Musa Caglar teaches business analytics in the undergraduate program. He received his M.S and Ph.D. in industrial engineering (IE) at METU of Turkey. METU IE Department has a world class faculty, who obtained their PhD degrees from top universities such as Georgia Institue of Technology, Standford, University of Florida, Rutgers, Lehigh, and University of North Carolina at Chapel Hill. According to U.S.News Global Ranking of Engineering Schools in 2019, METU outranked some top-tier universities in US such as RPI, Lehigh, Unv of Virgina.
Before his appointment in Tulane, he was a visiting research scientist at State University of New York at Albany in the Computer Science Department. He worked on optimization methods that arise in data science. That was a great experience for him to see how Operations Research/Management Science and Computer Science intersect in data analytics.
He has also 10 years of experience in R&D and technology management sector. He completed his Ph.D. while he was working at TUBITAK (The National Science Foundation equivalent of Turkey which hires the very talented people in Turkey). He was working up to 16 hours a day to succeed in both Ph.D. and professional business life. He was always among the best in what he had been involved. For instance, he was selected as top 10% best performing experts in his department out of very talented 30 experts.
His methodological research interests span the areas of mathematical modeling and optimization, project portfolio selection, applications of second-order cone programming, optimization methods in data analytics, fairness concerns in resource allocation. He has a strong technical knowledge in applied mathematical optimization. He has been using C++ and IBM CPLEX for modeling and solving large-scale optimization models.
He has a professional experience in business analytics with managerial insights. For instance, during his professional life at Data Evaluation and Analysis Unit in the Department of Science, Technology and Innovation Policy of TUBITAK, he worked on big amounts of data to provide descriptive, predictive and prescriptive insights and evidence-based policy options to the President (CEO) of TUBITAK. He extensively used advanced formulas, pivot tables, Excel macros and solver to work with data of funding programs, research centers, universities, companies, and researchers. He conducted so many presentations to the C-level people about business analytics with managerial insights.
Musa brings his international perspective to his work at Freeman. He was a project partner in the OSIRIS project (Towards an open and sustainable ICT research infrastructure strategy) on behalf of Turkey at European Union, The 7th Framework Programme. He was a member of several OECD (Organisation for Economic Co-operation and Development) working groups: National Experts on Science and Technology Indicators (NESTI), and Committee for Science and Technology Policy. He represented Turkey at high-level meetings in NSF, NIH, DOE, and IBM Watson. He also contributed to international reports by working with government departments, NGOs, international organizations such as EC, OECD, and World Bank.
Musa has a very good memory. In the middle of the spring semester of 2018, one of the students in his class asked him whether he knows all the names of the students. He says "I think I know all of your names. I have four sections and 129 students at this semester". He called the names of all of the students by pointing out them respectively in a minute. All of the students were amazed and clapped all together. Several students were loudly saying the words like "the best professor I have ever had...". He repeated the same thing in each class during that time, he got the similar responses, which make him more motivated for teaching.
Education & Affiliations
Ph.D. in industrial engineering at METU
M.S. in industrial engineering at METU
B.S. in industrial engineering at Istanbul Technical University (ITU)
INFORMS (Institute for Operations Research and Management Science) Analytics Society
DSI (Decision Science Institute)
Swimming with his son regularly.
Likes playing tennis.
Likes walking and running regularly.