Resume

• 2009

  Phd.

  Real algebraic geometry

  sums of squares

  optimization and functional analysis.

  Mathematics

  University of Saskatchewan

• 2002

  Master of Science

  Mathematical Logic

  Tarbiat Modares University

• 1998

  German

  Persian

  English

  Bachelor of Science

  Mathematics

• LaTeX

  Optimizations

  C++

  Computer Science

  Research

  Sage

  Algebraic Geometry

  Numerical Analysis

  Python

  Mathematical Modeling

  Cryptanalysis

  Maple

  Matlab

  Programming

  Algorithms

  Science

  Optimization

  Mathematica

  Scientific Computing

  Algebra

  CO2 Adsorption on Activated Carbon: Equilibrium

  and Kinetics of Fixed-Bed Isothermal Adsorption

  CO2 Adsorption on Activated Carbon: Equilibrium

  and Kinetics of Fixed-Bed Isothermal Adsorption

  Seminormed star subalgebras of bounded functions

  Lower bounds for polynomials using geometric programming

  Privacy Preserving Multi-party Machine Learning with Homomorphic Encryption

  Closure of the cone of sums of 2d-powers in real topological algebras

  Lower bounds on the global minimum of a polynomial

  Closure of the cone of sums of 2d-powers in certain weighted l1-seminorm topologies

  Beatty sequences and the arithmetical hierarchy

  The Application of Machine Learning to a Risk/Need Assessment Instrument(LS/CMI) in the Prediction of Offender Recidivism

  Lower bounds for a polynomial in terms of its coefficients

  Application of Jacobi's Representation Theorem to locally multiplicatively convex topological R-Algebras

  Moment Problem in Infinitely Many Variables

  Moment Problem for Symmetric Algebras of Locally Convex Spaces

  The moment problem for continuous positive semidefinite linear functionals

  Irene is a python package that aims to be a toolkit for global optimization problems that can be realized algebraically. It generalizes Lasserre's Relaxation method to handle theoretically any optimization problem with bounded feasibility set. The method is based on solutions of generalized truncated moment problem over commutative real algebras.

  Optimithon

  An experimental implementation of some standard optimization methods.

  SKSurrogate

  SKSurrogate is a suite of tools which implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).

  pyProximation

  Originally written to solve systems of integro-differential equations via collocation method in an arbitrary number of variables. The current implementation of the method is based on a finite dimensional orthogonal system of functions.

  Ghasemi

  Mehdi

  Ghasemi

  University of Saskatchewan

  Omigaman Ltd

  University of Saskatchewan

  IPM - Institute for Research in Fundamental Sciences

  University of Saskatchewan

  Nanyang Technological University

  MAU of T

  University of Saskatchewan

  University of Konstanz

  Government of Saskatchewan

  Research on real algebraic geometry

  moment problem and optimization.

  Postdoctoral Researcher

  Konstanz Area

  Germany

  University of Konstanz

  Nanyang Technological University

  Programmer

  PHP+MySQL

  Omigaman Ltd

  Researcher

  Iran

  IPM - Institute for Research in Fundamental Sciences

  Phd. Student

  Thesis title: Polynomial Optimization and the Moment Problem

  University of Saskatchewan

  Data Scientist

  Regina

  Canada

  Government of Saskatchewan

  University of Saskatchewan

  Saskatoon

  Saskatchewan

  Canada

  Adjunct Professor

  Technically

  Advanced studies on several cryptosystems especially \"AES\" and public key systems related to \"Elliptic Curves\" which is mathematically rich and closely connected to algebraic geometry.

  MAU of T

  Postdoctoral Researcher

  University of Saskatchewan

  University of Saskatchewan

  Fast methods for polynomial optimization.

  Research Visitor

  Saskatchewan

  Canada