Yavar Yeganeh

   PhD Researcher | Politecnico di Milano
   Machine Learning | DL • Graph/Geometric NNs • RL • Robotics

I am available for collaboration — feel free to reach out!

Experience

Research Fellow | Department of Mechanical Engineering | Politecnico di Milano

  • Deep Representation Learning, Graph Machine Learning, & Generative Models
  • Reinforcement Learning & Model-based Agents
  • Applications in Manufacturing, especially Semiconductor Fab Process Control
02'23 - Present

Research Assistant | Machine Learning and Graph Mining Lab | Faculty of Mathematical Sciences | SBU

  • Graph Neural Networks, Deep Learning, and Reinforcement Learning for Multiple Applications
  • Graph Representation Learning for Molecular Property Prediction
  • Applications in Drug Discovery, Healthcare, and Computer Vision
  • Informed Machine Learning
2019 - 01'23    

Teaching Assistant | Faculty of Mathematical Sciences | SBU

2020 - 2022    

Plasma Science Group | Faculty of Physics | SBU

  • Numerical Simulation of Electromagnetic Waves in Magnetized Plasma
  • Machine Learning and Computational Methods for Physics Research
  • Collaborating with Particle Physics Group on Machine Learning
2017 - 2019    

Research Interests

  • Probabilistic Machine Learning and Generative Models
  • Representation Learning for Graphs and Structures (e.g., knowledge and higher-order)
  • Discovering Latent and Causal Structures in Data
  • Reinforcement Learning, Agentic, and Reasoning Models
  • Active Inference and Continual Learning
  • Development of Generalizable Foundational Models
  • Mathematically-, neuroscience-, and physics-inspired machine learning models and analyses
  • Improving Generalization, Explainability/Interpretability, and Causality
  • Domain-Informed and Hybrid Models
  • Applications: Manufacturing, Robotics, Bio- & Chem-informatics, and Physics

Publications

Presentations

  • Deep Active Inference Agents for Delayed and Long-Horizon Environments
    The 11th Machine Learning, Optimization, and Data Science, September 22, 2025 — Tuscany, Italy

  • Deep Learning for Data-Driven Modeling in Flexible Job Shop Environments
    The 5th Mathematical and Scientific Machine Learning, August 6, 2025 — Naples, Italy

  • Deep Learning Meets Active Inference for Digital Twin Applications in Energy-Efficient Control of Parallel Machines
    The 4th Digital Twin International Conference, October 16, 2024 — Milan, Italy

  • Graph Machine Learning and Dynamic Models & Relational and Structured Learning Models for Dynamical Systems
    Deep Learning & Graph Machine Learning Seminars, Data Science Center, SBU, 2020 — Tehran, Iran

  • Machine Learning for Differential Equations and Physics-Informed Neural Networks
    Deep Learning Meeting, Data Science Center, SBU, December 25, 2019 — Tehran, Iran

  • Machine Learning in Plasma Physics & Advancements in Computational Plasma Physics: Intelligence and Data Science
    Plasma Physics Seminars, Faculty of Physics, SBU, October 18 & 15, 2019 — Tehran, Iran

  • Study on Absorption of Electromagnetic Waves in a Weakly Magnetized Plasma
    Physics Colloquium, Department of Physics, SBU, August 26, 2019 — Tehran, Iran

  • Deep Learning for ATLAS Open Data Based on TMVA Package
    CODATA-RDA Research Data Science Advanced Workshop, ICTP, August 23, 2019 — Trieste, Italy