Yavar Taheri Yeganeh
Researcher | Machine Learning | DL • Graph/Geometric NNs • RL • Robotics
Politecnico di Milano
Politecnico di Milano
✷ Deep learning, Graph Machine Learning, Reinforcement Learning & AI-Based Decision Making
✷ 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
✷ (Head TA) Deep Learning | Graduate Course | Fall 2020 | Repository | Recitation Page
✷ (Head TA) Applied Machine Learning | Graduate Course | Spring 2020 | Repository | Recitation Page
✷ Applied Machine Learning | Graduate Course | Fall 2021 | Repository
✷ Mentoring Studens' Projects
✷ Numerical Simulation of Electromagnetic Waves in Magnetized Plasma
✷ Machine Learning and Computational Methods for Physics Research
✷ Collaborating with Particle Physics Group on Machine Learning
✷ Advanced Studies in Electrodynamics, Quantum Physics, Statistical Physics, and Computational Physics
✷ Thesis: Study on Absorption of Electromagnetic Waves in a Weakly Magnetized Plasma
✷ Diverse Studies in Engineering, Including Electrical, Mechanical, Control, and Robotics Domains
✷ Thesis: Design, Study and Construction of a (Simplified) Magnetic Robot
✷ Learning Models for Graphs and Structured Data
✷ Methods for Learning Structures (e.g., Graphs) in Data
✷ Deep Learning Enhanced-Decision-Making and Reinforcement Learning
✷ Probabilistic/Bayesian Machine Learning along with Active Inference (and Predictive Coding)
✷ Mathematically (including Statistically) along with Neuroscience, and Physics -Inspired/Justified Machine Learning Models/Analyses
✷ Improving Generalization, Explainability/Interpretability, and Causality
✷ Improving Learning with Informed and Interacting Models with Domain Knowledge
✷ Effective Utilization of Machine Learning in Scientific and Industrial Applications
✷ Intersection of Deep Learning and Intelligent Decision-Making for Smart Industries/Manufacturing | 2023-
✷ Intersection of Reinforcement Learning, Knowledge Graphs, and Graph Neural Networks | 2022-
✷ Graph Machine Learning, Notably for Molecular Applications | 2020-
✷ Informed/Hybrid Machine Learning | 2020-
✷ Machine Learning in (Computational, Plasma, Particle) Physics and Data Analysis | 2017-22
✷ Computational Resonance of Electromagnetic Waves in Magnetized Plasma | 2017-19
✷ Design, Study and Construction of a (Simplified) Magnetic Robot | 2015-16
✷ Deep Learning Enabling Digital Twin Applications In Production Scheduling: Case Of Flexible Job Shop Manufacturing Environment Co-Author, Winter Simulation Conference (2023)
✷ FunQG: Molecular Representation Learning Via Quotient Graphs Co-Author, Journal of Chemical Information and Modeling (2022)
✷ Study on Absorption of Electromagnetic Waves in a Weakly Magnetized Plasma Author, Shahid Beheshti University (Thesis) (2019)
✷ Graph Machine Learning and Dynamic Models
Data Science Seminar, Data Science Center, SBU, 13th October '20, Tehran, Iran
✷ Relational and Structured Learning Models for Dynamical Systems
Graph Machine Learning Meeting, Data Science Center, SBU, 29th March '20, Tehran, Iran
✷ Machine Learning for Differential Equations and Physics Informed Neural Networks
Deep Learning Meeting, Data Science Center, SBU, 25th Dec '19, Tehran, Iran
✷ (Co-Organizer and Local Host) ATLAS (CERN) Experiment Virtual Visit: LHC Physics and Data Analysis
Physics Colloquium, Department of Physics, SBU, 3rd Dec '19, Tehran, Iran
✷ Machine Learning in Plasma Physics
Plasma Physics Seminar, Department of Physics, SBU, 15th Oct '19, Tehran, Iran
✷ Recent Advancements in Computational Plasma Physics: Intelligence and Data Science
Plasma Physics Seminar, Department of Physics, SBU, 8th Oct '19, Tehran, Iran
✷ Study on Absorption of Electromagnetic Waves in a Weakly Magnetized Plasma
Physics Colloquium, Department of Physics, SBU, 26th Aug '19, Tehran, Iran
✷ Deep Learning for ATLAS Open Data based on TMVA Package
CODATA-RDA Research Data Science Advanced Workshop, ICTP, 23th Aug '19, Trieste, Italy