Professor Mikhail Moshkov leads the TREES research group, which stands for

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization Research Group

‌Led by Prof. Mikhail Moshkov, the TREES research group. Main research areas: Extensions of Dynamic Programming, Machine Learning and Data Mining, Discrete Optimization, Applied Healthcare Analytics.

Main research areas:

• Extensions of Dynamic Programming (sequential optimization relative to different cost functions, counting of optimal solutions, construction of the set of Pareto optimal points, study of relationships between two cost functions)
• Machine Learning and Data Mining (multi-pruning of decision trees and knowledge representation both based on dynamic programming approach, relationships between exact learning and test theory, study of decision trees over infinite sets of attributes)
• Discrete Optimization (analysis and multi-criteria optimization of decision and inhibitory trees and rules, element partition trees for rectangular meshes, and objects in various combinatorial optimization problems)
• Applied Healthcare Analytics (simulation and optimization of organ allocation policies, analysis of kidney exchange problem)