MD AL RAFI

AI Researcher · Cybersecurity Specialist

Best Paper Award – IEEE RAICON 2024 · 15+ Peer-Reviewed Publications · 190+ Citations

Based in Maryland, USA

CV View Research & Publications Contact for Collaboration

I work at the intersection of AI, cybersecurity, and financial systems, focusing on fraud detection, healthcare analytics, and intelligent decision support. My research spans self-supervised learning, transformers, time-series forecasting, and NLP, with deployments and publications in IEEE, Springer, Elsevier, and other international venues.

Learn more → About

Key Contributions

MiniBert24

Lightweight Transformer for Financial Prediction

Designed a compact transformer model for stock movement and financial forecasting, optimized for real-time deployment.

View paper

Hybrid TCN–Transformer

Sales & Time-Series Forecasting

Developed a hybrid temporal convolutional and transformer architecture for accurate, scalable forecasting.

View paper

CCFD-SSL

Self-Supervised Fraud Detection

Award-winning framework using self-supervised learning for real-time credit-card fraud detection.

View paper

Emotion-Aware Topic Modeling

Market Sentiment Analysis

Proposed a joint topic–emotion modeling approach to better understand investor sentiment.

View paper

15+

Peer-Reviewed Publications

190+

Citations

1

Best Paper Award

2

IP Assets (Patent/Design)

What I Work On

FinTech & Fraud Detection

Real-time credit-card fraud detection, algorithmic trading, and customer lifetime value forecasting using advanced ML models.

Healthcare Analytics

Hospital length-of-stay prediction, federated learning for privacy-preserving analytics, and intelligent decision support systems.

Cybersecurity & Threat Detection

AI-based threat detection, GRC (Governance, Risk, and Compliance), and cybersecurity training and advisory roles.

Interested in research collaboration, speaking engagements, or consulting?

Specializing in AI-driven fraud detection, healthcare analytics, and cybersecurity.

Get in Touch