Overview
Page Content
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)
Discrete Optimization (analysis and multi-criteria optimization of decision and inhibitory trees and rules, element-based trees for rectangular meshes, objects in various combinatorial optimization problems)
Three Approaches to Data Analysis
Workshop
Optimizing Algorithms using Extensions of Dynamic Programming
PhD Defense | Fawaz Alsolami, April 12 2016
Michal Mankowski joins our group, April 10 2016
Our new paper has been published by Discrete Applied Mathematics Journal
Professor Moshkov's article in Wiley Encyclopedia of Electrical and Electronics Engineering
Page 05/09/2016 15:19:35
Paper published in Theoretical Computer Science
KAUST-KAU Workshop on Data Mining and Knowledge Engineering
PhD Defense | Shahid Hussain, June 22 2016
Prof. Moshkov's keynote speech at Houston
PhD Defense | Hassan AbouEisha, March 5th 2017
Defence_Talha_Amin
CS Graduate Seminar| Breaking the boundaries: from structure to algorithms
New paper in EJOR by M. Azad
Defence of Mohammad Azad
Michal's poster award
A new book.
CS Graduate Seminar by our visitor Professor Vadim Lozin
The First KAUST-MBSC Joint Workshop
KAUST-MBSC Invitational Healthcare Analytics and Data Science Workshop