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Matthias Dehmer is Professor at UMIT, Department for Biomedical Computer Science and Mechatronics.

His h-index equals 28 and his i10-index equals 78, #citations=2580 (10.09.2016).

Research Interests

Data Science, Data Analysis, Big Data, Cybersecurity, Disastermanagment, Complex Networks, Risk Analysis, Information Systems, Data Mining, Machine Learning, Information Theory, Bioinformatics, Visual Analytics, and Computational Statistics

 


News

The book "Frontiers of Data Science" has been accepted for publication by CRC (Editors: Matthias Dehmer and Frank Emmert-Streib)

The book "Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry" has been published by Wiley-VCH (Editors: Matthias Dehmer, Yongtang Shi and Frank Emmert-Streib)

Prof. Dehmer is one of the editors of the first books dealing with "Big Data" and "Networks". The book is entitled "Big Data of Complex Networks" and has been published by CRC

Prof. Dehmer is one of the editors of the special issue "Data Farming: Mathematical Foundations and Applications"  with the Journal Axioms hosted by MDPI, 2016

Prof. Dehmer visited the Nankai University, Nov 2-8, 2015

Prof. Dehmer organized a workhop entitled "Big Data" with an international panel at Forschungszentrums Cyber Defence (CODE), Universität der Bundeswehr München, March, 2015

Prof. Dehmer visited the Center for Combinatorics at Nankai University, May 20-27, 2014

Visit of University of Berkeley and develivering a George Leitmann Lecture, May 12-15, 2014

Prof. Dehmer visited NYU for research (Prof. Yap) and the New York City College (CUNY), Prof. Abbe Mowshowitz, December 3-10, 2013

International Symposium ‘Complex Network Analysis: From Graph Theory to Systems Biology’ took place at the UMIT, October 2-4, 2012

Prof. Dehmer and Dr. Emmert-Streib established the book series ‘Quantitative and Network Biology’ at Wiley-Blackwell

Prof. Dehmer, Prof. Varmuza and Prof. Bonchev published an edited book ‘Statistical Modelling of Molecular Descriptors in QSAR/QSPR’ at Wiley-Blackwell

New Book on ‘Statistical and Machine Learning Approaches for Network Analysis’ from Prof. Dehmer and Prof. Basak published by Wiley (USA)

Prof. Dehmer to be member of the editorial boards of Scientifc Reports and PLoS ONE

 

 

Contact Information

Ao. Prof. Dr. habil. Matthias Dehmer

UMIT - The Health and Lifesciences University

Eduard Wallnoefer Zentrum 1

A-6060 Hall in Tyrol, Austria

Tel: +43 (0)50 8648 3851

E-Mail: Matthias.Dehmer@umit.at