Seyed Sajjad Fazeli

email: adhl4h@r.postjobfree.com ; Phone: +1-313-***-****

Google Scholar

Summary

Operations research analyst with a strong background in mathematics, statistics, machine learning, network opti- mization, and data-driven decision making, looking for opportunities where I can contribute my knowledge from mathematical and engineering skills to model and solve real-world problems. Technical Strengths

Analytical Skills: Network Optimization, Vehicle Routing Optimization, Deep Learning, Mathematical Programming, Scheduling, Data-driven Simulation, Stochastic Optimization, Decomposition Algorithms, Risk Analysis, Meta-heuristics, Machine Learning, Infrastructure Planning.

Computer Skills

Programming: Python, MATLAB, C#

Optimization: CPLEX(OPL), Gurobi, Xpress, GAMS

Database & Statistical: SQL, SAS, Minitab, Excel

Libraries: Pandas, PyTorch, Matplotlib, Tensorflow, Plotly Simulation: ARENA

Education

Wayne State University Detroit, MI

Ph.D. in Industrial Engineering (Minor in Mathematics) 2016 - 2020 Thesis: Stochastic programming models for electric vehicles operations: network design and routing strategies Advisor: Dr. Saravanan Venkatachalam

Sharif University of Technology Tehran, Iran

M.Sc. in Industrial Engineering 2012-15

Thesis: Nurse Scheduling of an Emergency Department Aiming at Decreasing Patients Waiting Time Using Discrete Event Simulation and Genetic Algorithm

Iran University of Science & Technology Tehran, Iran B.Sc. in Industrial Engineering 2007-11

Work Experience

Data Scientist at Liberty Mutual Insurance 2020- current

− Developed a novel framework for intelligent claim assignment to decrease the claim handling cost. Steps: Data query (SQL+SAS), Data Cleaning (Python), Coding (Python), Visualization and Data Analysis (Matplotlib + Decision Tree) Total Cost Saving: More than 5 million per year

− Developed a stochastic programming model for staff scheduling problem Steps: Mathematical Formulation, Coding (Python + CPLEX), Sensitivity Analysis, Visualization (Matplotlib) Total Cost Saving: More than 6 million per year

Applied Research Intern at LLamasoft Summer 2019

− Implementing Benders’ Decomposition, Lagrangian Relaxation and Tabu Search to improve the performance of supply chain Guru in solving large-scale supply chain problems. Achievement: The proposed method is implemented in the main company’s product Research Assistant at Wayne State University 2016-2020 Charging Station Network Design for Electric Vehicles in Urban Communities (Funded by U.S DOT)

– A modeling framework for planning agencies was proposed to design a network for Electric vehicle charging stations based on consideration of randomness in demand. The framework was used to optimally determine the type, location and capacity of charging station in a part of Detroit MI. Path Planning for a fleet of Autonomous Electric Vehicle (Funded by Automotive Research Center)

– Developed a Branch and Bound method as well as a hybrid Heuristic for Autonomous Electric Vehicle Path Planning Problem to minimize the Customers’ waiting time and balance the vehicles’ utilization rate. Also, the algorithms were tested in a robotic operating system environment to showcase their application on robots.

Graduate Teaching Assistant at Wayne State University 2016-2019

− Stochastic & Robust Optimization; Intelligent Analytic; Deterministic Optimization; Operations Research; Mar- keting Strategy

Instructor at Parseh Institute, Tehran Iran 2013-2014

− Teaching Operations Research and Inventory Control Management Selected Course Projects

Deep Learning 2019

Predicting Bike-Sharing Patterns

Stochastic Programming 2017

Operating Room Planning and Scheduling Using Two Stage Stochastic Programming Intelligent Analytic 2017

Facial Expression Pattern Recognition Using Deep Learning Techniques Supply Chain Management 2014-2017

Green Supply Chain; Multi-depot Green Vehicle Routing Problem with Fuzzy Capacity; Single Sourcing Versus Dual Sourcing Under Condition of Learning; Allocation Strategies and their Impact on the Cost of Routing in the Hub Networks

Certificates

SQL for Data Science - edX current

Deep Learning - Udacity current

Introduction to Genetic Algorithm: Theory and Applications - Udemy 2019 Foundations of Data Science: Computational Thinking with Python - edX 2018 Honors and Achievements

People’s Choice Award at Wayne State Graduate Research Symposium Poster Competition 2019 3rd place Award at Wayne State Graduate Research Symposium Poster Competition 2019 Reviewer for “IEEE Transactions on Intelligent Transportation Systems” Journal 2019 Finalist at INFORMS Poster Competition 2019

Wayne State Graduate Research Symposium Committee Member 2018 Ranked 17 among more than 10000 participants in Master degree entrance exam of Industrial Engineering 2012 Publications

• Fazeli,S,S., Venkatachalam, S., Chinnam, R., Murat, A., “Two-Stage Stochastic Choice Modeling Approach for Electric Vehicle Charging Station Network Design in Urban Community”, IEEE Transactions on Intelligent Transportation Systems

• Fazeli,S,S., Saravanan Venkatachalam, “Efficient algorithms for autonomous electric vehicle min-max routing prob- lem ”, IEEE Transactions on Intelligent Transportation Systems” (under review)

• M.Mahjoob, Fazeli,S,S., Fallahi, F. “A Green Multi-period Inventory Routing Problem with Pickup and Split Delivery: A Study Case in Flour Industry”, Journal of Industrial Engineering and Management ”, (under review)

• Fazeli,S,S., Fallahi, F.,Yildirim, M., Bakir, I. “Stochastic Condition-based Maintenance and Operations Scheduling of Wind Turbines under unexpected Failures”, ” (under preparation) Presentations

Automotive Research Center 2020

• Novel Data-Driven Algorithms for Autonomous Vehicle Path Planning Problems with Uncertain Data Parameters TRCLC Conference 2018 & 2019

• Charging Station Network Design for Electrified Vehicles in Urban Communities INFROMS Conference 2018 & 2019

• Two-stage Stochastic Choice Modeling Approach for Charging Station Network Design in Urban Community

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