Selin Ahipasaoglu

Dr Selin Damla Ahipasaoglu joined the University of Southampton as an Associate Professor in Operational Research within Mathematical Sciences in July 2020. Prior to that, she served as a Visiting Faculty member in National University of Singapore, as Assistant Professor at Singapore University of Technology and Design and as Postdoctoral Researcher at London School of Economics and Princeton University. She received her PhD from Cornell University in 2009.

Her research is broad and dynamic. While she has ongoing interest in convex optimization and statistical learning; recently, she has focused mostly on robust optimization and its applications in discrete choice modelling, portfolio optimization and transportation.

Research interests

Convex optimization, Decision making under uncertainty, Statistical Learning, Discrete Choice Modelling, Experimental Design.

Education

• Doctor of Philosophy (PhD) Cornell University (2004 — 2009)
• B.S. Bilkent University (1998 — 2002)

Companies

• Associate Professor in Operational Research University of Southampton (2020)
• Visiting Faculty Member National University of Singapore (2020 — 2020)
• Assistant Professor Singapore University of Technology and Design (SUTD) (2012 — 2019)
• Research Scholar Princeton University (2009 — 2010)

Publications

Articles

• Ahipaşaoğlu, S. D. (2021). A branch-and-bound algorithm for the exact optimal experimental design problem. Statistics and Computing, 31(5), [65].
• Richtárik, P., Jahani, M., Ahipasaoglu, S. D., & Takáč, M. (2020). Alternating maximization: unifying framework for 8 sparse PCA formulations and efficient parallel codes. Optimization and Engineering.
• Ahipasaoglu, S. D., Li, X., & Natarajan, K. (2019). A convex optimization approach for computing correlated choice probabilities with many alternatives. IEEE Transactions on Automatic Control, 64(1), 190-205.
• Jiang, T., Wang, S., Zhang, R., Qin, L., Wu, J., Wang, D., & Ahipasaoglu, S. D. (2019). An inexact l2-norm penalty method for cardinality constrained portfolio optimization. Engineering Economist, 64(3), 289-297.
• Ahipasaoglu, S., Arikan, U., & Natarajan, K. (2019). Distributionally robust Markovian traffic equilibrium. Transportation Science, 53(6), 1546-1562.
• Ahipasaoglu, S., Natarajan, K., & Shi, D. (2019). Distributionally robust project crashing with partial or no correlation information. Networks, 74(1), 79-106.
• Wang, T., Xu, Y., Withanage, C., Lan, L., Ahipasaoglu, S. D., & Courcoubetis, C. A. (2018). A fair and budget-balanced incentive mechanism for energy management in buildings. IEEE Transactions on Smart Grid, 9(4), 3143-3153.
• Karakaya, G., Koksalan, M., & Ahipasaoglu, S. D. (2018). Interactive algorithms for a broad underlying family of preference functions. European Journal of Operational Research, 265(1), 248-262.
• Chai, B., Costa, A., Ahipasaoglu, S. D., Yuen, C., & Yang, Z. (2018). Optimal meeting scheduling in smart commercial building for energy cost reduction. IEEE Transactions on Smart Grid, 9(4), 3060-3069.
• Wang, T., Xu, Y., Ahipasaoglu, S. D., & Courcoubetis, C. (2017). Ex-post max-min fairness of generalized AGV mechanisms. IEEE Transactions on Automatic Control, 62(10), 5275-5281.
• Taormina, R., Galelli, S., Karakaya, G., & Ahipasaoglu, S. D. (2016). An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models. Journal of Hydrology, 542, 18-34.
• Karakaya, G., Galelli, S., Ahipasaoglu, S. D., & Taormina, R. (2016). Identifying (quasi) equally informative subsets in feature selection problems for classification: a max-relevance min-redundancy approach. IEEE Transactions on Cybernetics, 46(6), 1424-1437.
• Ahipasaoglu, S. D., Arikan, U., & Natarajan, K. (2016). On the flexibility of using marginal distribution choice models in traffic equilibrium. Transportation Research Part B: Methodological, 91, 130-158.
• Ahipasaoglu, S. D. (2015). A first-order algorithm for the A-optimal experimental design problem: a mathematical programming approach. Statistics and Computing, 25(6), 1113-1127.
• Ahipasaoglu, S. D., Meskarian, R., Magnanti, T. L., & Natarajan, K. (2015). Beyond normality: A cross moment-stochastic user equilibrium mode. Transportation Research Part B: Methodological, 81(Part 2), 333-354.
• Ahipasaoglu, S. D. (2015). Fast algorithms for the minimum volume estimator. Journal of Global Optimization, 62(2), 351-370.
• Ahipasaoglu, S. D., & Todd, M. J. (2013). A modified Frank-Wolfe algorithm for computing minimum-area enclosing ellipsoidal cylinders: theory and algorithms. COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 46(5), 494-519.
• Ahipasaoglu, S. D., & Yildirim, E. A. (2008). Identification and elimination of interior points for the minimum enclosing ball problem. SIAM Journal on Optimization, 19(3), 1392-1396.
• Ahipasaoglu, S. D., Sun, P., & Todd, M. J. (2008). Linear convergence of a modified Frank-Wolfe algorithm for computing minimum-volume enclosing ellipsoids. Optimization Methods and Software, 23(1), 5-19.