Pavlo Krokhmal
· Director of Industrial Engineering, Professor of Systems and Industrial Engineering, Member of the Graduate FacultyUniversity of Arizona · Systems Engineering
Active 2002–2026
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About
Pavlo Krokhmal is a Professor of Systems and Industrial Engineering and the Director of Industrial Engineering at the University of Arizona. He is a member of the Graduate Faculty and has a background in operations research, mechanics of solids, and applied mathematics, holding PhDs from the University of Florida and Kyiv National Taras Shevchenko University. His research interests encompass stochastic optimization, decision making under uncertainty, risk analysis, probabilistic and stochastic combinatorial optimization, financial engineering, optimal trading strategies, and the pricing of derivatives. He has contributed to the fields of multidisciplinary optimization, cooperative control and decision making, computational and applied mathematics, and continuum mechanics. Krokhmal has an extensive publication record, including book chapters and journal articles, and has been recognized with numerous awards and fellowships for his research and teaching excellence.
Research topics
- Computer Science
- Mathematical optimization
- Mathematics
- Algorithm
- Artificial Intelligence
- Engineering
- Physics
- Statistics
- Discrete mathematics
- Combinatorics
Selected publications
Mixed integer programming with a class of nonlinear convex constraints
Discrete Optimization · 2016-07-30 · 12 citations
articleSenior authorIdentifying risk-averse low-diameter clusters in graphs with stochastic vertex weights
Annals of Operations Research · 2016-05-04 · 9 citations
articleCorrespondingDetecting resilient structures in stochastic networks: A two‐stage stochastic optimization approach
Networks · 2017-01-30 · 8 citations
articleOpen accessCorrespondingWe propose a two-stage stochastic programming framework for designing or identifying “resilient,” or “reparable” structures in graphs whose topology may undergo a stochastic transformation. The reparability of a subgraph satisfying a given property is defined in terms of a budget constraint, which allows for a prescribed number of vertices to be added to or removed from the subgraph so as to restore its structural properties after the observation of random changes to the graph's set of edges. A…
Energy Systems · 2021 · 7 citations
Senior authorCorrespondingUnsupervised Machine Learning for Automatic Image Segmentation of Impact Damage in CFRP Composites
Applied Composite Materials · 2024-07-13 · 6 citations
articleSenior author
Frequent coauthors
- 13 shared
Maciej Rysz
Miami University
- 10 shared
Stan Uryasev
- 9 shared
Olesya I. Zhupanska
- 9 shared
Robert Murphey
- 9 shared
Eduardo L. Pasiliao
United States Air Force Research Laboratory
- 7 shared
Alexander Vinel
Auburn University
- 6 shared
Pãnos M. Pardalos
University of Florida
- 6 shared
David E. Jeffcoat
University of Florida
Awards & honors
- Diploma in the Competition of Young Scientists and Students…
- Soros Student Award International Soros Science and Educatio…
- Scholarship for scientific and academic achievements Nationa…
- Air Force Summer Faculty Fellowship Award Air Force Office o…
- Air Force Office of Scientific Research, Summer I 2018
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