Musa Caglar
Professor of Practice
| Office | Energy Institute - Suite 412 GWBC - Room 412D |
|---|---|
| Phone | (504) 247 1179 |
| mcaglar@tulane.edu | |
| CV | Download PDF |
Biography
Musa Caglar is a Professor of Practice in Business Analytics and Management Science at the A. B. Freeman Business School, Tulane University. He has been serving on the faculty since January 2018. He teaches business analytics, SQL & business intelligence, modeling & analytics, and web analytics courses at the A.B. Freeman School of Business. He is also owner of the www.webanalyticsclass.com to teach web analytics at its best via experiential learning. As a supplemental platform for his analytics classes, Musa highly recommends DataCamp, which offers great foundational hands-on courses in Excel, Tableau, SQL, Python, and R for data analytics.
Musa has many years of non-academic professional experience in business analytics and evidence-based decision-making to support national science, technology, and innovation policy. He completed his Ph.D. while he was working rigorously at the National Science Foundation equivalent of Turkey. In his Ph.D. dissertation, 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 including fairness concerns, and simulation for better R&D project portfolio management.
Conducting research and contributing to the literature of operations research and analytics are important to him. His research interests include the application of optimization, simulation, and machine learning algorithms to practical analytics problems in public sector organizations, healthcare and finance. His research has been published in peer-reviewed academic journals such as Annals of Operations Research, OR Spectrum, Socio-Economic Planning Sciences, Expert Systems with Applications, among others.
He earned his MS and Ph.D. in Industrial Engineering (Operations Research and Management Science) at top-notch METU, Ankara, Turkey. He received his bachelor`s degree in Industrial Engineering (Operations & Supply Chain Management/Information Systems) from the top-notch School of Management at ITU, Istanbul, Turkey.
Courses
Undergraduate Core Course
MGSC 3010 Intro to Business Analytics
Graduate Core Courses at Masters in Business Analytics program
MGSC 7100 SQL Data Fundamentals and Business Intelligence
MGSC 7310 Modeling and Analytics
MGSC 7340 Web Analytics
Contributions
International Experience
Dr. Caglar brings his international perspective to his work at Freeman. He was a project partner in an international project at European Union. He was a member of several OECD working groups: National Experts on Science and Technology Indicators, and Committee for Science and Technology Policy. He represented his home country in high-level meetings at NSF, NIH, DOE, and IBM Watson Research Center.
Practical Skills and Experience
Dr. Caglar has experience in programming languages and tools such as Python, SQL, VBA, C/C++ and he is also skilled with IBM CPLEX, Anaconda, Jupyter Notebooks, Google Colab, SPSS Modeler, Advanced Excel, and LaTeX. Students benefit from the perspective that comes from his ten years of non-academic professional experience.
Recent Ongoing Research
Dr. Caglar's recent ongoing research focuses on healthcare analytics. He and his colleagues apply machine learning and optimization algorithms on real data sets to assist decision making in health policy and medical practice.
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.
Education & Affiliations
Ph.D. in IE (Operations Research and Management Science) at METU, 2016
M.S. in IE (Operations Research and Management Science) at METU, 2009
B.S. in IE (Operations & Supply Chain Management/Information Systems) at Istanbul Technical University (ITU), 2005
Affiliations:
INFORMS - Institute for Operations Research and Management Science- Data Mining Society
POMS - Production and Operations Management Society
Interests
Swimming with his sons regularly
Likes playing tennis, basketball and soccer
Likes walking and running regularly