Kazi Mohammad Abidur Rahman

Kazi Mohammad Abidur Rahman

Wissenschaftlicher Mitarbeiter

Mail: kazi.rahman@tuhh.de
Telefon: +49 40 30601 2764
Adresse: Am Schwarzenberg 3 (E), 3.029
Personensuche: Zum Eintrag

Projects

AuRelia: Autonomous and Reliable SCG-Sensor System for Human Space Exploration

The AuRelia project addresses challenges of health sensors for lunar missions with strong sensor autonomy and extremely high reliability. It focuses on SCG (Seismocardiography) sensors and serves as a foundation for further fundamental research on SCG, marking the first investigation into artifact formation on SCG.

RISA: RISA - Reliability Investigation of Low Power FPGAs for Space Applications

RISA (Reliability Investigation of Low Power FPGAs for Space Applications) is a small payload for the PLUTO technology demonstrator satellite. In particular, RISA tests the suitability of low-power FPGAs for use in space missions and evaluates mechanisms for detecting errors. RISA payload will provide important findings for the reliable use of LP FPGAs in space environments.

KORVEKSiS: Compensated Location Vectors for the Characterization of Seismocardiographic Signals using Integrated Sensor Technology

KORVEKSiS aims to develop a miniaturized, resource-efficient sensor platform that fuses 3D accelerometer and gyroscope data to derive orientation-compensated seismocardiographic (SCG) signals for more accurate and standardized cardiac monitoring. By addressing measurement uncertainties and integrating with reference systems like ECG, PCG, and echocardiography, the project lays the groundwork for cost-effective wearable for cardiac monitoring and clinical healthcare.

Publications

2026

DCOSS Conference
At the Edge of the Heart: ULP FPGA-Based CNN for on-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts

Kazi Mohammad Abidur Rahman, Davis Rakhshan, Philipp Lütke, Laura Harms, Ulf Kulau2026 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)2026Accepted for Publication.
tbd [BibTex]

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BibTex Entry

@inproceedings{rahman:dcoss2026,
location = {Reykjavik, Iceland},
author = {Rahman, Kazi Mohammad Abidur and Rakhshan, Davis and Lütke, Philipp and Harms, Laura and Kulau, Ulf},
booktitle = {2026 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)},
doi = {tbd},
entrysubtype = {Conference},
month = {June},
note = {Accepted for Publication},
number = {},
pages = {},
title = {{At the Edge of the Heart: ULP FPGA-Based CNN for on-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts}},
volume = {},
year = {2026},
}

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WSW Workshop
Undervolting Experiments with LP-FPGAs in Space

Lucas Bublitz, Haron Nazari, Kazi Mohammad Abidur Rahman, Thorbjörn Albrecht, Stephan Sigg, Martin Drobczyk, Jan-Gerd Meß, Jochen Rust, Ulf Kulau8th Winter Satellite Workshop: with remote sensing days and space science workshop2026.
[BibTex]

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BibTex Entry

@inproceedings{bublitz2026wsw,
location = {Espoo, Finland},
author = {Bublitz, Lucas and Nazari, Haron and Mohammad Abidur Rahman, Kazi and Albrecht, Thorbjörn and Sigg, Stephan and Drobczyk, Martin and Meß, Jan-Gerd and Rust, Jochen and Kulau, Ulf},
booktitle = {8th Winter Satellite Workshop: with remote sensing days and space science workshop},
entrysubtype = {Workshop},
months = {January},
title = {Undervolting Experiments with LP-FPGAs in Space},
url = {https://drive.google.com/file/d/11-B0Kn1T8kw61dWJH1Un9GYN4pB3wQrb/view},
year = {2026},
}

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2025

FGSN Workshop
Wavelet-Driven Denoising and Cross-Axis Fusion for Automated SCG Systolic/Diastolic Window Extraction

Kazi Mohammad Abidur Rahman, Urs-Vito Albrecht, Ulf KulauProceedings of the 22nd GI/ITG KuVS Fachgespräch Drahtlose Sensornetze2025.
doi.org/10.21268/20250819-0 [BibTex]

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BibTex Entry

@report{rahman:FGSN2025,
location = {Clausthal-Zellerfeld},
author = {Rahman, Kazi Mohammad Abidur and Albrecht, Urs-Vito and Kulau, Ulf},
booktitle = {Proceedings of the 22nd GI/ITG KuVS Fachgespr{ä}ch Drahtlose Sensornetze},
doi = {doi.org/10.21268/20250819-0},
entrysubtype = {Workshop},
month = {September},
title = {{Wavelet-Driven Denoising and Cross-Axis Fusion for Automated SCG Systolic/Diastolic Window Extraction}},
year = {2025},
}

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MOCAST Conference
SORN-based Cross-Correlation for SCG Signal Peak Detection in Resource-Constrained Systems

Kazi Mohammad Abidur Rahman, Ulf Kulau, Rust Jochen2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)2025.
10.1109/MOCAST65744.2025.11083906 [BibTex]

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BibTex Entry

@inproceedings{rahman:mocast2025,
location = {Dresden, Germany},
author = {Rahman, Kazi Mohammad Abidur and Kulau, Ulf and Jochen, Rust},
booktitle = {2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)},
doi = {10.1109/MOCAST65744.2025.11083906},
entrysubtype = {Conference},
month = {june},
title = {{SORN-based Cross-Correlation for SCG Signal Peak Detection in Resource-Constrained Systems}},
year = {2025},
}

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2024

NorCAS Conference
Hardware-accelerated Compression Core on RISC-V for Online-BCG Data Reduction

Kazi Mohammad Abidur Rahman, Abdelrahman Noshy Abdelalim Ahmed, Görschwin Fey, Ulf KulauIEEE Nordic Circuits and Systems Conference (IEEE NorCAS)2024.
10.1109/NorCAS64408.2024.10752448 [BibTex]

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BibTex Entry

@inproceedings{rahman:norcas24,
author = {Rahman, Kazi Mohammad Abidur and Noshy Abdelalim Ahmed, Abdelrahman and Fey, G{ö}rschwin and Kulau, Ulf},
booktitle = {IEEE Nordic Circuits and Systems Conference (IEEE NorCAS)},
doi = {10.1109/NorCAS64408.2024.10752448},
entrysubtype = {Conference},
month = {November},
organization = {IEEE},
title = {{Hardware-accelerated Compression Core on RISC-V for Online-BCG Data Reduction}},
year = {2024},
}

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JMIR Journal
Identifying Gravity-Related Artifacts on Ballistocardiography Signals by Comparing Weightlessness and Normal Gravity Recordings (ARTIFACTS): Protocol for an Observational Study

Urs-Vito Albrecht, Annabelle Mielitz, Kazi Mohammad Abidur Rahman, Ulf KulauJMIR Research Protocols132024.
10.2196/63306 [BibTex]

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BibTex Entry

@article{jmir2024,
author = {Albrecht, Urs-Vito and Mielitz, Annabelle and Rahman, Kazi Mohammad Abidur and Kulau, Ulf},
day = {26},
doi = {10.2196/63306},
entrysubtype = {Journal},
journaltitle = {{JMIR Research Protocols}},
month = {sep},
title = {{Identifying Gravity-Related Artifacts on Ballistocardiography Signals by Comparing Weightlessness and Normal Gravity Recordings (ARTIFACTS): Protocol for an Observational Study}},
volume = {13},
year = {2024},
}

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DCOSS Conference
ISFD: Efficient and Fault-Tolerant In-System-Failure-Detection for LP FPGA-Based Smart-Sensors in Space Expeditions

Kazi Mohammad Abidur Rahman, Timo Dirkes, Bjoern Delfs, Vanessa Wyrwoll, Ulf Kulau2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)2024.
10.1109/DCOSS-IoT61029.2024.00021 [BibTex]

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BibTex Entry

@inproceedings{rahman2024isdf,
author = {Rahman, Kazi Mohammad Abidur and Dirkes, Timo and Delfs, Bjoern and Wyrwoll, Vanessa and Kulau, Ulf},
booktitle = {2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)},
doi = {10.1109/DCOSS-IoT61029.2024.00021},
entrysubtype = {Conference},
number = {},
pages = {74-83},
title = {{ISFD: Efficient and Fault-Tolerant In-System-Failure-Detection for LP FPGA-Based Smart-Sensors in Space Expeditions}},
volume = {},
year = {2024},
}

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Student Corner

Students interested in possible bachelor/master Projects (PA) or Thesis are requested to send a short description of their research interests, relevant work experiences (if any) and academic transcript by e-mail. Skills that might be helpful before applying for Projects/Thesis : Embedded C/C++, Rust, Python, Verilog, MCUNet, Lattice SensAI, RIOT.

Open Theses Topics

Efficient Cardiac Interval Estimation from Seismocardiography Using Wavelet-Based Neural Networks

Typ: Masterarbeit
Status: offen
Supervisors: Kazi Mohammad Abidur Rahman
Project: KORVEKSiS
Design, train, and embed a wavelet-front-end neural pipeline (DWT / WPT / scattering) for cardiac-interval estimation from SCG, and benchmark it against a raw-signal CNN baseline on the nRF52840 to quantify the accuracy–energy trade-off under near-sensor constraints.