PhD Research Assistant

Azadeh Ahkamiraad

PhD, SUNY at Binghamton, NY Phone: +1-607-***-**** ac8edq@r.postjobfree.com

LinkedIn: http://www.linkedin.com/in/azadeh-ahkamiraad-5b4ba44b Education

Ph.D., Industrial and Systems Engineering Feb. 2019 (expected) State University of New York (SUNY) at Binghamton, Binghamton, NY

• Thesis: “An Agent-Based Simulation for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City” Advisor: Dr. Yong Wang GPA: 3.83/4 M.S., Industrial Engineering, Amirkabir University of Technology, Tehran, Iran 2009-2011

• Focus: Logistics & Supply Chain Engineering, Overall GPA: 3.63/4 B.S., Industrial Engineering, Amirkabir University of Technology, Tehran, Iran 2005-2009 Highlights

• Strong Mathematical and Analytical Skills

• Optimization Solver: CPLEX, LINGO, GAMS

• Programming/Application: Python (NumPy, Pandas, SciPy, SciKit-Learn, Matplotlib, ggplot, Seaborn), MATLAB, R, Java, SQL, SAS, Minitab, Arena, LaTeX, ArcGIS

• Operations Research: Mathematical Modeling, Mixed Integer/Nonlinear/Stochastic Programming, Network Modeling, Logistics, Vehicle Routing, Scheduling, Transportation, Supply Chain Management, Inventory Management, Meta-heuristics

• Machine Learning: SVM, Logistics Regression, Neural Networks, Data Visualization, Data Analytics, Statistical Analysis

• Simulation: Agent-based Modeling

Professional Experiences

Graduate Research Assistant, Industrial Engineering Department, Binghamton University 2015-present

• Project title: “Capacitated and Multiple Cross Docked Vehicle Routing Problem with Pickup, Delivery, and Time Windows”: Developed an MILP mathematical model for a capacitated multiple cross-docked Vehicle Routing Problem (VRP) with pickup, delivery, and time windows. Solved the model in Lingo using CPLEX solver to get an exact solution for the small size, proposed a hybrid of GA & PSO as meta- heuristics to obtain a feasible/good solution for bigger sizes. Utilized MATLAB, CPLEX, GAMS

• Project title: “An Agent-Based Model for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City”: Developed an agent-based approach for the simulation of electric vehicle diffusion in NYC, used spatiotemporal characteristics of the population of NYC to do statistical analysis and to capture significant factors influencing consumers’ purchase behavior. Finally assessed energy consumption of electric vehicles over years to help policymakers about making decisions on grid infrastructure investments. Results are illustrated using ArcGIS. Utilized SQL, Python, R, ArcGIS

• Project title: “Optimal Schedule of Residential Appliances Integrated with Electric Vehicles and Renewables Under Price-based Demand Response”: Developed an MILP model for the optimization of home appliances considering electric vehicles, energy storage system and renewables, case studies are defined based on different price-based demand response programs. The model is solved in CPLEX. Utilized GAMS, CPLEX, Python

Senior Business Analyst, Omran-Maskan Iran, Tehran, Iran 2013-2015

• Analyzed the current company’s business processes, performance measurement and business process improvement as a member of Business Process Management project.

• Analyzed feasibility study reports consist of Market Research, Technical Report, Financial Reports for constructional projects.

Teaching Assistant, System Science & Industrial Engineering Department, Binghamton University

• Lab Instructor of Human Factors Course Fall 2016

• Probabilistic Systems Spring 2016

• Lab Instructor of Human Factors Course Fall 2015 Teaching Assistant, Industrial Engineering Department, Amirkabir University, Tehran, Iran

• Transportation Network Analysis (Masters Program) Fall 2014

• Operation Research (Ph.D. Course in Mining Department) Fall 2013

• Analysis & Design of Logistical Systems (Masters Program) Fall 2013 Journal Publications

• Azadeh Ahkamiraad, Yong Wang, “Capacitated and Multiple Cross Docked Vehicle Routing Problem with Pickup, Delivery, and Time Windows”, Computers & Industrial Engineering, 119, 76-84.

• Azadeh Ahkamiraad, Yong Wang, “An Agent-Based Model for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City”, Energies, 11(3), 640(1-17).

• Azadeh Ahkamiraad, Yong Wang, “Optimal Scheduling of Residential Appliances Integrated with Electric Vehicles and Renewables Under Price-based Demand Response”, working paper. Selected Conference Presentation

• Azadeh Ahkamiraad, K. Azimi, A. Walwaikar, N. Nagarur, “A Multi-period, Multi-location Modeling of Recourse Planning for a Multi-Objective Health Care Services Problem”, IISE Conference, 2018.

• Azadeh Ahkamiraad, Yong Wang, “Agent-based Modeling Approach for Demand Response Program in a Smart Grid”, IISE conference, 2017.

• Azadeh Ahkamiraad, Yong Wang, “Home Demand Side Management for Integrated Smart Homes using Electric Vehicles and Renewables”, INFORMS 2017.

Online Courses

• Introduction to Data Science in Python By University of Michigan

• Statistical Learning By Stanford University

• Machine Learning (Andrew Ng) By Stanford University

• Intro to SQL for Data Science By DataCamp

• Data Analysis with Python By IBM

• What is Data Science? By IBM

Significant Academic Projects

• A Multi-Period Resource Planning for a Multi-Objective Health Care Services Problem

- Proposed a mathematical model for a Multi-Objective Home Health Care Service Problem. Developed a routing schedule for delivering home health care services that satisfied patients’ demand and preferences.

• An Efficient Model for Dynamic Urban Courier Service Problem

- Developed a Tabu Search meta-heuristic algorithm to solve an Urban Courier Service Problem with a hard time window for perishable goods. The model considered multiple couriers with a limited working hour trying to minimize the whole trip for each courier while satisfying the demand.

• Improving Eye State Prediction using EEG with Margin-Based Ordered Aggregation for Ensemble Pruning

- Analyzed semi-structured data and constructed an effective model using different supervised classification methods (SVM, Neural Network, Logistic Regression, Random Forest) to distinguish between two eye states. We utilized advanced tools such as SQL, Python, and R.

• Forecasting Demand in an Airline using Fuzzy Inference System (FIS) Approach

- Defined a fuzzy inference system and a neural network to predict passengers’ demand and airline’s income. The system considered two significant factors influencing passenger behavior: season and ticket price.

• Prediction of Education Efficiency based on Logistic Regression and Decision Tree

- Considered students’ performance in terms of pass or fail in two different courses and identified the most influential key factors using logistic regression method.

• Hospital Call Center Modeling & Simulation

- Developed a simulation model for Hospital Call Center. The simulation model managed inbound and outbound calls from patients with three objective functions minimizing the waiting time, minimizing the manpower, and maximizing the utility of the system. Honors & Awards

• Binghamton foundation travel award 2017

• Partial scholarship for INFORMS conference 2017

• Ranked 42 in 10,000 participants, national university entrance exam for M.S. program 2009

• Ranked 469 in 400,000 participants, national university entrance exam for B.S. program 2005

• Qualified as a member of National Organization of Development for Exceptional Talents 2001-2005

• Ranked 3 in Chess Tournament among NODET high school students in Iran 2004 References & Recommendations

Yong Wang, Ph.D., Assistant Professor

Dept. of Systems Science & Industrial Engineering

SUNY - Binghamton University

Office: 607-***-****

Email: ac8edq@r.postjobfree.com

Hiroki Sayama, D.Sc., Professor

Dept. of Systems Science & Industrial Engineering

SUNY - Binghamton University

Office: 607-***-****

Email: ac8edq@r.postjobfree.com

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