Retinal AI and Computational Ophthalmology
Retinal imaging, diabetic retinopathy, retinopathy of prematurity, screening, triage, clinical validation, and explainable ophthalmic AI.
Research laboratory
BASMIR Lab
Biomedical AI, Security and Medical Imaging Research.
A research group founded by Dr. Fakhri Alam Khan at KFUPM, bringing together biomedical AI, medical imaging, trustworthy systems, and cybersecurity.
05Research tracks
08PI-led projects
08Selected publications
06Lab members
About BASMIR
BASMIR Lab advances accurate, explainable, and secure computing for biomedical discovery, clinical decision support, retinal screening, and resilient digital infrastructure.
Our work connects biomedical AI with cybersecurity, privacy-preserving learning, multimodal medical imaging, cloud systems, and post-quantum security.
We organize collaborative research around focused tracks while encouraging cross-track projects that move from data and models to validated, useful systems.
Research tracks
Medical Imaging and Multimodal Biomedical AI
Medical image understanding, 3D point clouds, multimodal large language models, transformers, and decision support for biomedical applications.
Trustworthy and Privacy-Preserving AI
Federated learning, privacy, robustness, explainability, data-efficient learning, and reliable AI for sensitive health data.
AI-Driven Cybersecurity and Secure Healthcare Systems
Intrusion detection, malware analysis, blockchain security, secure healthcare infrastructure, and AI for resilient digital systems.
Post-Quantum Cryptography and Embedded Systems Security
Post-quantum cryptography, secure boot, side-channel and fault-attack resilience, embedded systems, IoT, and autonomous platforms.
Team members
Dr. Fakhri Alam Khan
Founder, BASMIR Lab
Mr. Inam ul Haq
KFUPM
Ms. Abeer Alshehri
KFUPM
Ms. Quratulain Arshad
KFUPM
Mr. Shahid Ali Bakhsh
KFUPM
Ms. Sarah Alissa
KFUPM
PI-led projects
Enhancing Performance and Attack Resilience of Kyber based Post Quantum Secure Bootloaders against Side-Channel and Fault Attacks in Embedded Systems
IN26098 · DROC, KFUPM · SAR 241,000 · 2026–2028
Deep Learning-based Workflow for Enhanced Bioactivity Prediction of Fungal Compounds
INSS2607 · IRC-ISS, KFUPM · SAR 37,500 · 2026
Deep Learning for Retinopathy of Prematurity: AI-based Detection and Triage of Plus Disease
JRC-AI-KKESH-02 · JRC-AI, SDAIA · SAR 30,000 · 2026–2027
Provenance-based Intelligent Search Framework for Cloud
SR211008 · DROC, KFUPM · SAR 73,230 · 2022–2023
Automated Detection of Diabetic Changes in Fundus Photographs
INSS2205 · IRC-ISS, KFUPM · SAR 111,300 · 2022–2024
Wearable Digital Forensics: A Framework to Identify Digital Evidence and Risk Factors that lead to Aggressive Behavior
INSS2301 · IRC-ISS, KFUPM · SAR 76,700 · 2023–2024
A Novel Formulation for Rapid and Precise Early-Stage Alzheimer’s Detection Using Deep Learning Models
JRC-AI-RFP-12 · JRC-AI, SDAIA · SAR 120,000 · 2023–2024
Automated Detection of Diabetic Retinopathy Severity using Self-supervised Learning and Embedded Knowledge Detection
JRC-AI-RG-06 · JRC-AI, SDAIA · SAR 150,000 · 2023–2024
Selected publications
Exploring 3D point clouds with multimodal large language model (MLLM): A review
S Alissa, M Usman and FA Khan · Image and Vision Computing, Volume 175.
DOI: 10.1016/j.imavis.2026.106202 ↗Multi scale self supervised learning for deep knowledge transfer in diabetic retinopathy grading
Scientific Reports · JIF 4.9 · Q1.
View publication ↗Diabetic retinopathy grading review: Current techniques and future directions
Image and Vision Computing · JIF 5.0 · Q1.
View publication ↗Leveraging Multimodal LLMs and Metaverse Technologies for Early Diagnosis of Elderly Diseases
IEEE Transactions on Computational Social Systems · JIF 4.6 · Q1.
View publication ↗Balancing privacy and performance in healthcare: A federated learning framework for sensitive data
Digital Health · JIF 3.9 · Q1.
View publication ↗Towards Practical Migration to Post Quantum SSH: System-Level Design and Evaluation
SA Baksh, IU Haq, T Helmy, FA Khan et al. · Frontiers in Computer Science, Volume 8 · JIF 3.4 · Q3.
DOI: 10.3389/fcomp.2026.1844445 ↗Explainable Disease Classification: Exploring Grad-CAM Analysis of CNNs and ViTs
Journal of Advances in Information Technology · Q4 / ESCI.
View publication ↗Static malware detection and attribution in android Byte-code through an end-to-end deep system
Future Generation Computer Systems · JIF 5.9 · Q1.
View publication ↗Research opportunities
Join BASMIR Lab.
We are actively looking for postdoctoral researchers and PhD candidates working in biomedical AI, medical imaging, cybersecurity, trustworthy and privacy-preserving AI, or post-quantum security.
If your research interests align with BASMIR Lab, please contact us with a brief research profile, CV, and selected publications.
Contact the lab