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Mathematical Methods and Computational Algorithms for Complex Networks Benard Abola

Division of Applied Mathematics, M¨ alardalen University Department of Mathematics, Makerere University

First Network Meeting for Sida- and ISP-funded PhD Students in Mathematics Stockholm 7–8 March 2017

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My Advisors

Sergei Silvestrov Anatoliy Malyarenko John Mango

Main advisor Assistant advisor Supervisor M¨ alardalen University M¨ alardalen University Makerere University

Milica Rancic Christopher Engstr¨

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Godwin Kakuba

Assistant advisor Assistant advisor Co-supervisor M¨ alardalen University M¨ alardalen University Makerere University 2 / 6

Research Topic

The research will focus on analysis of complex networks. More specifically on:-

1 Developing mathematical methods ans algorithms for analysis

• f big complex networks.

2 Investigating the applications of the models in (1) on real

data from bioinformatics and financial industries. Example Complex networks from biological sciences

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Methods

Graph theory and Algorithms. Stochastic Processes. Markov chains.

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Impact and Applications of My Research

The outcome of the research will improve understanding of large / sparse complex data arising from bio-informatics, financial markets, text mining, social networks and others field. Beneficiary: biologists, engineers, data analysts, financial market analyst , policy makers, . . . . will expand on the existing mathematical methods of complex data analysis. Beneficiary: researchers.

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Tack s˚ a mycket! Thank you!

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