I received my B.S and M.S. degrees from the Department of Industrial Engineering at Bogazici University, Turkey in 2003 and 2006, respectively. Shortly after, I started my Ph.D. in Grado Department of Industrial and Systems Engineering at Virginia Tech under the guidance of Prof. Hanif D. Sherali and graduated in 2011. I specialized in nonlinear optimization and decision analysis. As a future goal, I want to utilize this analytical background to solve problems in healthcare area. I have been an assistant professor in the Department of Industrial and Systems Engineering at Wayne State University since August, 2011.
Ph.D., Industrial and Systems Engineering, Virginia Tech, 2011
M.S., Industrial Engineering, Bogazici University, Turkey, 2006
B.S., Industrial Engineering, Bogazici University, Turkey, 2003
- IE 4310: Production Control
- IE 6560: Deterministic Optimization
- IE 7995: Special Topics in Advanced Optimization Techniques (New Graduate Course)
- ISE 3214: Facilities Planning and Material Handling (Virginia Tech)
- Nonlinear Programming
- Polynomial Programming
- Reformulation-Linearization Technique
- Semidefinite Programming
- Global Optimization
- Decision Analysis and Risk Management with Applications in Healthcare
- Ph.D. student: Samira Fazel Anvaryazdi (expected graduation, 2016)
- M.S. students: Subramaniam Sunderaswaran and Pallewaththe Gedara Thilina Nawamal Wijerathne
- Undergraduate research assistant: Vilma Kocllari
- Dalkiran, E., Sherali, H. D.: RLT-POS: Reformulation-Linearization Technique-based optimization software for polynomial programming problems.
- Dalkiran, E., Sherali, H. D.: A survey of algorithmic approaches for solving polynomial programming problems.
- Dalkiran, E., Kocllari, V., Sunderaswaran, S. : Comparison of the J-set of relaxations and McCormick relaxations for solving polynomial programming problems.
- Dalkiran, E., Anvaryazdi, S. F., Wijerathne, P. G. T. N. : Branching strategies for Reformulation-Linearization Technique.
- Dalkiran, E., Sherali, H. D.: Theoretical filtering of RLT bound-factor constraints for solving polynomial programming problems to global optimality. Journal of Global Optimization, Accepted for publication.
- Sherali, H. D., Dalkiran, E., Liberti, L.: Reduced RLT representations for nonconvex polynomial programming problems. Journal of Global Optimization, Vol. 52, No. 3, pp. 447-469, 2012.
- Sherali, H. D., Dalkiran, E., Desai, J.: Enhancing RLT relaxations for polynomial problems via a new class of v-semidefinite cuts.Computational Optimization and Applications, Vol. 52, No. 2, pp. 483-506, 2012.
- Sherali, H. D., Dalkiran, E., Glickman, T. S.: Selecting optimal alternatives and risk reduction strategies in decision trees.Operations Research, Vol. 59, No. 3, pp.631-647, 2011.
- Sherali, H. D., Dalkiran, E.: Combined bound-grid-factor constraints for enhancing RLT relaxations for polynomial programs.Journal of Global Optimization, Vol. 51, No. 3, pp. 377-393, 2011.
- Institute for Operations Research and the Management Sciences
- Mathematical Optimization Society
- Women in OR/MS
- Institute of Industrial Engineers
IIE, The Pritsker Doctoral Dissertation Award (2nd Place), 2012.
Hiking, running, cooking, travelling
- November 5, 2013
Evrim Dalkiran, is co-author of a paper that will be presented at the 2013 INFORMS (Institute for Operations Research and the Management Sciences) Southeast Michigan Symposium, held Friday, Nov. 8 at Wayne State University. The paper is titled "A Deterministic Approach for Phasor Measurement Unit Location Selection in Smart Grid Energy Systems." The symposium is intended to re-energize the operations research and management sciences community and bring together professionals from academia, industry and government to share their work and experiences. More information here: http://engineering.wayne.edu/pdf/informs-se_mi_symposium_agenda-final.pdf
- March 13, 2012
Evrim Dalkiran, has been named a recipient of the IIE Pritsker Doctoral Dissertation Award (2nd place). She will be receiving the award during the IIE Annual Conference in Orlando, Fla., this May. The award recognizes outstanding graduate research in the field of industrial engineering. Both members and non-members of IIE are eligible to receive the award. Nominated authors must have performed the dissertation research in fulfillment of requirements of a doctoral degree in industrial engineering, or in an interdisciplinary doctoral program with a major in industrial engineering.