By Dr Neil Dizon

Journal articles

Dizon N; Huang QY; Jeyakumar V; Li G, 2026, 'Piecewise sum-of-squares convexity and Wasserstein distributionally robust optimization: Exact semi-definite programming reformulations with data-driven decision-making under uncertainty', European Journal of Operational Research, 335, pp. 490 - 509, http://dx.doi.org/10.1016/j.ejor.2026.05.039

Dizon NDV; Huang QY; Chuong TD; Li G; Jeyakumar V, 2026, 'Convergent Lifted Lasserre Hierarchy of SDPs for Minimizing Expectation of Piecewise Polynomial Loss over Wasserstein Balls', Journal of Optimization Theory and Applications, 209, http://dx.doi.org/10.1007/s10957-026-02999-z

Caldwell BI; Dizon ND; Jeyakumar V; Li G, 2026, 'A Duality-Guided Proximal Splitting Method for Robust Constrained Best Approximation via Convex Semi-Definite Program Reformulations', Set Valued and Variational Analysis, 34, http://dx.doi.org/10.1007/s11228-026-00793-7

Dizon ND; Jeyakumar V, 2026, 'Characterization and recovery of optimal distributions in Wasserstein expectation problems with non-convex quadratic functions via single SDP', Optimization Letters, http://dx.doi.org/10.1007/s11590-026-02321-w

Huang QY; Dizon ND; Jeyakumar V; Li G, 2026, 'Hidden convexity of separable polynomial systems: exact semi-definite programs for a class of moment-ambiguity distributionally robust optimization problems', Optimization, 75, pp. 2345 - 2376, http://dx.doi.org/10.1080/02331934.2025.2548879

Dizon N; Jauhiainen J; Valkonen T, 2025, 'Online optimisation for dynamic electrical impedance tomography', Inverse Problems, 41, http://dx.doi.org/10.1088/1361-6420/adcb66

Huang QY; Dizon ND; Jeyakumar N; Jeyakumar V, 2025, 'A distributionally robust machine learning model of simultaneous classification and feature selection under data uncertainty: Theory, methods, and application to the identification of Alzheimer's disease using handwriting', Euro Journal on Computational Optimization, 13, http://dx.doi.org/10.1016/j.ejco.2025.100111

Dizon ND; Huang QY; Jeyakumar V, 2025, 'Portfolio selection under data uncertainty: A blended distributionally robust approach of support vector machine and Mean-CVaR portfolio optimization', Optimization and Engineering, http://dx.doi.org/10.1007/s11081-025-10056-3

D. Dizon N; Jauhiainen J; Valkonen T, 2024, 'Prediction Techniques for Dynamic Imaging with Online Primal–Dual Methods', Journal of Mathematical Imaging and Vision, 66, pp. 1109 - 1134, http://dx.doi.org/10.1007/s10851-024-01214-w

Dizon ND; Hogan JA, 2024, 'Holistic Processing of Color Images Using Novel Quaternion-Valued Wavelets on the Plane: A promising transformative tool [Hypercomplex Signal and Image Processing]', IEEE Signal Processing Magazine, 41, pp. 51 - 63, http://dx.doi.org/10.1109/MSP.2024.3379753

Dizon ND; Hogan JA; Lindstrom SB, 2022, 'Circumcentering Reflection Methods for Nonconvex Feasibility Problems', Set Valued and Variational Analysis, 30, pp. 943 - 973, http://dx.doi.org/10.1007/s11228-021-00626-9

Dizon ND; Hogan JA; Lakey JD, 2022, 'Optimization in the construction of cardinal and symmetric wavelets on the line', International Journal of Wavelets Multiresolution and Information Processing, 20, http://dx.doi.org/10.1142/S021969132150048X

Dizon N; Hogan J; Lindstrom S, 2022, 'Circumcentered reflections method for wavelet feasibility problems', ANZIAM Journal, 62, pp. c98 - c111, http://dx.doi.org/10.21914/anziamj.v62.16118

Dao MN; Dizon ND; Hogan JA; Tam MK, 2021, 'Constraint Reduction Reformulations for Projection Algorithms with Applications to Wavelet Construction', Journal of Optimization Theory and Applications, 190, pp. 201 - 233, http://dx.doi.org/10.1007/s10957-021-01878-z

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