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Repository for the journal article, 'FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices', Mahbub Ul Alam, Rahim Rahmani. Sensors 23, no. 2: 970, https://doi.org/10.3390/s23020970.

Care aims to create an IoT solution to hospitals interconnecting smart monitors to decrease the time a doctor takes to respond to an emergency.

A private blockchain developed in Ethereum for a network of Raspberry Pis

✨✨ 📡 Official repository of paper "Robust Biometric Information Sensing With mmWave Radar System-on-Chip" (IEEE TMC) ✨✨

Repository for the journal article, 'Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application', Mahbub Ul Alam, Rahim Rahmani. Sensors 21, no. 15: 5025, https://doi.org/10.3390/s21155025.

In this repo, the implementation of paper named "A Minimalistic Yet Effective Domain Adaptation Strategy for IoMT Network Intrusion Detection" is provided.

A cross-layer IoMT anomaly detection dataset with real traffic, labeled attacks, and FGSM/PGD adversarial samples for robust security research.

IoMT risk education platform built from 28 years of clinical emergency medicine and lived device dependency. Real failure scenarios. No hypotheticals.

Creating a Personal Medical Record (PMR) through context-aware means

Healthcare Cybersecurity Strategist | IoMT & Medical Device Security | Featured Defender — Midnight in the War Room, Black Hat USA 2026

Analysis of how to reduce information leaking in IoMT scenario by means of ML tools. Test of network functionalities in a lorawan architecture.

Unsupervised anomaly detection on patient vitals (IoMT) using Isolation Forest, with clinical interpretation, and a Streamlit demo.

Systematic review of federated learning for privacy-preserving medical image analysis (2020–2026)

MCA - Anna University Affiliated Colleges - Embedded Systems and IOT,

A Standards-Aligned IoMT Federated Learning and Blockchain Framework for MITM Mitigation and Risk Quantification using NS-3. Insights to be presented by R. M. Rajab at The 2nd IEEE 2026 International Conference on Cybersecurity and AI-Based Systems (Cyber-AI 2026) hosted on 22-25 Sept. 2026 at the Romanian-American University in Bucharest, Romania

Open-source IoMT risk toolkit: CSV→XLSX (CI), EBIOS RM Light notes, planning skeleton.

IoMT network traffic over MQTT classification as malicious/benign. Compares multiple ML models and techniques for addressing feature selection, scaling, and class imbalance.

Azure Health Data Services APIs.json profile

Complete Jupyter notebook series for the graduate-level course on XAI for Healthcare.