Deniz Akkaya
Currently, I am in the job market!
Ph.D. Candidate and Research Associate in Industrial Engineering specializing in sparse optimization, robust regression, and mathematical programming. Seeking academic opportunities in applied mathematics, operations research, or related quantitative disciplines.
Academic
Activities
IFORS 2026 @The University of Vienna
I will be presenting my work titled "Sparsity Constrained Linear Minimax Optimization with Application to Sparse Boosting and Sparse Game Theory" at July 14th.
Research Interests
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Strengthening the theory of sparse optimization in both deterministic and stochastic settings,
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Developing efficient algorithms—exact, heuristic, and hybrid—for high-dimensional problems,
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Applying these methods to finance, signal recovery, and healthcare,
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Exploring sparsity in machine learning for interpretability and structured feature selection.
Publications
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D. Akkaya, M. Ç. Pınar, Hidden Conic Quadratic Representation in Some Generalized Nash Equilibrium Problems, Journal on Optimization Theory and Applications. (2025, Submitted)
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D. Akkaya, M. Ç. Pınar, Critical Point Theory for Sparse Huber Recovery. Optimization. (2025, Submitted)
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B. Çetin, D. Akkaya, M. Ç. Pınar, Sparsity Constrained Minimax Optimization with Applications to Sparse Boosting and Game Theory. SIAM Journal on Optimization. (2025, Submitted)
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D. Akkaya, M. Ç. Pınar, Minimizers of Sparsity Regularized Least Absolute Deviations. Journal on Global Optimization. (2025, Published)
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B. Åžen, D. Akkaya, M. Ç. Pınar, Sparsity Penalized Mean–Variance Portfolio Selection: Analysis and Computation. Mathematical Programming. 211, 281–318 (2025)
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M. Ç. Pınar, D. Akkaya. Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization, Philadelphia: SIAM. (2023)
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Ö. EkmekcioÄŸlu, D. Akkaya, M. Ç. Pınar, Subset Based Error Recovery. Signal Processing, 191, 108361. (2022)
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D. Akkaya, M. Ç. Pınar, Minimizers of Sparsity Regularized Huber Loss Function. Journal of Optimization Theory and Applications , 187, 205–233 (2020)
Teaching
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Bilkent University (2023-2026)
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IE400 Principles of Engineering Management​
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​An introduction to managerial and economic analysis covering organizational structures, project and network management, optimization and decision-making techniques, and fundamental economic principles including cash flows, pricing, interest, and market dynamics.
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IE342 Engineering Economic Analysis
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​​An introduction to engineering economic analysis, focusing on evaluating alternatives under risk and uncertainty, the time value of money, economic factors affecting decisions, project appraisal, replacement decisions, and basic financial engineering concepts.
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