About me

I work on deep learning for medical images and biomedical signals.

I’m an MSc student in Biomedical Engineering at Linköping University. I am interested in medical images and generative models, mostly with label-efficient methods such as self- and semi-supervised learning.

Before that I did research at BRAC University in Dhaka on MRI denoising, sleep staging, fall detection, a brain-controlled rehabilitation glove and a low-cost electronic stethoscope.

Outside my academic work, I enjoy building smaller projects like Android apps or SaaS products.

Experience

Nov 2024 – Jul 2025
Research Assistant
Dept. of CSE, School of Data and Sciences, BRAC University
Worked on an EEG-controlled glove for stroke rehabilitation and a low-cost 3D-printed MEMS stethoscope.
May 2024 – Jul 2025
Researcher and Project Manager
Biomedical Science and Engineering Research Center, BRAC University
Worked on MRI denoising with diffusion models and built low-cost, high-SNR filters for biological signals.
Dec 2023 – Jul 2025
Research Assistant
Dept. of EEE, BSRM School of Engineering, BRAC University
Proposed AttDiCNN, a deep learning model for automatic sleep staging, and worked on fall detection for elderly people using portable devices.
Jul – Sep 2023
Embedded System Engineer Intern
FactoryNext, Dhaka
Built an MQTT-based factory monitoring module and an IR signal decoder by reverse engineering.
Jul – Sep 2023
Senior Researcher
Laboratory of Space Systems Engineering & Technology, BRAC University
Part of the camera team for a 3U CubeSat, checking component requirements and compatibility.
Dec 2019 – Jan 2022
Android Application Developer
Global Dream Pvt. Ltd., India
Led the company’s Android app from start to finish: the UI design, the backend API and the app itself, written in Java and Kotlin.

Education

2025 – Present
MSc in Biomedical Engineering
Linköping University, Sweden
2019 – 2023
BSc in Electrical and Electronic Engineering
BRAC University, Bangladesh

Research grants

Advancing Sustainable Biosensing: A Self-powered Biosensor for Real-time and Wireless Health Monitoring
Co-PI · RSGI, BRAC University
Brain-Computer Interface Driven Neural Rehabilitation for Motor Dysfunction Patients with Soft Robotic Gloves
Co-PI · Ministry of Science and Technology, Bangladesh; RSGI, BRAC University
Design and Development of a 3D-printed MEMS-based Stethoscope for Real-time Heart Monitoring and Cardiovascular Disease Prediction
Research Assistant · RSGI, BRAC University

Skills

Languages: PythonC/C++JavaKotlin
ML frameworks: PyTorchTensorFlowHugging Face
ML methods: SegmentationDiffusion modelsSelf- and semi-supervised learningTransfer learningExplainability
Medical imaging: MRI · CT · X-rayDICOM · NIfTIITKpydicomOpenCV
Signals: EEG and ECG analysisEDF+MNE-Pythonlibrosa
Data & plots: NumPypandasSPSSMatplotlibseabornPlotly
Embedded & mobile: STM32ESP32Android
Backend: APIsPostgreSQLMySQLFirebaseDockerCloud GPUs
Other tools: MATLABSimulinkLaTeXZotero

Honors & Awards

2024IEEE R10-HTC Innovation Challenge, Silver awardIEEE HTC, Kuala Lumpur
2024Quality Journal Publication AwardBRAC University
2022JAXA Kibo Robot Programming Challenge, 7th place globallyJAXA, with NASA

Beyond research

Outside research, I love building mobile apps and SaaS products. I also volunteered with the Agami Education Foundation in Dhaka, visiting different schools to help underprivileged children with books, study materials, reading and writing.

Mobile apps
SaaS
Education outreach