Musa Caglar
- Professor of Practice
- Director of Analytics and AI Program
| Office Address | Energy Institute - Suite 412 GWBC - Room 412D |
|---|---|
| Phone | (504) 247 1179 |
| mcaglar@tulane.edu | |
| CV | Download CV |
Biography
Musa Caglar is a Professor of Practice in Business Analytics and Management Science at the A. B. Freeman School of Business, Tulane University. He received 2024 Dean`s Excellence in Intellectual Contributions Award. He teaches business analytics, modeling & analytics, SQL & business intelligence, web analytics, and analytics for managers courses at the A.B. Freeman School of Business. He is also owner of the www.webanalyticsclass.com to teach web analytics via experiential learning.
In addition to his academic experience, Dr. Caglar has ten years of professional experience in business analytics and evidence-based decision making, including serving as coordinator for the assessment of research centers at the Scientific and Technological Research Council of Turkey, the National Science Foundation equivalent of Turkey. In his PhD. dissertation, supervised by Prof. Sinan Gürel, motivated by the problems that exist in the practice of public R&D project portfolio management, he provides innovative implementations of analytics & operations research approaches for research councils that are aiming to integrate methodologies of data analytics, mathematical modeling, optimization, and simulation for better R&D project portfolio management.
His research interests include application of optimization, simulation and machine learning (AI & ML) algorithms to the practical analytics problems in public sector organizations, healthcare and finance. As an award-winning professor, his research has been published in premier academic journals such as Annals of Operations Research, Information Systems Frontiers, OR Spectrum, Socio-Economic Planning Sciences, Expert Systems with Applications, among others.
Dr. Caglar serves as an ad-hoc reviewer for journals including Annals of Operations Research, OR Spectrum, Socio-Economic Planning Sciences and Expert Systems with Applications. He also serves as a reviewer for INFORMS Workshop on Data Mining and Decision Analytics (DMDA), which is organized by Data Mining Society of INFORMS.
He earned his M.S and PhD. in Industrial Engineering (Operations Research and Management Science) at prestigious METU, Ankara, Turkey. He received his bachelor’s degree in Industrial Engineering (Operations & Supply Chain Management/Information Systems) from well-known School of Management at ITU, Istanbul, Turkey.
Courses
MGSC 3010 Intro to Business Analytics
MGSC 7100 SQL Data Fundamentals and Business Intelligence
MGSC 7310 Modeling and Analytics
MGSC 7340 Web Analytics
MGSC 6030 Analytics for Managers
Research
- A Compartmental Model to Analyze COVID-19 Spread: Policies and Strategies to Control the Pandemic (With Ali Dag, Eyup Kibis, Serhat Simsek) (Work-In-Process)
- A Hybrid Elastic Net Incorporated Bayesian Belief Network Approach to Rectum Cancer Patient Survival (With Ali Dag, Abdullah Asilkalkan, Osman Aydas, Serhat Simsek (Under Review)
- Caglar M., Gurel, S. Public R&D project portfolio selection under expenditure uncertainty. Annals of Operations Research (2023).
- Dolatsara, H.A., Kibis, E., Caglar, M., Simsek, S., Dag, A., Dolatsara, G.A., Delen, D., An Interpretable Decision-Support System for Daily Cryptocurrency Trading Expert Systems with Applications, Vol. 203, p.117409, 2022
- Yucel, A., Caglar, M., Ahady Dolatsara, H., George, B. and Dag, A., 2022. Predicting hotel reviews from sentiment: a multinomial classification framework. Journal of Modelling in Management, 17(2), pp.697-714.
- Caglar M., Gurel S., Impact assessment based sectoral balancing in public R&D project portfolio selection, Socio-Economic Planning Sciences, Volume 66, pp 68-81, 2019.
- Caglar M., Gurel S., Public R&D project portfolio selection problem with cancellations, OR Spectrum, Volume 39, Issue 3, pp 659 - 687, 2017.
