Hi There! I'm Amirabbas, Currently an independent researcher in Computer Science and AI

• Probabilistic Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Programming
  • Deep Generative Models : Energy-Based Models, VAE, Normalizing Flows, Diffusion Models
  • Approximate Bayesian Inference (MCMC, VI)
• Reinforcement Learning & Multi-Agent Systems
• High-Performance Scientific Computing
  • Parallel and Distributed Programming
  • Simulation
  • Numerical Linear Algebra
  • Developing ODE/PDE/SDE solvers

• Programming : C/C++, Julia, Python
• Parallel and Distributed Programming
  • CPU Parallel Programming: OpenMP, TBB
  • GPU Programming: CUDA
  • Distributed Programming: MPI
  • Hybrid Parallelism
• Deep Learning: PyTorch, JAX
• Graph Learning: PyTorch Geometric
• Image Processing: OpenCV
• Probabilistic Programming: Pyro, PyMC3, JAGS
• Physics Simulation
• 2D/3D Data Visualization
• Git, Linux and Bash script
• LaTeX

• MSc Applied Mathematics
  • Sharif University of Technology
  • Field: Stochastic Mathematics & Data Science
• BSc Computer Engineering
  • Bu-Ali Sina University
  • Graduation: 2022
  • GPA: 3.92/4.0

• RockyML: A high-performance scientific computing framework
• MetaTS: Meta-Learning for Time Series Forecasting
• AugmentTS: Data Augmentation Time Serie Data using Deep Generative Models
• Neural Fractal: Generating Fractals using Complex-Valued Neural Networks
• Babai: A C++ Optimization Library
• Shotor: An Open OCR dataset for Persian