Highlights
Contact Info




Luboš Brim
Faculty of Informatics
Masaryk University
Botanicka 68a
Room A411
602 00 BRNO
Czech Republic

Tel: +420 549 493 647
Fax: +420 549 491 820
brim at fi dot muni dot cz

Luboš Brim

Professor, Dept. of Computer Science, Faculty of Informatics, Masaryk University

I have a M.S. in Mathematics from Masaryk University (1976) and PhD in Computer Sciencs from the Czech Academy of Sciences (1986) under Professor J. Horejs. Since 2006 I am a full professor of informatics at Masaryk University.

My current research interests include automated formal verification, parallel verification and computational systems biology.

Bibliographical Summary (external link)

Selected Publications

Education (pages in Czech)

Systems Biology

I'm heading the Systems Biology Laboratory. The laboratory was established in 2009 with the aim of integrating and intensifying reserach and education activities in the emerging area of Computational Systems Biology at the Faculty of Informatics, Masaryk University.

Our long-term research goal is to develop and apply computational science and technology to enhance our understanding of the molecular mechanisms underlying the behavior of living systems and develop scalable methods and tools for modeling and computerized analysis of large and complex living systems.

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DiVinE

DiVinE is an extensible framework to support verification and analysis of large-scale computer systems on parallel architectures. DiVinE is a collection of state-of-the-art verification algorithms incorporated into a several tools which are as easy to install as most sequential tools.

DiVinE is free for non-profit use, e.g. for evaluation, research, and teaching purposes.

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Parallel Verification

Techniques for automated and semi-automated analysis and verification of computer systems are computationally demanding and memory-intensive and their applicability to extremely large and complex systems cannot be efficiently handled unless we use more sophisticated and scalable methods.

Platform-depended techniques attack the scalability problem by exploiting the capabilities of modern hardware architectures. They fight memory limits with efficient utilisation of external I/O devices, introduce cluster-based algorithms to employ aggregate power of network-interconnected computers, speed-up the verification on multi-core processors or accelerate verification using GPU devices.

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A Bit of History
The Department of Applied Mathematics was located in the historical buildings till 1981 (the two photographs on the left). The rightmost photograph was taken during the visit of Prof. Ballag (1976).
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