Math 6940: Project in Computational Mathematics

Recent Math 6940 Projects

• Optimizing Resource Allocation and Time Completion in Data Centers Using Integer Linear Programming

Daniel Safavisohi – Fall 2024

• Minimizing HIV Infections in Ohio through Optimal Resource Allocation: A Linear/Integer Programming Approach

Godfred Kesse – Spring 2024

• A Real-world Application of the Capacitated Vehicle Routing Problem

Jimmy Hayes – Spring 2024

• Optimizing the PGA Tour

Matt Fisher – Spring 2024

• Optimization of Industrial Wastewater Disposal into Rivers (Case Study: Ohio River)

Gordon Nsiah – Spring 2024

• An Optimization Model for Maximizing Calories Burnt

Nutifafa Akpeleasi – Spring 2024

• Airlines’ Crew Scheduling Optimization

Kwasi Agyeman-Offei – Spring 2024

• A Refined Approach to NFL Scheduling with Mixed Integer Linear Programming

Alex Jonauskas – Spring 2023

• Optimizing City Bus Routes: Minimizing Total Travel Time while Maximizing Number of Stops, a Case Study of the City of Chillicothe

Shadrack Mensah – Spring 2023

• Optimization models for university course scheduling

Richmond Owusu – Spring 2023

• Student Schedule Planning With Integer Programming Using AMPL

William Kanieski – Spring 2023

Other Projects

• Repairing Redistricting: Using an Integer Linear Programming Model to Optimize Fairness in Congressional Districts

Ben Carman – Undergraduate Thesis

• An Integer Programming Solution to the University Class Scheduling Problem

Megan Thomas – Undergraduate Thesis

• A Discussion on AMPL Models For Portfolio Management

Hongyu Li – Undergraduate Project

• Optimization models for the Two Jugs problem

Zach Sisco – Undergraduate Project