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Resource Allocation in Networks

PhD defence, Monday 30 March 2020, Alvis Logins.

2020.03.30 | Kathrine Nielsen

Alvis Logins

Given the spatial locations of customers and a road network, where to build new facilities that would satisfy the customers’ needs? How to allocate vaccination centers in a country to suppress a virus epidemic? Which Twitter accounts can advertise a piece of news to the largest auditory and in the most robust way? These questions derive from the generic problem of Resource Allocation in Networks. Given network nodes representing a set of consumers and a set of possible resource locations, the goal is to minimize the loss or maximize the profit of allocating a limited budget of indivisible resources.


During his PhD studies, Alvis Logins investigated methods and solutions for this family of resource allocation problems with respect to transportation and diffusion models. He proposed novel techniques to calculate model parameters and to achieve objectives of convenience in facility location, fairness in vehicle cruising, and robustness in diffusion control, with a good balance between scalability and quality.

The PhD study was completed at Department of Computer Science, Faculty of Natural Sciences, Aarhus University.


This résumé is prepared by the PhD student.

Time: Monday 30 March 2020 at 13:00

Place: Will be held online: https://aarhusuniversity.zoom.us/j/238165605

Title of PhD thesis: Resource Allocation in Networks

Contact information: Alvis Logins, e-mail: alvis@cs.au.dk, tel.: +45 31707199

Members of the assessment committee:

Professor Dimitrios Gunopulos, Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece

Professor Matthias Renz, Department of Computer Science, University of Kiel, Germany

Associate Professor Peyman Afshani, Computer Science Department, Aarhus University, Denmark (chairman)

Main supervisor:
Associate Professor Panagiotis Karras, Department of Computer Science, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Science and Technology/GSST,
Ny Munkegade 120, building 1521, 8000 Aarhus C.

PhD defence
12183 / i43