About Us

Dr. Cagri Latifoglu
email: mynamemysurname@consultkit.app

Education

Coursework During PHD/MS

• Convex Optimization
• Discrete Optimization
• Nonlinear Optimization
• Advanced Probability Theory
• Stochastic Processes
• Real Analysis

Ph.D., Lehigh University, Bethlehem, PA, USA

PhD in Industrial and Systems Engineering, September 2012 Dissertation: “Models for Production Planning and Power Procurement Portfolios”

M.Sc., Bilkent University, Ankara, TURKEY,

MS in Industrial Engineering, September, 2006 Thesis: “Analysis of Consignment Contracts for Spare Parts Inventory Systems”

B.S., Bilkent University, Ankara, TURKEY,

BS in Industrial Engineering, May 2003

Coursework After Phd

Massive Open Online Courses (Mooc)

Grade Achieved: 100.0% for all 6 MOOC courses

Coursera | deeplearning.ai

Earned Deep Learning Specialization Certificate by finishing the following 5 courses.

• Neural Networks and Deep Learning
• Convolutional Neural Networks
• Structuring Machine Learning Projects
• Hyperparameter tuning, Regularization and Optimization
• Sequence Models

Coursera | Stanford University

• Machine Learning

Industry Experience

Invent Analytics

Senior Data Scientist September 2020 - April 2022

Work From Home, Ankara, Turkey

• Worked on integration of integration of open source optimization solver service that can be utilized by all Invent Products.
• Designed and integrated a new optimization model to current inventory solution of the Invent. Coded in PySpark, ran on Amazon EMR clusters.
• Completely designed, architected, coded, implemented, optimized, parallelized, deployed an omni channel simulator for strategic decision making. Submodules: Allocation, Replenishment, Offline Demand Fullfillment, Online Demand Fulfillment, Order Generation. Prototyped and debugged in Python, then rewritten in C++ as a Python library to increase the performance more than 30x. Can handle realistic customer data scenarios.
• Completely designed, architected, coded, implemented, optimized, parallelized, deployed the random demand generation module for the omnichannel simulator. Written in C++ as a Python library.
• Designed and integrated a novel optimization model for online fulfillment to omni channel simulator.
• Developed a fast greedy heuristic for the novel fulfillment optimization model developed for the omnichannel simulator.
• Developed a perishable inventory simulator for testing the assertions in the literature regarding the perishable inventory optimization policies.

Yapi Kredi Bank

Software Development Engineer/Senior Business Analyst April 2013 - February 2014

Gebze, Kocaeli, Turkey

• Designing a discrete event simulation system with a team of software engineers which is used for forecasting and managing workload.
• Developed and implemented a forecasting method for predicting operational volume for banking processes.

Academic And Research Experience

Ted University

Assistant Professor February 2016 - August 2020

Ankara, Turkey

Research

• Worked on The Shortest List Colour Routing Problem (SLCR), developed to Integer Programming Models to solve SLCR.
• Worked with Dr. Mirbek Turduev and Dr. Sinan Hanay on designing nanophotonic structures using machine learning. Article accepted for publication in IEEE/OSA Journal of Lightwave Technology [2].

Teaching

• Industrial Engineering Senior Project I & II
• Computational Tools for Industrial Engineers
• Manufacturing and Service Operations Planning II
• Discrete Event Simulation
• Supply Chain Management
• Mathematical Modeling & Optimization III
• Lean Process Design
• Introduction to Statistics

Senior Project Advising

• AI and Optimization Enabled Smart Machine Design
• Warehouse Order Allocation and Picking Optimization Pipe Production Shop Layout Optimization and Simulation Receiving Area Layout Optimization and Simulation
• Optimization of Semi-Finished Goods Inventory
• Item to Shelf Assignment in Chemicals Storage
• Item to Shelf Assignment in Warehouse
• Integrated Forecasting, Production and Inventory Planning
• Forecasting

Service

Compute Resources System Administration for IE Department

Thk University

Assistant Professor February 2014 - January 2016

Ankara, Turkey

Administrative

• Conducted administrative duties as Interim Head of Department.

Research

• Worked with Dr. Tayfun Kucukyilmaz on bin-packing problem. Implemented Arc-Flow Formulation in Python using Gurobi Python API for comparison with island parallel genetic algorithms.

Teaching

• Production Planning
• Operations Research II
• Supply Chain Management
• The Fundamentals of Industrial Engineering
• Project Management
• Introduction to Operations Research
• Probability Theory
• Discrete Math
• Calculus II

Lehigh University

Research & Teaching Assistant August 2006 - April 2011 | Bethlehem, PA, USA

Research

• Developed a robust optimization formulation and accompanying solution heuristic to immunize a weekly production plan against a given number of uncertain hourly power interruptions, [1].
• Conducted research on polynomial relaxation techniques for integer programs.
• Conducted research on robust optimization.

Teaching

• Teaching Assistant for Computational Tools for Industrial Engineers Course.

Publications

1. C. Latifoglu, P. Belotti, and L. V. Snyder. Models for production planning under power interruptions. Naval Research Logistics (NRL), 60(5):413-431, 2013.
2. M. Turduev, E. Bor, C. Latifoglu, I. H. Giden, Y. S. Hanay, and H. Kurt. Ultra-compact photonic structure design for strong light confinement and coupling into nano-waveguide. IEEE Journal of Lightwave Technology, PP(99):1-1, 2018.