Top honors for KAUST students at OMOUS-2024 1 min read · Fri, Mar 15 2024 News We are happy to share the achievement of KAUST students, Kerven Durdymyradov and Charles Edward Sexton, at the Open Mathematical Olympiad for University Students (OMOUS-2024) held in Ashgabat, Turkmenistan, from March 3-8, 2024. In the individual competition over 500 contestants from from Bulgary, China, Indonesia, Russia, Saudi Arabia, Spain, Turkmenistan, and Uzbekistan competed, and more than 50 teams competed in the team competition. Charles Sexton won a bronze medal in the individual category and his team led by Kerven, won a silver medal in the team competition. Kerven is a Ph.D
Kidney Matchmaking Receives Algorithm Boost 1 min read · Tue, Nov 14 2023 News Simulations that match patients with chronic kidney disease to suitable donors will enhance the efficacy of the new Saudi National Kidney Donor Exchange Program.
Top honors for KAUST students at OMOUS-2023 1 min read · Tue, Aug 29 2023 News KAUST students Kerven Durdymyradov and Charles Edward Sexton, shine at the Open Mathematical Olympiad for University Students in Ashgabat, Turkmenistan, with Sexton receiving a bronze medal in the individual competition and their team securing a silver medal in the team competition.
Decision Trees for Fault Diagnosis in Circuits and Switching Networks 1 min read · Thu, Aug 24 2023 News A new book titled “Decision Trees for Fault Diagnosis in Circuits and Switching Networks” by Monther Busbait, Mikhail Moshkov, Albina Moshkova and Vladimir Shevtchenko has been published online
Decision Trees with Hypotheses 1 min read · Sun, Nov 20 2022 News New book Decision Trees with Hypotheses by Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, and Beata Zielosko has been published online.
Workshopping ways to revolutionize in-Kingdom kidney care 1 min read · Sun, Dec 19 2021 News The KAUST Saudi National Kidney Paired Donation Workshop, organized by Professor Michał Mańkowski with support from the KAUST CEMSE Division, brought together 12 of the Kingdom's top experts in kidney transplantation to discuss the future of this complex and highly important surgical procedure.
Alumni Focus: Michal A. Mankowski 1 min read · Thu, Jul 29 2021 News KAUST Alumnus Michal Mankowski's first encounter with KAUST was in 2015 when he joined the university as a VSRP student. Then, in 2016, he started his Ph.D. program and defended it in the year 2020, and then he continued as a Pos tdoc under prof. Mikhail Moshkov. He worked on multi-objective optimization and applied operations research in the healthcare domain. Together with his PI, they published a book describing a novel framework on multi-objective optimization using dynamic programming (2021). Michal is joining Erasmus Univerys Rotterdam, Netherlands as an Assistant Professor of Operations
First joint publication between KAUST and MBSC seeks to improve treatment options for chronic kidney disease in Saudi Arabia 1 min read · Tue, Mar 9 2021 News healthcare genomic data Biomedical Signal Processing organ transplantation kidney exchange program Chronic kidney disease (CKD) is among the most common causes of death in Saudi Arabia. According to the 2018 edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report, the prevalence of CKD among the Kingdom’s general population stands at 5.44% and accounts for a 4.04% mortality rate.
New Book of Postdoc Michal Mankowski and Professor Mikhail Moshkov is published by Springer 1 min read · Tue, Feb 16 2021 News New book "Dynamic Programming Multi-Objective Combinatorial Optimization" by Michal Mankowski and Mikhail Moshkov is published by Springer.
New book of Mikhail Moshkov "Comparative Analysis of Deterministic and Nondeterministic Decision Trees" is published by Springer 1 min read · Mon, Mar 16 2020 Spotlight News Mikhail begun to write this book more than 30 years ago in Lobachevsky State University of Nizhni Novgorod, continued in University of Warsaw, University of Silesia in Katowice, and Stanford University, and finished last year in King Abdullah University of Science and Technology.
Ph.D. student Michał Mańkowski helps advance transplantation field 1 min read · Wed, Feb 26 2020 News healthcare data analysis Research work carried out by Michał Mańkowski, a Ph.D. student in the University's Computer, Electrical and Mathematical Science and Engineering division, was recently selected for inclusion by the editors of the American Journal of Transplantation (AJT) in their "Top 10 Articles of 2019." See the KAUST News website for a full article.
KAUST-MBSC Invitational Healthcare Analytics and Data Science Workshop 1 min read · Thu, Feb 13 2020 News Our group, jointly with Joris van de Klundert from Prince Mohammad Bin Salman College for Business & Entrepreneurship organized the First KAUST-MBSC Invitational Healthcare Analytics and Data Science Workshop. The amount of collected medical data and computational power are growing rapidly, which creates new opportunities to impact and improve healthcare through advanced analytics and data science. We aim to bring together practitioners and researchers from across the Kingdom to exchange knowledge and explore possible collaborations. Organizers: Joris van de Klundert (Prince Mohammad Bin
The First KAUST-MBSC Joint Workshop 1 min read · Sun, Apr 28 2019 News Our team has co-organized the first joint workshop between KAUST and Prince Mohammad Bin Salman College (MBSC). Presenters from both institutions will introduce their research projects in areas such as Game Theory, Operations Research, Finance, and Business & IT Operations. For more details see the full program.
Our new book came out! Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining 1 min read · Fri, May 25 2018 News Our new book titled "Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining " by AbouEisha, H., Amin, T., Chikalov, I., Hussain, S., Moshkov, M. has been published. About the book: "Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i)
PhD Defense | Mohammad Azad, April 10th 2018 1 min read · Tue, Apr 10 2018 News PhD defense of our colleague Mohammad Azad. Thesis title: Decision and Inhibitory Trees for Decision Tables with Many-valued Decisions. Decision trees are one of the most commonly used tools in decision analysis, knowledge representation, machine learning, etc., for its simplicity and interpretability. We consider an extension of dynamic programming approach to process the whole set of decision trees for the given decision table which was previously only attainable by brute-force algorithms. We study decision tables with many-valued decisions (each row may contain multiple decisions) because
Michal's poster distinction award 1 min read · Mon, Jan 22 2018 News Our PhD Student, Michal Mankowski presented his work in collaboration with the Epidemiology Research Group in Organ Transplantation (Johns Hopkins Univ.) at the American Society of Transplant Surgeons (ASTS) Winter Symposium. He received Poster of Distinction Awards and gave a soapbox presentation, a short proposal to save more lives through transplantation, on behalf of prof. Sommer Gentry. photo credits: https://twitter.com/ERGOT_JH/status/952574287155810304
New paper in EJOR by M. Azad and M. Moshkov 1 min read · Sun, Jun 11 2017 News Our new article titled Multi-stage optimization of decision and inhibitory trees for decision tables with many-valued decisions by Mohammad Azad and Mikhail Moshkov has been accepted by European Journal of Operational Research.
PhD Defense | Talha Amin, April 12th 2017 1 min read · Wed, Apr 12 2017 News PhD defense of our colleague Talha Amin. Thesis title: Design and Analysis of Decision Rules Via Dynamic Programming The areas of machine learning, data mining, and knowledge representation have many different formats used to represent information. Decision rules, amongst these formats, are the most expressive and easily-understood by humans. In this thesis, we use dynamic programming to design decision rules and analyze them. The use of dynamic programming allows us to work with decision rules in ways that were previously only possible for brute force methods. Our algorithms allow us to
PhD Defense | Hassan AbouEisha, March 5th 2017 1 min read · Sun, Mar 5 2017 News PhD defense of our colleague Hassan AbouEisha. Thesis title: Optimization of Algorithms Using Extensions of Dynamic Programming During this presentation, we discuss questions related to the complexity of various important problems such as: multi-frontal solvers of hp-adaptive finite element method, sorting and majority. The use of dynamic programming as a viable tool to study optimal algorithms for these problems will be advocated. The main approach used to attack these problems is modeling classes of algorithms that may solve this problem using a discrete model of computation then defining
Prof. Moshkov's keynote speech at Houston 1 min read · Thu, Oct 20 2016 News The 5rd International conference on Biometrics and Biostatistics, was held during October 20-21, 2016 at Houston, Texas, USA based on the theme “Exploring Advances in Biometrics & Biostatistics". Professor Moshkov gives a keynote speech titled: "Extensions of dynamic programming for machine learning and knowledge representation".
PhD Defense | Shahid Hussain, June 22 2016 1 min read · Wed, Jun 22 2016 News Thesis title: Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining This thesis is devoted to the development of extensions of dynamic programming to the study of decision trees. The considered extensions allow us to make multi-stage optimization of decision trees relative to a sequence of cost functions, to count the number of optimal trees, and to study relationships: cost vs cost and cost vs uncertainty for decision trees by construction of the set of Pareto-optimal points for the corresponding bi-criteria optimization problem. The applications
PhD Research Proposal Defense | Hassan Abou Eisha, May 1st 2016 1 min read · Sun, May 1 2016 News Hassan successfully defended his PhD research proposal "Optimizing Algorithms using Extensions of Dynamic Programming". Congratulations! https://trees.kaust.edu.sa/Pages/aboueishah.aspx
PhD Defense | Fawaz Alsolami, April 12 2016 1 min read · Tue, Apr 12 2016 News Fawaz Alsolami has successfully defended his dissertation titled "Decision and Inhibitory Rule Optimization for Decision Tables with Many-valued Decisions". Congratulations Dr. Alsolami! Abstract of dissertation: If-then’ rule sets are one of the most expressive and human-readable knowledge representations. This thesis deals with optimization and analysis of decision and inhibitory rules for decision tables with many-valued decisions. The most important areas of applications are knowledge extraction and representation. The benefit of considering inhibitory rules is connected with the fact
Michal Mankowski joins our group, April 10 2016 1 min read · Sun, Apr 10 2016 News The Extensions of Dynamic Programming, Machine Learning, Discrete Optimization Group welcomed Michal Mankowski as its new PhD student.
Our paper considered best paper at MLDAS, Doha, Qatar | March 15 2016 1 min read · Tue, Mar 15 2016 News Our paper Restricted Multi-Pruning of Decision Trees by Mohammad Azad, Shahid Hussain, Igor Chikalov, and Mikhail Moshkov was considered best paper at MLDAS 2016 ( http://www.mldas.org/index.php) - Machine Learning and Data Analytics Symposium organized in Doha, Qatar by Qatar Computing Research Institute (QCRI) and by The Boeing Company.
New book Three Approaches to Data Analysis 1 min read · Thu, May 31 2012 News In this book, the following three approaches to data analysis are presented; 1.) Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958. 2.) Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982. 3.) Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. See more about it