M Mohammadi, TT Vu, HQ Ngo, M Matthaiou
Wireless & AI Researcher | Consultant | Educator
Helping researchers, engineers, and teams solve complex problems at the intersection of wireless communications and AI through research, consulting, and education.
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10+ Years
Research & Practice
Four interconnected pillars of expertise to support your journey in wireless communications and AI.
Academic publications, research projects, and collaborations advancing wireless communications and AI.
Learn moreStrategic guidance and hands-on expertise for organizations seeking to leverage wireless and AI solutions.
Learn moreOne-on-one coaching for individuals looking to accelerate their career in wireless and AI.
Learn moreCourses, workshops, and educational resources for mastering wireless communications and AI.
Learn moreApplied Work
Real-world impact through research and industry collaborations.
Developed the first comprehensive framework for cell-free massive MIMO supporting wireless federated learning. Enables privacy-preserving machine learning at scale over distributed antenna systems. Top Accessed Article on IEEE Xplore with 220+ citations.
Built automated document extraction pipeline using AWS Textract for OCR and Bedrock for intelligent data extraction. Achieved 75% reduction in processing time and cost per task, with 4x processing capacity.
Built an AI pipeline using RAG architecture, ChromaDB for vector storage, and AWS Bedrock for intelligent narrative synthesis. Reduced per-client labor by 80-90%, enabled 4x increase in client capacity, and achieved 5x faster content delivery.
Academic Work
Peer-reviewed research advancing the frontiers of ML, AI, and optimization.
M Mohammadi, TT Vu, HQ Ngo, M Matthaiou
CT Dinh, TT Vu, NH Tran, MN Dao, H Zhang
TT Vu, DT Ngo, NH Tran, HQ Ngo, MN Dao, RH Middleton
From the Blog
Thoughts on ML, AI, optimization, and bridging research with practice.
A comprehensive visual guide to understanding how attention mechanisms work in transformer models, from basic concepts to advanced variants.
Reflecting on my transition from academic research to industry ML, sharing the unexpected challenges and valuable lessons.
Step-by-step tutorial on building a production-ready ML pipeline using MLflow for experiment tracking, model versioning, and deployment.
Whether you're looking to solve a complex wireless or AI problem, level up your technical skills, or explore research collaboration, I'd love to hear from you.