Hey there!
I am an AI Engineer and Robotics Specialist interested in learning, designing, control, and dynamics of complex systems. I am driven by a simple belief: to truly understand a system, you have to build it yourself. This principle has shaped my decade-long practice of designing, implementing, and deploying intelligent systems, from high-performance controllers and decentralized learning algorithms to embodied robotic collectives. With a background in dynamics, state estimation, and control, I specialize in the full lifecycle of intelligent systems: from mathematical modeling and data-driven simulation to real-world deployment.
These days, I am extending my expertise into AI-driven automation and full-stack development. My focus is on managing the entire development cycle—integrating data science backend logic with functional front-end interfaces and testing frameworks. I have become the person people go to for solving intricate challenges end to end.
Gazebo 
Webots 
Embedded Systems 
TensorFlow 
PyTorch 
Python 
C++ 
Julia 
CUDA 
Qt 
Docker 
CI/CD 
Git & GitHub 
Node.js 
Gemini CLI 
Claude Code 
n8n 
2021-2024 / Berlin, Germany, SCIoI
Augmented Reality, Human-Robot Interaction, C++, Computer Vision
An open-source framework that links physical robot collectives to virtual environments through projected light. A single pipeline handles marker-free detection, real-time tracking, and projection, built on an MVC architecture so researchers can start experiments without assembling custom tracking hardware first.
2024 / Berlin, Germany, SCIoI
Network Science, Bayesian, Complex Systems, Python
A Bayesian model of opinion dynamics in which agents represent beliefs as Gaussian distributions and continuously reweigh social influence against their own uncertainty, rather than relying on fixed trust weights. Published in Scientific Reports (Nature), the work shows how network centrality and information quality jointly determine how fast, and how accurately, a group converges on consensus.
2025 / Berlin, Germany, SCIoI
Agent-Based Modeling, Complex Systems, Collective Systems, Python
Studies why echo chambers persist in social systems and introduces Messengers: agents that switch state under stochastic dichotomous noise to disrupt metastable polarization. Published in npj Complexity (Nature), the work combines agent-based modeling with statistical physics to identify the critical agent density a fragmented network needs to reach consensus.
2025 / Berlin, Germany
Monte Carlo Sim, Geospatial Analysis, React, TypeScript
A route-planning prototype that predicts arrival times as a probability range instead of a single number. Each route gets a Trust Score, computed from weather, traffic, incident data, and route geometry, to make clear how reliable the estimate actually is.
2011-2015 / K. N. Toosi University of Technology
Robotics, Multi-Agent Systems, C++, Qt
KN2C is a Small Size League (SSL) robot soccer team: a fleet of omnidirectional mobile robots coordinated through low-latency vision processing and multi-agent strategy. The robots operate at high speed, executing precise ball handling and tactical plays in a fully dynamic, adversarial environment.
Raoufi, M., Romanczuk, P. & Hamann, H.
Raoufi, M., Hamann, H., & Romanczuk, P.
Raoufi, M., Mengers, V., Brock, O., Hamann, H., & Romanczuk, P.
Raoufi, M., Romanczuk, P. & Hamann, H.
Raoufi, M., Romanczuk, P., Hamann, H.
Raoufi, M., Hamann, H., Romanczuk, P.
Nobahari, H., Raoufi, M., Sharifi, A.
Interested? Just drop me a line...
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