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Math and Stat Profile

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Margaret Wiecek

Mathematical and Statistical Sciences


Martin Hall O208 [Office]


Educational Background

PhD, Systems Engineering, AGH University of Science and Technology, Krakow, Poland
MS, Electrical Engineering, AGH University of Science and Technology, Krakow, Poland

Research Interests

Mathematical optimization, multiobjective optimization, parametric optimization, distributed optimization,
optimization under uncertainty, applications in engineering design, routing, portfolio optimization

Courses Taught

MATH 4400/6400 Linear Programming
MATH 4420/6420 Advanced Mathematical Programming
MATH 4500 Introduction to Mathematical Models
MATH 8100 Introduction to Mathematical Programming
MATH 8110 Nonlinear Programming
MATH 8140 Network Flow Programming
MATH 8190 Multicriteria Optimization
MATH 8740 Integration through Optimization
DSA 8420 Advanced Mathematical Programming

Selected Publications

- B. Dandurand and M.M. Wiecek, Distributed computation of Pareto sets, SIAM Journal on Optimization, 2015, vol. 25, no. 2, pp. 1083–1109.
- M.M. Wiecek and G. Dranichak, Robust Multiobjective Optimization for Decision Making under Uncertainty and Conflict, in: Optimization Challenges in Complex, Networked, and Risky Systems, eds. A. Gupta and A. Capponi, series Tutorials in Operations Research, ed. J.C. Smith, INFORMS 2016, pp. 84–114.
- N. Adelgren and M.M. Wiecek, A two-phase algorithm for the multiparametric linear complementarity problem, European Journal of Operational Research, 2016 vol. 254, no. 3, pp. 715–738.
- L. Weereasena and M.M. Wiecek, A tolerance function for the multiobjective set covering problem, Optimization Letters, 2018, vol. 13, no. 1, pp.3–21.
- G. Dranichak and M.M. Wiecek, On highly robust efficient solutions for multiobjective linear programs, European Journal of Operational Research, 2019, vol. 273, no. 1, pp. 20–30.
- T. Dietz, K. Klamroth, K. Kraus, S. Ruzika, L. Schaefer, B. Schulze, M. Stiglmayr, and M.M. Wiecek, Introducing multiobjective complex systems, European Journal of Operational Research, 2020, vol. 280, pp. 581–596.
- P.L.W. Jayasekara, N. Adelgren, and M.M. Wiecek, On convex multiobjective programs with an application to portfolio optimization, Journal of Multi-criteria Decision Analysis, 2020, vol. 27, no. 3–4 pp. 189–202.

Honors and Awards

- Sofia Kovalevskaia Visiting Professorship, University of Kaiserslautern, Germany, 1995
- Mercator Visiting Professorship, German Science Foundation, Germany, 2002
- Research advisor for Alexander Engau who received the 2007 Clemson University Graduate School Outstanding Graduate Research Award
- Collaborative Award, College of Engineering and Science, Clemson University, 2012
- Research Award, Department of Mathematical Sciences, Clemson University, 2014
- MCDM Gold Medal, International Society on Multi-Criteria Decision Making, 2019
- Research advisor for Brian Dandurand who was recognized as a Finalist for the Multi-Criteria Decision Making Junior Researcher Best Paper Award at 2019 INFORMS Annual Meeting
- Excellence in Discovery Faculty Award, College of Science, Clemson University, 2020
- Research advisor for Garrett Dranichak who was recognized as a Finalist for the Multi-Criteria Decision Making Junior Researcher Best Paper Award at 2020 INFORMS Annual Meeting