Hahn-Schickard
Resonator geometry 2 — CAD drawing
Lumped-element circuit model of the resonator
MEMS resonator wafer: silicon/gold layer stack and wafer mask layout
MEMS wafer — front and back
How the sensor is made

MEMS geometry, from mask to wafer

The resonator's cantilever microphone is fabricated on a two-mask silicon process: a silicon stack (500 nm AlN piezoelectric layer) and a gold stack (360 nm AlN, with a gold electrode pair) built up from thermal oxide, PECVD oxide, and patterned aluminium or gold on a bare silicon wafer. Dozens of geometry variants are patterned across a single wafer and diced apart, then characterized one-by-one with a laser Doppler vibrometer before being mounted into a resonator housing.

Silicon Micromachining AlN Piezoelectric Layer Wafer-Scale Fabrication K-Layout
Erasmus Mundus WAVES

Trained across five institutions

A fully-funded, two-year Erasmus Mundus master's across three European countries, capped by a thesis placement in a fourth — building on undergraduate research back home in Bangladesh.

University of Coimbra logoUniversity of CoimbraPortugal
Universitat Politècnica de València logoUniversitat Politècnica de ValènciaSpain
Aix-Marseille Université logoAix‑Marseille UniversitéFrance
Hahn-Schickard logoHahn‑SchickardGermany · Master's Thesis
HSTU logoHajee Mohammad Danesh Science and Technology UniversityBangladesh
About

From nonlinear wave equations to physical sensors

My research sits at the intersection of applied mathematics and experimental acoustics. I started out studying soliton solutions of nonlinear PDEs — publishing on ocean waves modeled by the Kadomtsev–Petviashvili equation and on stochastic Bogoyavlenskii dynamics — and have since moved into hardware: designing acoustic resonators, running thermoviscous FEM simulations in COMSOL, and building lumped‑element circuit models to make that hardware fast to iterate on.

I'm currently finishing the Erasmus Mundus Joint Master WAVES (Waves, Acoustics, Vibrations, Engineering and Sound) across the University of Coimbra, Universitat Politècnica de València, and Aix‑Marseille Université, and completed my thesis research at Hahn‑Schickard in Germany. I moved from a math undergraduate into experimental acoustics on purpose, to learn lab work before a PhD — more on exactly what I'm looking to keep working on below.

Photoacoustic Spectroscopy MEMS Sensors Thermoviscous Acoustics COMSOL / MATLAB / LTspice Nonlinear PDEs Solitons
Shahariar Ryehan soldering a MEMS test fixture under a microscope
What I want to keep working on

Research interests for a PhD

Four threads run through my thesis, my published papers, and the labs I've reached out to. Each one is a different surface of the same idea: model a resonant or impedance system carefully enough, and it starts telling you things a single reading never could.

01

MEMS resonant & impedance sensing

Building a resonator or electrode system as a lumped-element equivalent circuit, matching it to COMSOL and measurement, then using that model to pull apart what a single reading can't: a drifting electrode interface from real tissue change, one species from background water chemistry, a gas concentration from laser noise. This is the core method from my thesis at Hahn‑Schickard, and the one I most want to carry into a new sensing problem.

02

Nonlinear acoustics & acoustic metamaterials

Granular chains, tapered-plate acoustic black holes, and structure-borne vibration damping. I'm running two side investigations on this at Hahn‑Schickard alongside published work on Hertzian-contact and Pochhammer–Chree soliton dynamics in granular metamaterials.

03

Nonlinear waves & solitons in photonics and materials

PDE-based soliton modeling applied to concrete physical problems rather than left as pure theory: a Kerr-soliton photonic-crystal-fibre glucose sensor, a voltage-dependent soliton model of MOSFET potential distribution, variable-order fractional chaotic systems, and Rossby solitons in atmospheric blocking.

04

Biomedical & lab-on-chip sensing

Carrying the resonant/impedance modeling approach into implantable and microfluidic devices — bioimpedance sensing capsules, impedance flow cytometry, wireless MEMS flow sensors — as a way of bridging an acoustics background into biomedical engineering.

PhD search

Conversations in progress

A sample of the outreach, interviews, and applications underway right now — labs and departments working on problems closely related to my own research.

Interviewed
Oct 2026

Nanopore-Based DNA & Protein Sensing

Elements SRL · MORPHEOS MSCA Network, Cesena, Italy

An industrial PhD on nanopore sensing — electrochemistry and ion-transport modeling, built on the lock-in detection and noise analysis from my own thesis work.

Interviewed
Apr 2026

Chip Integration of a Diamond Maser

Saarland University, Germany

NV-center diamond masers for chip-scale quantum sensing — microwave resonator design and the stability analysis behind my published work.

In discussion
2026

MEMS & Electromagnetic Biomedical Sensors

California Institute of Technology, USA

Implantable MEMS sensors read as damped resonant circuits, extending the resonator modeling from my photoacoustic thesis.

In discussion
2026

BioMEMS & Flow Sensing

University of California, Berkeley, USA

Microfluidic flow sensing via phase-based signal extraction — the same approach behind the FFT amplitude/phase work in my sensor research.

In discussion
2026

Bioimpedance Sensing Capsules

University of Maryland, USA

Ingestible bioimpedance capsules — multi-frequency equivalent-circuit modeling, extending my lumped-element resonator work.

In discussion
2026

Impedance Flow Cytometry

University of Utah, USA

Microfluidic impedance cytometry — an equivalent-circuit model of the sensing cell to pick the best measurement frequencies.

In discussion
Oct 2026

Classical-Mechanical Analogues of Qubits

Wayne State University, USA

Metamaterial/vibration systems that mimic quantum information processing — the mechanical side of a quantum interest I never got to pursue directly.

Applied
Sep 2026

Minimally-Invasive Neuro-Biomarker Sampling

KTH Royal Institute of Technology, Sweden

Biomedical microsystems for minimally invasive sampling, bridging MEMS fabrication into clinical devices.

Applied
Oct 2026

Photoacoustic Aerosol & Black-Carbon Measurement

Tampere University, Finland

Photoacoustic instrumentation for atmospheric black-carbon measurement — the same physics as my MEMS CO₂ sensor, at a different scale.

Applied
Oct 2026

Modular Actuator-Sensor Units for Over-Actuation

TU Delft, Netherlands

Precision mechatronic units combining actuation and sensing — a systems-level extension of my instrumentation work.

Applied
Sep 2026

Glueless Packaging of MEMS Microfluidic Chips

University of Twente, Netherlands

Hermetic, glue-free packaging for microfluidic MEMS sensors — the fabrication-reliability problem behind every lab chip I've built.

Preparing
2026

Coupled Kerr Parametric Oscillator Networks

ETH Zurich, Switzerland

Networks of nonlinear MEMS/electrical oscillators for quantum-inspired computing, extending my nonlinear-dynamics publications.

Replied
2026

Ultrasound & Biomedical Engineering

Carnegie Mellon University, USA

Ultrasound-based biomedical sensing, applying my acoustic measurement background to a clinical setting.

Plus cold outreach, not yet answered, to another nine labs across the US working on closely related problems — chip-scale MEMS flow sensors, Parylene wireless flow sensors, resonant MEMS gas sensors, chemical/gas microsensors, thermal effects in microsystems, acoustic MEMS microphones, photoacoustic biophotonics, and piezoelectric MEMS microphones.

Path so far

Education & research timeline

Feb 2026 – Aug 2026

Research Intern / Master's Thesis

Hahn‑Schickard, Villingen‑Schwenningen, Germany

Designed and validated a MEMS-compatible photoacoustic CO₂ sensor: two resonator geometries, COMSOL FEM, and a lumped-element circuit model.

2024 – 2026

MSc, Acoustic & Vibration Engineering

Erasmus Mundus Joint Master WAVES · Coimbra, València & Marseille

Five lab placements: vibration & porous-materials work in Coimbra, electrical instrumentation in Valencia, granular-metamaterials internship and MEMS acoustic imaging in Marseille.

Before 2024

BSc & Research Assistant

Hajee Mohammad Danesh Science & Technology University, Bangladesh

Published research on soliton solutions of nonlinear PDEs; organized and taught mathematics/physics olympiad programs. Ongoing work on a photonic-crystal-fiber sensor for non-invasive blood-glucose detection.

Laser Doppler vibrometer at Hahn-Schickard Erasmus Mundus WAVES lab work Soliton solution plot from undergraduate research
Full research & timeline →
Selected publications

Papers & preprints

Chaotic dynamics attractor plot
Published 2026

Unraveling Chaotic Dynamics in Variable-Order Fractional Systems

Nonlinear Science (Elsevier)
Soliton surface plot
Published 2026

From Hertzian Contact to Pochhammer–Chree Dynamics: Solitons, Chaos & Bifurcation in Granular Metamaterials

Chaos, Solitons & Fractals (Elsevier)
All publications & preprints →
One MEMS concept a day · Blender

Explaining sensors by animating them

A short animation series breaking down how specific MEMS devices actually work, mechanism by mechanism, rather than just a cross-section drawing.

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1-DOF Resonant E-Field Sensor

Interdigitated electrodes & a resonant shutter

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Piezoelectric Cantilever Actuator

Single-layer vs. dual-layer relaxor ferroelectric

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Ultrasonic Crack Detection

Pulse-echo NDT in an aluminium wing skin

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Photoacoustic CO₂ Sensor

Chopped laser, resonator & lock-in detection

More on LinkedIn.

Looking for a PhD position

Open to doctoral opportunities in acoustics, MEMS sensing, and nonlinear wave phenomena.

Get in touch