Kazi Mohammad Abidur Rahman

Kazi Mohammad Abidur Rahman

Wissenschaftlicher Mitarbeiter

Mail: kazi.rahman@tuhh.de
Telefon: +49 40 42878
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.

Publications

2025

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

Kazi Mohammad Abidur Rahman, Ulf Kulau, Rust Jochen14th International Conference on Modern Circuits and Systems Technologies (MOCAST)2025Accepted for publication.
[BibTex]

🗙

BibTex Entry

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

Close

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]

🗙

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},
}

Close

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]

🗙

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},
}

Close

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]

🗙

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},
}

Close

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

Leveraging Large Language Models for Efficient Labeling of Ballistocardiogram (BCG) Data

Typ: Masterarbeit
Status: offen
Supervisors: Kazi Mohammad Abidur Rahman
Project: AuRelia
Exploring LLM-assisted BCG signal labeling to develop a scalable, semi-automated annotation framework combining signal processing and prompt engineering.

Development of an FPGA fault injection mechanism via Fimware Modification

Typ: Forschungsprojekt
Status: reserviert
Supervisors: Kazi Mohammad Abidur Rahman
Project: AuRelia
In this project work / thesis an FPGA fault injection mechanism needs to be developed by modifing the firmware of the FPGA.

Development of an efficient Anomaly Detection Mechanism for Inertial Measurement Units (IMUs)

Typ: Forschungsprojekt
Status: reserviert
Supervisors: Kazi Mohammad Abidur Rahman
Project: AuRelia
In this project work different IMU anomaly detection mechanisms needs to be analyzed and implemented.