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arman-dogru/README.md

Arman Doğru — log in to ArmanOS

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  • Use the shell to find your way.
  • Explore my journey.
  • Talk to Morpheus. He’ll guide you through questions about me and my work.
  • Race the evolutionary AI drivers I trained at Istanbul Park.

Where I’ve been

Nokia Bell Labs · Applied AI Researcher · 2026–present

I build semantic edge-cloud digital twins for urban mobility, connecting computer vision with real-time scene reconstruction.

NEXTCONLAB / Smart Connected Vehicles Innovation Centre · Applied AI Researcher · 2026

I worked on autonomous drones and UGVs: localization, multi-agent path finding, and RF geolocation.

Huawei Canada · Applied AI Researcher · 2025

I developed PANAMA, a network-aware multi-agent reinforcement learning framework, and worked on hallucination detection and mitigation for multi-agent LLM systems.

Things I’ve built

Project Focus
Ottawa Sionna RT Cellular Digital Twin Tracing cellular signals through Ottawa with NVIDIA Sionna RT.
Skate 3 Rust — Apple Silicon Bringing the open-source Skate 3 Rust Engine to native ARM64 macOS.
GSANet-DCNN Separating objects in video with guided slot attention.
Developer Performance Tracker GitHub analytics and pull-request review with LLMs.
One-Pixel Adversarial Attack Seeing how much a single pixel can change an image classifier’s answer.
LLM Bias Reduction Exploring fairness and bias reduction in LLMs and classifiers.

Research

  • Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins — Nokia Bell Labs · IEEE GLOBECOM 2026, accepted.
  • PANAMA: A Network-Aware MARL Framework for Multi-Agent Path Finding in Digital Twin Ecosystems — Huawei Canada · IEEE GLOBECOM 2025, first author.
  • Methods and Apparatus For Detecting and Mitigating Hallucinations in Autonomous Multi-Agent Systems — Huawei Canada · U.S. patent pending.

Take the grid

Nine evolutionary AI rivals. Three laps. Same car, same rules. See you at Istanbul Park.

Race on ArmanOS · Under the hood

Istanbul Park leaderboard


Find me on LinkedIn or Google Scholar, or send me a note.

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  1. ai-learns-flappy-bird ai-learns-flappy-bird Public

    Flappy Bird AI is a reinforcement learning project where an AI learns to play Flappy Bird using the NEAT (NeuroEvolution of Augmenting Topologies) algorithm. The AI trains multiple agents simultane…

    Python

  2. stock-predictions-LSTM stock-predictions-LSTM Public

    Stock Predictions using LSTM is a machine learning project that leverages Long Short-Term Memory (LSTM) networks to predict stock prices. The model is trained on historical data and forecasts futur…

    HTML

  3. fake-news-detection-mistral7B fake-news-detection-mistral7B Public

    Fake News Detection using Mistral7B is an honours research project by Arman Doğru at the University of Ottawa. This project leverages the Mistral7B large language model (LLM) to detect and classify…

    Jupyter Notebook

  4. car-rental-android-app car-rental-android-app Public

    Car Rental Android Kotlin Application developed using Android Studio. It is designed for car rental agencies, allowing them to create listings, while customers can browse available cars, make booki…

    Java

  5. bohnanza-card-game bohnanza-card-game Public

    Bohnanza is a C++ implementation of the popular card game Bohnanza. This project simulates the trading, planting, and harvesting mechanics of the original game, allowing players to manage their res…

    C++

  6. ai-powered-developer-productivity-dashboard ai-powered-developer-productivity-dashboard Public

    Developer Performance Tracker is a full-stack AI-powered tool designed to analyze and optimize developer productivity using Large Language Model (LLM) reasoning. This system identifies high-perform…

    JavaScript