Ümit Saglam, Ph.D., is an Assistant Professor of Management, in the Department of Management and Marketing at the College of Business and Technology. Dr. Saglam received his Ph.D. in Business Administration from the Decision Sciences & MIS Department at the LeBow College of Business of Drexel University and his dual undergraduate degrees in the Honors Program in Mathematics and Economics from Istanbul Bilgi University and London School of Economics and Political Sciences (LSE). During his Ph.D. study, he spent one academic year in Operations Research and Financial Engineering (ORFE) department at Princeton University, as a visiting Ph.D. student. Currently, his research projects focus on energy economics and management, portfolio optimization and behavioral operations management, and they have been published at top-field academic journals.
Dr. Saglam’s research has received considerable recognition in academia, and he was awarded the Outstanding Economics Stream Research Award (2013) by LeBow College of Business of Drexel University, and the Faculty Excellence Award for Research (2018) from the Dean of the College of Business and Technology of East Tennessee State University. In addition, Dr. Saglam has been awarded the New Faculty Excellence Award (2018), and the Faculty Excellence Award for Teaching (2019).
Currently, Dr. Saglam teaches analytical approaches for how to model complex business situations in his Decision Science and Production Operations Management courses.
Honors and Awards
- Summer Research Grant, College of Business and Technology (2015-2019)
- Faculty Excellence Award for Teaching, College of Business and Technology (2019)
- The College nominee for 2019 Distinguished Faculty Award for Teaching
- Faculty Excellence Award for Research, College of Business and Technology (2018)
- The College nominee for 2018 Distinguished Faculty Award for Research
- New Faculty Excellence Award, College of Business and Technology, ETSU (2018)
- Outstanding Reviewer: Energy (2018); Energy Conversion and Management (2017)
- Recognized Reviewer: Expert Systems with Applications (2019); Omega (2019); Energy (2017); Energy Conversion and Management (2017); Journal of Cleaner Production (2017); Applied Mathematical Modelling (2014)
- Graduate Assistantship, LeBow College of Business, Drexel University (2009-2014)
- Nominee for the Teaching Excellence Award, LeBow College of Business, Drexel University (2014)
- Best Reviewer Award, Omega-the International Journal of Management Science (2013)
- Outstanding Economics Stream Research Award, LeBow College of Business, Drexel University (2013)
- Mathematical Programming: Mixed-Integer Second-Order Cone Programming (MISOCP), Data Envelopment Analysis
- Applications of OR & MS in: Portfolio Optimization, Health and Humanitarian Logistics, Pricing and Revenue Management
- Supply Chain Management: Production and Logistics Planning, Supply Chain Coordination
- Environmental Management: Energy Economics and Management, Energy Efficiency, Renewable Energy
- Behavioral Research in: Economics, Finance, Operations Management, Real Estate
Peer-Reviewed Book Chapters:
1. Benson, Hande Y., and Ümit Saglam. “Mixed-integer second-order cone programming: A survey.” Theory Driven by Influential Applications. INFORMS, (2013): 13-36. http://dx.doi.org/10.1287/educ.2013.0115
2. Benson, Hande Y., and Ümit Saglam. “Smoothing and regularization for mixed-integer second-order cone programming with applications in portfolio optimization.” Modeling and Optimization: Theory and Applications. Springer New York, (2013): 87-111. http://dx.doi.org/10.1007/978-1-4614-8987-0_4
Peer-Reviewed Journal Publications:
3. Saglam, Ümit. “The effects of electricity prices on productive efficiency of states’ wind power performances in the United States” Economics Bulletin 39(2) (2019): 866-875. http://www.accessecon.com/Pubs/EB/2019/Volume39/EB-19-V39-I2-P84.pdf
4. Saglam, Ümit. “A two-stage evaluation of utility-scale wind farms in Texas using data envelopment analysis and Tobit models.” Journal of Cleaner Production 201 (2018): 580-598. https://doi.org/10.1016/j.jclepro.2018.08.034
5. Saglam, Ümit, and Avijit Banerjee. “Integrated multi-product batch production and truck shipment scheduling under different shipping policies.” Omega 74 (2018): 70-81. http://dx.doi.org/10.1016/j.omega.2017.01.007
6. Saglam, Ümit. “Assessment of the productive efficiency of large wind farms in the United States: an application of two-stage data envelopment analysis.” Energy Conversion and Management 153 (2017): 188-214. https://doi.org/10.1016/j.enconman.2017.09.062
7. Saglam, Ümit. “A two-stage data envelopment analysis model for efficiency assessments of 39 state’s wind power in the United States.” Energy Conversion and Management 146 (2017): 52-67. https://doi.org/10.1016/j.enconman.2017.05.023
8. Liechty, Merrill W., and Ümit Salam. “Revealed preferences for portfolio selection–does skewness matter?” Applied Economics Letters 24, no. 14 (2017): 968-971. http://dx.doi.org/10.1080/13504851.2016.1243207
Peer-Reviewed Conference Papers:
9. Saglam, Ümit. “The efficiency assessments of renewable energy sources with data envelopment analysis.” 2018 Annual Meeting of the Decision Sciences Institute Proceedings, Chicago, IL; November 2018.
10. Saglam, Ümit. “The productive efficiency assessment of wind power generation in the United States.” 2017 Annual Meeting of the Decision Sciences Institute Proceedings, Washington DC; November 2017.
11. Saglam, Ümit. “Analyzing the efficiencies of renewable energy sources with Data Envelopment Analysis.” 2016 Annual Meeting of the Decision Sciences Institute Proceedings, Austin, Texas; November 2016.
12. Demiral, Elif E., and Ümit Salam. “The effect of social and temporal distance on risk preferences: an experimental investigation.” 2016 Annual Meeting of the Decision Sciences Institute Proceedings, Austin, Texas; November 2016.
Papers under Review:
13. Saglam, Ümit, and Hande Y. Benson. “Single- and multi-period portfolio optimization with cone constraints and discrete decisions.” Submitted on June 2019. Available at SSRN: http://dx.doi.org/10.2139/ssrn.2932567