Lars Arge

 

Professor, PhD Lars Arge
MADALGO Center Director
Department of Computer Science
Aarhus University

email: large@madalgo.au.dk
phone: +45 871-56284 or +45 871-56273
fax: +45 8715 0201


Bio Sketch

I am a Professor of Computer Science and Director of Center for Massive Data Algorithmics (MADALGO) funded by the Danish National Research Foundation.

I received my Ph.D. in Computer Science from Aarhus University in 1996 and until August 2004 I was at the Department of Computer Science at beautiful Duke University where I still hold an Adjunct Professor position.

I am an elected member of the Royal Danish Academy of Sciences and Letters and The Danish Academy of Technical Sciences, an ACM Fellow, and the recipient of the Danish Minister of Research Elite Research Award ("Videnskabsministeriets EliteForsk-pris"), an Ole Rømer Scholarship from the Danish National Science Research Council and a Career Award from the US National Science Foundation. My cv has more detail.

My main research interests lie in the area of memory-hierarchy efficient algorithms, especially I/O-efficient algorithms for problems involving massive datasets. I have worked on massive dataset problems in many fundamental areas, but much of my work has been on I/O-efficient algorithms and data structures for problems with practical applications in geographical information systems and spatial databases. I have investigated the practical merits of theoretically developed I/O-efficient algorithms in projects such as TPIE, TerraFlow, Stream and TerraStream.

I am co-founder of the company Scalable Algorithmics (SCALGO), established to commercialize the terrastream software package for effective processing of massive terrain data.

Teaching
Students
I advise some great students: Former students:  
Postdoc Assistants

Currently:

Previously:

Activities
Editorial responsibilities:

Previous Editorial responsibilities:

Program committee responsibilities:

Invited selected lectures at international conferences and schools:

Projects
I am interested in memory-hierarchy efficient algorithms, especially I/O-efficient algorithms and data structures for problems involving massive datasets. Much of my work is on problems with practical applications in geographical information systems and spatial databases. My work is currently sponsored by the following grants: Previous grants include:

I also very interested in algorithm engineering work. I have e.g. investigated the practical merits of theoretically developed I/O-efficient algorithms in the following projects:

Papers
Please refer to bibliography servers such as DBLP for a list of my papers.
Contact

Phone/Fax:

Office: +45 871-56284
Assistant: +45 871-56273
Cell (if very important): +45 41606166
Department: +45 871-54112
Fax: +45 871-54113

Mail (snail or courier):

Department of Computer Science
Aarhus University
IT-Parken, Aabogade 34
DK-8200 Aarhus N
Denmark

Last modified Friday, 03/08/2013