Hamid Shafieasl - Homepage

Professional Summary

PhD student in Artificial Intelligence with a previous PhD in Mathematics (Harmonic Analysis). My research and coursework focus on large-scale data analysis, machine learning, algorithmic reasoning, geometric computation, and intersections between mathematics and computer science. I work with graph algorithms, signal sampling approaches, shape analysis methods, reinforcement learning techniques, and computational geometry.

Education

Ph.D. in Computer Science (Artificial Intelligence), University of Utah — Expected 2029
Ph.D. in Mathematics, Azerbaijan Shahid Madani University — 2019
M.Sc. in Mathematics, Azerbaijan Shahid Madani University — 2011
B.Sc. in Mathematics, Azad University of Tabriz — 2009

Graduate Coursework

High-Dimensional Data Analysis
Data Mining
Artificial Intelligence
Machine Learning

Technical Skills

Programming: Python, Object-Oriented Programming, numerical and scientific computing
Data & Algorithmic Skills: High-dimensional data handling, signal sampling methods, noise reduction, graph algorithms (PageRank, Dijkstra), search methods, optimization techniques
Machine Learning & AI: supervised/unsupervised learning, reinforcement learning (policy methods, search strategies), classification, feature extraction, model evaluation
Computational Geometry & Shape Analysis: geometric reasoning, 2D object classification, star-shaped and non-star-shaped structural analysis (including new research submission)
Mathematics: harmonic analysis, linear algebra, probability, differential equations, complex analysis, discrete structures
Tools: NumPy, SciPy, Matplotlib, Rhino-Grasshopper (rhinoscriptsyntax)

Research & Projects

Computational Geometry (Submitted Paper): Developed an interdisciplinary method for analyzing star-shaped and non-star-shaped objects in 2D space. The work bridges mathematical structure with computer science applications such as shape recognition, boundary representation, and geometric decision-making.
Geometric Origami Modeling: Used Python + Rhino-Grasshopper to study curved origami behavior with mathematical and algorithmic insights.
Discrete Curve Geometry: Investigated curvature, torsion, and shape properties of sampled curves for use in graphics and CAD.

Professional Experience

Python Instructor, Private Institutes (2020–Present)

Taught Python with focus on data workflows, algorithm design, and machine learning fundamentals.

Mathematics Lecturer, Azerbaijan Shahid Madani University (2010–2018)

Taught Linear Algebra, Calculus, Analysis, Differential Equations, Complex Functions, Discrete Mathematics.
Guided students in mathematical thinking applied to algorithms and computational tasks.