Research & development
A research foundation.
An applied perspective.
Amin Lotfolahi · Ph.D. in Computer Science and Information Engineering
Fatol AI supports research-heavy AI work where algorithms need to be understood, implemented, tested, and explained clearly. The focus is on deep reinforcement learning, multi-agent systems, optimization, edge AI, and resource-allocation problems.
View research profileSelected publications
Published research.
A multi-agent proximal policy optimized joint mechanism in mmWave HetNets with CoMP toward energy efficiency maximization
A Multi-Agent DRL-Based Power Allocation Mechanism for Multi-Cell NOMA Networks
Applied research
From a paper
to a tested idea.
- Reproduce and implement algorithms from papers
- Design experiments, baselines, ablations, and evaluation workflows
- Improve technical writing, figures, and research presentation
- Turn research ideas into simulations, prototypes, or working systems
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like to build?
Tell me about the workflow, the challenge, or the idea.
We can work out a practical next step.