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Hire Dr. Mehdi G.

Canada

USD 50 /hr

Mathematician & Data Scientist | Expert in Python

Profile Summary

I am a mathematician with a strong inclination toward data science. My academic background and research interests circle around Moment Problem, Optimization, Real Algebraic Geometry, Functional Analysis and Cryptography that are strongly interconnected. The Maze begins somewhere on the crossover of Real Algebraic Geometry and Functional Analysis, spins off towards the General Moment Problem and then Optimization. I have always been interested in Cryptography and was able to contribute to the academic frontend of research on Homomorphic Encryption systems and computation over encrypted data. Currently, I am working as a Senior Scientist- Mathematician for Edmonton Police Service, Canada, modelling internal processes of EPS in search for improvements to serve the citizens as effectively as possible. Previously, I worked as a data scientist for the Government of Saskatchewan, Canada, performing predictive analytics for the Child Welfare system and Corrections and the Justice system. To maximize the efficiency of the tools I use for work, I apply my knowledge about optimization to find optimal machine learning pipelines for my daily projects. The automized procedure has been published as a python package that uses Surrogate optimization and Evolutionary optimization methods to get the job done (https://github.com/mghasemi/sksurrogate). I have been involved in machine learning research projects involving typical machine learning algorithms including deep neural networks and continue collaboration with my colleagues all around the world. Overall, any sort of problem involving data, statistical analysis, optimization and machine learning potentially captures my attention.

Subject Matter Expertise

• ☆ Cryptography
• ☆ Computer Simulation/Computational Modeling
• ☆ Machine Learning
• ☆ Deep Learning
• ☆ Bayesian Statistics
• ☆ Mathematical Statistics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Crime & Criminology
• ☆ Child & Adolescent Welfare

Services

• Research
• Consulting
• Data & AI
• Product Development

Work Experience

Senior Scientist- Mathematician

Edmonton Police Service

June 2020 - Present

Adjunct Professor at Department of Mathematics & Statistics

University of Saskatchewan

November 2018 - Present

Data Scuentist

Government of Saskatchewan

August 2017 - May 2020

Postdoctoral fellow

University of Saskatchewan

May 2014 - August 2017

Postdoctoral fellow

Nanyang Technological University

February 2013 - April 2014

Postdoctoral fellow

Universitat Konstanz

September 2012 - December 2012

Education

PhD (Mathematics and Statistics)

University of Saskatchewan

January 2009 - August 2012

MSc (Basic Sciences)

Tarbiat Modares University

September 2002 - August 2004

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

(2018). Privacy-preserving Machine Learning as a Service .

(2016). Moment problem in infinitely many variables .

(2014). On the topologies induced by a cone .

Ghasemi, M., Ghasemi, M., Lasserre, J.B., Marshall, M.(2014). Lower bounds on the global minimum of a polynomial . Computational Optimization and Applications. 57. (2). p. 387-402.

(2014). Integral representation of linear functionals on function spaces .

Ghasemi, M., Kuhlmann, S., Marshall, M.(2014). Application of Jacobi's representation theorem to locally multiplicatively convex topological R-algebras . Journal of Functional Analysis. 266. (2). p. 1041-1049.

Ghasemi, M., Marshall, M., Wagner, S.(2014). Closure of the Cone of Sums of 2d-powers in Certain Weighted l 1-seminorm Topologies . Canadian Mathematical Bulletin. 57. (2). p. 289-302.

Ghasemi, M., Kuhlmann, S., Samei, E.(2013). The moment problem for continuous positive semidefinite linear functionals . Archiv der Mathematik. 100. (1). p. 43-53.

(2013). Closure of the cone of sums of 2d-powers in commutative real topological algebras . Journal of Functional Analysis. 264. (1). p. 413-427.

(2013). Lower Bounds for a Polynomial on a basic closed semialgebraic set using geometric programming .

Ghasemi, M., Marshall, M.(2012). Lower bounds for polynomials using geometric programming . SIAM Journal on Optimization. 22. (2). p. 460-473.

Ghasemi, M., Marshall, M., Ghasemi, M., Marshall, M.(2010). Lower bounds for a polynomial in terms of its coefficients . Archiv der Mathematik. 95. (4). p. 343-353.

(2006). Beatty sequences and the arithmetical hierarchy . Lecture Notes in Logic.

CONFERENCE PAPER

(2017). Privacy-preserving Machine Learning in Cloud .

BOOK REVIEW

(2014). Moments and positive polynomials for optimization. Modern optimization modelling techniques .

DISSERTATION THESIS

(2012). Polynomial Optimization and the Moment Problem .

(2004). Integer Parts of Real Arithmetic Progressions and Computability .

RESEARCH TOOL

(2012). CvxAlgGeo .