Thesis: An artificial neural network meta-model to solve semi-expensive simulation optimization problems, See more
Faculty of Engineering (FOE) Award College of Engineering, University of Tehran 2015, Ranked 1st in Industrial engineering track, annually awarded to the top three students in each track by College of Engineering
- Sales Management - Commercial budgeting and determining corporate objectives for the business - Developing data-models for monthly and daily target calculations - Developing ML-algorithms for daily target prediction - Developing models for improving robustness and fairness in decision making process
- Supply chain data analysis using Python, Excel, and MATLAB - Developing projects for Orchestrating "First-Mile", "Middle-Mile", "Sortation Center" and related operations and affairs - Analyzing logistics performance, driving improvements on accuracy, efficiencies and costs - Developing KPI framework - Developing algorithms to analyze and optimize daily operational processes (e.g. VRP and Sortation center scheduling model)
- improving business performance outcomes and operational agility -Assigning tasks and implementing human resource modelling as the supervisor of the project
-Dealing with simulation limitation and difficulties as a main member in the simulation team -Association rule mining to find patterns and associations from ISACO data sets
Co-authors: -Dr. Hamidreza Eskandari* , Mehran Moazeni
Co-author: -Dr. Omar Khadeer Hussain*, -Dr. Morteza Saberi
Co-authors: Dr. Seyed Taghi Akhavan Niaki ,Mehran Moazeni