About Me

I’m Amirhossein Rezaei, a physicist and currently a Physics of Data (M.Sc.) student at the University of Padova.
People often describe me as an “adjustable wrench”; I gravitate toward whatever problem needs solving, especially when physics and computation intersect.

Academic & Research Path

My journey began at Shahid Beheshti University, where I completed my B.Sc. in Physics and discovered my enthusiasm for combining theoretical models with computational tools.

Early Work: Cosmology & High-Energy Physics

My initial research focused on hypermagnetic fields and baryogenesis, leading to publications in:

• Nuclear Physics B (2025)
• Physical Review D
• Additional work on hypermagnetic field evolution and matter–antimatter asymmetry

These experiences introduced me to numerical analysis, simulation techniques, and computational physics frameworks.

Machine Learning & Complex Systems

Later, I led a project using 1D-CNNs with Bayesian hyperparameter optimization and Neural Architecture Search for structural collapse prediction in earthquake time-series.
The work is currently under review, with a preprint available.

Quantum Information & Ising Machines

Most recently, in the Quantum Information and Computation Group at SBU, I worked on fully connected Ising Hamiltonians and their applications to optimization problems such as:

• QUBO
• k-SAT
• Traveling Salesman Problem

Our paper, “Continuous Approximation of the Ising Hamiltonian: Exact Ground States and Applications to Fidelity Assessment in Ising Machines”, is published in Physical Review E.

If you’d like an intuitive overview, I created a SoME4 explainer video that walks through the core ideas behind this research:

Watch here:

You can also explore more content on my YouTube channel, where I share physics explainers, research stories, and animations.

Skills & Approach

I enjoy approaching problems from multiple angles: physics intuition, mathematical structure, and computational efficiency.
My technical background includes:

Programming: Python, C, C++, Fortran, MATLAB, Mathematica, Maple
Libraries & Tools: PyTorch, TensorFlow, Keras, SciPy, Pandas, MNE, Matplotlib, NumPy, Git, LaTeX
Languages:

• Persian (Native)
• English (C1 – IELTS 7.5)
• Azerbaijani
• Turkish

Perspective

Whether it’s quantum systems, machine learning, or complex dynamical models, I enjoy building tools and ideas that reveal deeper structure behind complex systems. I value clarity, adaptability, and curiosity, and I welcome meaningful collaboration.

Feel free to explore my work or reach out anytime.