Experienced doctorate researcher in Data Science and Operations Research with fundamental knowledge in mathematics, statistics, combinatorics, problem-solving methods, and mathematical modelling. Expert in modelling the big data problems and solving them using Python, analyzing and visualizing the results. More than six years of experience in developing algorithms to solve optimization problems.
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Operations Research ScientistAiimsense Jul 2022 - Present -
Doctoral ResearcherUniversity Of Waterloo Sep 2016 - Jun 2022Waterloo, Ontario, Canada- Defined and characterized two new types of optimal solutions for any linear robust optimizationproblem called “Superior Pareto robust optimal” and “Light Pareto robust optimal” solutions. Developed methods to generate these solutions for any robust optimization problem.- Developed an algorithm to generate alternative optimal solutions for any linear optimizationproblem.- Developed an algorithm to generate Pareto robust frontier for any robust optimization problemthat can… Show more - Defined and characterized two new types of optimal solutions for any linear robust optimizationproblem called “Superior Pareto robust optimal” and “Light Pareto robust optimal” solutions. Developed methods to generate these solutions for any robust optimization problem.- Developed an algorithm to generate alternative optimal solutions for any linear optimizationproblem.- Developed an algorithm to generate Pareto robust frontier for any robust optimization problemthat can help decision-makers to determine the most efficient robust optimal solution.- Presented solutions for big size realistic data sets of the radiation therapy treatment planning forbreast cancer that results in the decisions which largely reduced the side effects while delivering the prescribed dose to the tumour, using Python and Numpy, CPLEX, Statistics and Gurobi packages.- Analyzed and visualized the results using Python and MATLAB packages.- Collaborated with graduate research group students as a team member, which resulted in a high-impact research paper.- Solved problem of blood inventory using dynamic programming.- Developed a balancing algorithm for the model to solve the blood inventory problem. Show less -
Graduate Teaching AssistantUniversity Of Waterloo Sep 2014 - Jun 2022- Teaching assistant of 14 courses including “introduction to optimization”, “Algorithms and DataStructure”, “Probabilistic models in OR”, “Discrete math for engineers”, “Engineering economics”, “Advanced calculus and numerical methods”, “Graph theory” and “Linear algebra”.- Consist of tutoring, marking assignments, and office hours. -
LecturerUniversity Of Waterloo Sep 2019 - Dec 2019Waterloo, Ontario, Canada- Teaching the course “Principles of Operations Research” to 85 graduate students, including Ph.D.and Masters in Management sciences.- Supervised the teaching assistants, and the students. -
TeacherIsfahan Mathematics House Jun 2008 - Sep 2011Isfahan, IranTeaching “Problem solving methods” and “Combinatorics” to the high school students.
Fahimeh Rahimi Skills
Fahimeh Rahimi Education Details
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Management Sciences - Operations Research -
Combinatorics And Optimization -
Applied Mathematics(Graph Theory And Combinatorics) -
Applied Mathematics
Frequently Asked Questions about Fahimeh Rahimi
What company does Fahimeh Rahimi work for?
Fahimeh Rahimi works for Aiimsense
What is Fahimeh Rahimi's role at the current company?
Fahimeh Rahimi's current role is Ph.D. in Operations Research.
What schools did Fahimeh Rahimi attend?
Fahimeh Rahimi attended University Of Waterloo, University Of Waterloo, Isfahan University Of Technology, Isfahan University Of Technology.
What skills is Fahimeh Rahimi known for?
Fahimeh Rahimi has skills like Latex, C++, Algorithms, C, Applied Mathematics, Mathematica, Computer Science, University Teaching, Lecturing.
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