Rustem Takhanov
EDUCATION
- M.A., Applied Mathematics and Physics, Moscow Institute of Physics and Technology
- Ph.D., Computer Science, Dorodnitsyn Computing Center of Russian Academy of Sciences
- Thesis at PhysTech: “Some estimations of generalization capabilities of learning algorithms”
- Ph.D. dissertation: “Predicate description of supplementary constraints in pattern recognition problems”
RESEARCH INTERESTS
- Machine learning
- Constraint satisfaction problem and its soft versions
- Conditional random fields and structured prediction
- Sequence labeling
- Neural networks
COURSES (2018)
- MATH 321 – 1L – Probability
- MATH 541 – 1L – Data Analysis and Statistical Learning
Relevant poster/presentations:
- Predicate description of supplementary constraints in learning presentation (ru)
- Dichotomy for MinHom presentation
- Pattern-based CRFs poster
- Protein folding prediction and Conditional Random Fields presentation
- Pattern-based CRFs + weighted context-free grammars presentation
- Hybrid constraint satisfaction presentation
- Effectiveness of hybrid csps presentation
Links:
- Austrian Institute of science and Technology
- Moscow Institute of Physics and Technology
- Dorodnitsyn Computing Center
- Linkoeping University
- New University of Astana
- Forecsys
- Yandex
- Google scholar page
People:
Contact information: E-mail: ‘rustem.takhanov’ followed by ‘@’ and the Nazarbayev University domain name
Phone: +7 (7172) 70-46-84
Address:
53 Qabanbay batyr ave,
010000 Astana
Kazakhstan