Sayeed Sajjad Razin

Sayeed Sajjad Razin

About

I am a Lecturer in the Department of Biomedical Engineering at Bangladesh University of Engineering and Technology (BUET), where I am also completing my MSc in Biomedical Engineering (expected March 2027).

My MSc thesis, in the mHealth Research Group under Dr. Taufiq Hasan and co-supervised by Dr. Tauhidul Islam (Stanford University School of Medicine), develops a general method for building cartographic representations of gene expression from spatial transcriptomics. These representations support downstream tasks such as cell-type classification and unsupervised clustering.

More broadly, I work on machine learning for health data. This has included respiratory rate estimation from lung sounds, bone mineral density prediction from hip X-rays, lung nodule detection in chest CT, and qPCR data analysis for public health surveillance. I have also contributed to PyHealth, an open-source toolkit for clinical deep learning, with Prof. Jimeng Sun’s group at UIUC.

I received my BSc in Biomedical Engineering from BUET, graduating 2nd in a class of 33.

Education

  1. MSc in Biomedical Engineering

    May 2025 – Present

    Bangladesh University of Engineering and Technology (BUET) · Dhaka, Bangladesh

    • CGPA: 4.00/4.00 in all 6 completed courses; only thesis requirements remain.
    • Expected completion: March 2027.

  2. BSc in Biomedical Engineering

    Feb 2020 – Mar 2025

    Bangladesh University of Engineering and Technology (BUET) · Dhaka, Bangladesh

    • CGPA: 3.91/4.00 (ranked 2nd of 33 students).

Work Experience

  1. Lecturer

    Nov 2025 – Present

    Dept. of Biomedical Engineering, BUET · Dhaka, Bangladesh

    • Theory courses: Machine Learning for Biomedical Engineers; Biomedical Instrumentation and Measurements; Biochemistry for Biomedical Engineers.
    • Lab courses: Biomedical Instrumentation and Measurements; Communicating Protocols for Biomedical Instruments; Biomedical Control Systems; Numerical Techniques; Human Physiology.
    • Capstone projects supervised: Point-of-Care cTnI Detection; Low-cost Loop-Mediated Isothermal Amplification.

  2. Software Engineer

    Mar 2025 – Sep 2025

    Dept. of Computer Science and Engineering, BUET · Dhaka, Bangladesh

    Principal Investigator: Dr. Taufiq Hasan.

    • Developed an AI-enabled web application to assist with online radiology image reporting under a World Bank–funded RIC, BUET initiative.

Research Experience

  1. Graduate Researcher

    May 2026 – Present

    mHealth Research Group, Dept. of Biomedical Engineering, BUET

    MSc thesis on a generalized method for creating cartographic representations of gene expression from spatial transcriptomics, for downstream tasks such as cell-type classification and unsupervised clustering. Supervised by Dr. Taufiq Hasan; co-supervised by Dr. Tauhidul Islam, Assistant Professor, Stanford University School of Medicine.

  2. PyHealth Research Initiative Member

    Nov 2025 – Mar 2026

    Sun Lab, Dept. of Computer Science, University of Illinois Urbana-Champaign

    Clinical AI research with Prof. Jimeng Sun through PyHealth.

    • Contributed to PyHealth by developing interfaces for audio processing and audio datasets and EEG datasets, and assisted with broader codebase updates.
    • Developed conformal prediction methods for EEG sleep-stage classification.

  3. Research Engineer

    Mar 2025 – Oct 2025

    mHealth Research Group, Dept. of Biomedical Engineering, BUET

    Principal Investigator: Dr. Taufiq Hasan.

    • Developed a TCN-RNN model with a novel pre- and post-processing pipeline for respiratory rate regression from lung sound recordings, in collaboration with Dr. Eric D. McCollum.
    • Designed a 3D YOLO-based model for lung nodule detection in chest CT scans.

  4. Undergraduate Researcher

    Jan 2024 – Mar 2025

    mHealth Research Group, Dept. of Biomedical Engineering, BUET

    BSc thesis: OsteoAssist: Bone Mineral Density Prediction from Hip X-ray Images using Deep Learning, supervised by Dr. Taufiq Hasan. Manuscript in preparation.

    • Curated a multi-task dataset of paired DXA results, hip/spine X-rays, and clinical metadata (NCT06652061).
    • Formulated a novel multi-directional adaptive contrastive loss that incorporates ancillary clinical data.

  5. Research Intern

    Dec 2023 – Feb 2025

    Emerging Infections and Parasitology Lab, icddr,b · Dhaka, Bangladesh

    Worked on two Gates Foundation–funded public health projects led by Dr. Mami Taniuchi.

    • Developed software to parse qPCR files and detect false-positive amplifications using ML.
    • Developed pipelines to analyze and visualize qPCR data, and a smartphone automation tool to aid data collection.
    • Designed an algorithm to estimate catchment population by analyzing sewage flow and population GIS data.

Publications

  1. PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning

    May 2026

    John Wu, Yongda Fan, Zhenbang Wu, Paul Landes, Eric Schrock, Sayeed Sajjad Razin, Arjun Chatterjee, Naveen Baskaran, Joshua Steier, Andrea Fitzpatrick, Bilal Arif, Rian Atri, Jathurshan Pradeepkumar, Siddhartha Laghuvarapu, Junyi Gao, Adam Richard Cross, Jimeng Sun

    International Conference on Machine Learning (ICML) 2026

  2. Making Conformal Predictors Robust in Healthcare Settings: A Case Study on EEG Classification

    Jul 2026

    Arjun Chatterjee, Sayeed Sajjad Razin, John Wu, Siddhartha Laghuvarapu, Jathurshan Pradeepkumar, Jimeng Sun

    Artificial Intelligence in Medicine (AIME) 2026

  3. BUET Multi-disease Heart Sound Dataset: A Comprehensive Auscultation Dataset for Developing Computer-Aided Diagnostic Systems

    Feb 2026

    Shams Nafisa Ali, Afia Zahin, Samiul Based Shuvo, Nusrat Binta Nizam, Shoyad Ibn Sabur Khan Nuhash, Sayeed Sajjad Razin, S.M. Sakeef Sani, Farihin Rahman, Nawshad Binta Nizam, Farhat Binte Azam, Rakib Hossen, Sumaiya Ohab, Nawsabah Noor, Taufiq Hasan

    Computer Methods and Programs in Biomedicine Update