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caferavci/README.md

Hi, I'm Cafer πŸ‘‹

πŸš— Researcher, Developer, and Lecturer focused on AI for Mobility, Traffic Simulation, and Autonomous Systems
PhD-level researcher and current Lecturer of "Digital Systems Modeling with Generative AI" at Cornell University. I specialize in building AI-powered, scalable systems for intelligent transportation, mobility modeling, and connected autonomous vehicles. Passionate about combining rigorous systems thinking with practical, open-source development.

πŸ’‘ Currently expanding into Large Language Models (LLMs), generative agents, and deep learning to enhance mobility simulations, routing intelligence, and digital twin frameworks for smart cities.

πŸ” Areas of Interest & Collaboration

I'm actively open to collaboration, research partnerships, or co-development in the following areas:

  • πŸ€– AI for Traffic Systems: Multi-agent behavior modeling, deep RL for vehicle and traveler simulation
  • 🚘 Autonomous Vehicles: Multi-vehicle collaborative driving, motion planning, trajectory optimization
  • πŸ“Š Traffic Modeling & Optimization: Vehicle routing, dynamic traffic assignment, operations research
  • πŸ› οΈ Open-Source Simulation Tools: SUMO-based frameworks, traffic control APIs, agent-based extensions
  • 🌐 Multi-Resolution Modeling: Integrated microscopic and macroscopic traffic flow simulations
  • 🧠 Generative AI & LLMs: Memory-aware agents, BERT/GPT for travel demand modeling, AI-based behavior generation
  • πŸ›°οΈ Digital Twins & Smart Cities: Real-time mobility simulations, emissions modeling, IoT-data integration

πŸ§‘β€πŸ« Academic Teaching

πŸŽ“ Lecturer β€” Digital Systems Modeling with Generative AI
Cornell University
Designed and currently teaching a graduate-level course exploring the intersection of digital twin modeling, generative AI, and system-level simulation. Topics include multi-agent simulation, LLM-driven demand generation, and applied ML for city-scale systems.

πŸ”§ Tech Stack

  • Languages: Python, C++, MATLAB
  • AI/ML: Scikit-learn, TensorFlow, PyTorch, Hugging Face, OpenAI API
  • Simulation: SUMO, TraCI, Deep Gravity Models, Aimsun
  • Visualization: Plotly, MatplotLib, Deck
  • Tools: Git, Docker, VS Code, CI/CD workflows

πŸ“« Let’s connect if you're working on innovative AI projects, transportation technologies, or scalable simulation frameworks. I'm open to collaborations, academic-industry partnerships, and open-source development.

Links πŸ“±

You can find me on the following platforms or send me an email:

Pinned Loading

  1. asu-trans-ai-lab/DLSim-MRM asu-trans-ai-lab/DLSim-MRM Public

    Open-source Python package designed for integration of deep learning (first DL) and traffic simulation, by extending original C++ based structure of DTALite (second DL)

    Jupyter Notebook 22 8

  2. MPCAV MPCAV Public

    Quadratic Programming and Model Predictive Control Based Trajectory Optimization for platoons of equipped Cooperative Adaptive Cruise Control (CACC) Vehicles

    C++ 17 1

  3. DPCAV DPCAV Public

    Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models.

    C++ 10 3

  4. DLSim DLSim Public

    Forked from asu-trans-ai-lab/DLSim-MRM

    Open-source Python package designed for integration of deep learning (first DL) and traffic simulation, by extending original C++ based structure of DTALite (second DL)

    C++ 1