discrete optimization

Shahid Hussain

Ph.D. Student, Computer Science

machine learning discrete optimization

Research Interests Design and analysis of decision trees based on dynamic programming and greedy approaches Machine learning Discrete optimization Selected Publications Azad, M., Chikalov, I., Hussain, S., and Moshkov, M. Restricted multi-pruning of decision trees, In Machine Learning and Data Analytics Symposium as plenary talk (2016) (Awarded best paper). Busbait, M., Chikalov, I., Hussain, S., and Moshkov, M. Diagnosis of constant faults in read-once contact networks over finite bases. Discrete Applied Mathematics, 184 (2015), pp. 76–88. AbouEisha, H., Hussain, S., Lozin, V., Monnot, J

Michal A. Mankowski

Postdoctoral Research Fellow, Computer Science

Dynamic programming Combinatorial machine learning Complexity of algorithms discrete optimization

As a member of the KAUST Extensions of Dynamic Programming, Machine Learning, Discrete Optimization research group (TREES), Mankowski is currently developing an algorithmic and theoretical framework for combinatorial optimization. The application side of his research centers on healthcare analytics and operations research applied to the healthcare domain. Research Interests Dynamic programming Combinatorial optimization Complexity of algorithms Healthcare Analytics Education Profile Ph.D. (Computer Science), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2020. M.S.

Mikhail Moshkov

Professor, Applied Mathematics and Computational Sciences

machine learning data mining discrete optimization algorithmic complexity

Professor Moshkov specializes in various areas of discrete applied mathematics, theoretical computer science and operations research. He is the author or co-author of more than 200 research publications, including 10 books published by Springer.