Introduction:
The Network Epidemics Group at the Rényi Institute works on the mathematical, computational, and data-driven modelling of dynamical epidemiological processes on graphs and networks. On one hand, the group plays special focus on the mathematical foundation of geometric network effects on evolving spreading processes, and on the other hand, on the data-driven simulations of epidemic processes to observe and understand real-world spreading phenomena.
Head of Group:
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Karsai Márton
research professor
research professor
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Research group:DYNASNETNetwork Epidemics Group
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Research department:Combinatorics and applications
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Room:Szép 5.
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Phone:1/4838303
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Email:karsai.marton (at) renyi.hu
Employees:
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Balogh Gáspár Sámuel
research fellow
research fellow
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Research group:Network Epidemics Group
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Research department:Artificial Intelligence
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Room:III.11.
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Phone:+3614838357
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Email:balogh.gaspar.samuel (at) renyi.hu
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Hubai András Gábor
assistant research fellow
assistant research fellow
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Research group:Clinical data analysis groupNetwork Epidemics Group
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Research department:Combinatorics and applications
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Room:III.4.
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Phone:-
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Email:hubai.andras (at) renyi.hu
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Kolok Balázs Csegő
scientific advisor
scientific advisor
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Research group:DYNASNETNetwork Epidemics Group
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Research department:Combinatorics and applications
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Room:II.5.
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Phone:-
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Email:kolok.balazs.csego (at) renyi.hu
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Ódor Gergely
scientific advisor
scientific advisor
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Research group:Network Epidemics Group
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Research department:-
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Room:-
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Phone:-
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Email:odor.gergely (at) renyi.hu