Dr. Gedik gave a research talk, which is an extension of our former research assistant Lu Bai’s thesis project on 11/24/2021 at the 2021 DSI Annual Meeting. The presentation was entitled “What It Takes to Win or Lose A Soccer Game? A Machine Learning Approach to Understand the Impact of Game and Team Statistics” and presentation can be accessed at this link.
In this research, we focused on building machine learning models to predict soccer game outcomes in five major soccer leagues, and extract knowledge on what factors play biggest role in winning and losing a soccer game over a 5 season data.
We would like to thank Lu for her excellent thesis work again.
ASOS Team
Harmit Patel and Sagar Thakkar started working on this project in Spring 2020 INDE 6645 Data Analytics course with Dr. Egilmez. The conference paper, entitled ” Exploratory Analysis of Factors Affecting the Response Capability of Governments to COVID-19“, was presented on November 21, 2020 in ” Measuring and Managing the Impact of COVID-19″ session.
Title Slide
Presenters and Session Chair
From Presentation
Session Information
We congratulate Harmit and Sagar for their diligent work, and presentation. Presentation can be accessed here.
ASOS Team
Lu Bai, ASOS research team graduate research assistant, successfully defended her thesis on Friday, December 13, 2019.
Thesis Title: “Machine Learning Applications to Predict Road Crash and Soccer Game Outcomes”
Thesis Committee:
- Dr. Gokhan Egilmez (Co-Adviser), Associate Professor of Industrial and Systems Engineering, Taglietela College of Engineering, University of New Haven.
- Dr. Ridvan Gedik, (Co-Adviser),Assistant Professor of Management, Quinnipiac University
- Dr. Ceyda Mumcu, Associate Professor of Sports Management, University of New Haven
- Dr. Nadiye O. Erdil, Associate Professor of Industrial and Systems Engineering, Taglietela College of Engineering, University of New Haven.
Her presentation can be accessed at this Link
We congratulate Lu, and wish her best of luck in her future endeavors!
ASOS Team
Analytics, Sustainability, Optimization, Simulation