Herbert Wertheim College of Engineering
Kazachkov Lab
Led by Aleksandr Kazachkov · Industrial and Systems Engineering
What we study
The Kazachkov Lab studies optimization algorithms and their applications in healthcare, humanitarian aid, and sports. Their work involves computational methods like cutting plane algorithms and fair resource allocation.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 7
Current projects
To Cut Or Not To Cut, That Is The Question
The lab studies how turning off a common optimization trick called cutting planes can sometimes solve math problems faster. Students will use machine learning to predict when to turn cuts off, training on synthetic problems and testing on real ones.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 327
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Monoidal strengthening of simple V-polyhedral disjunctive cuts
2025 · Mathematical Programming
- V-polyhedral disjunctive cuts
2025 · Mathematical Programming
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- Monoidal strengthening of simple $$\mathcal {V}$$-polyhedral disjunctive cuts
2025 · Mathematical Programming
- $$\mathcal {V}$$-polyhedral disjunctive cuts
2025 · Mathematical Programming
- MIP 2025 Poster: An Extended Abstract Branch-and-Cut Model to Compare Parameterized Cutting and Branching Behavior
2025 · Zenodo (CERN European Organization for Nuclear Research)
Studies how cutting and branching work together in math problem-solving.
- Fair and Efficient Online Allocations
2023 · Operations Research
Shows how to fairly and efficiently distribute food donations online.
- An abstract model for branch and cut
2023 · Mathematical Programming
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Aleksandr Kazachkov hasn't set up this page yet. Their UF Scholars profile lists their publications.