Tag Archives: machine learning

Dr. Seydibeyoglu gave a talk as part of IISE Sustainable Development Division webinars.

Dr. Seydibeyoglu is currently a visiting professor at University of Main.  He introduce the state of art research, technology and applications of Nanocellulose, and discussed potential implications on future sustainable development plans and goals worldwide.

  • Future is bright with these disruptive, environmentally friendly and circular material practices. They can be also cheap at a competitive level while their use and functional properties need to meet the industry standards such as use of nanocellulose in car parts, etc.

We would like to thank Dr. Seydibeyoglu for his excellent seminar and sharing his time with us again.


Dr. Can Celikbilek gave a industry seminar as part of Lindenwood Learning Academy lecture series.

Dr. Celikbilek is currently working at T-Mobile as Business Intelligence Manager. His seminar was focused on Data Science and Business Intelligence Applications in E-commerce and Tech Industry. 

Dr. Celikbilek shared his recent projects that focused on application of machine learning, dashboarding, and data viz techniques on various e-commerce problems including prediction of sales, shipment time, and vendor clustering and classification from clothing, communication, and supply chain / logistics industries. Some of the key takeaways are:

  • Business understanding is far more important than having knowledge and skillset of business analytics and data science.

  • His suggested set of tools include python, SQL, tableau and PowerBI in addition to solid MS Excel knowledge and skills for working on large scale business analytics and intelligence projects.

  • As companies get bigger, the problems become more complex and required datasets, their volume, variety, veracity and value become more and more important and increase.

  • Business analytics tools, methods, knowledge and skills become more indispensable assets for new graduates to have and keep building up on as the industries get connected to each other globally more in depth.

We would like to thank Can for his excellent seminar and sharing his time with us again.


Dr. Gedik gave a research presentation at the 52nd Annual Meeting of Decision Sciences Institute

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 Graduate Research Assistants presented at the Decision Science Institute’s 2020 Annual Meeting

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.

We congratulate Harmit and Sagar for their diligent work, and presentation. Presentation can be accessed here.


MS Thesis Defense: Lu Bai

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!