CFEM – Center for Research in the 
Foundations of Electronic Markets

CFEM - Center for Research in the Foundations of Electronic Markets

- is a research center committed to combining and advancing state-of-the-art of Computer Science and Economics. More specifically, we deal with cryptography, algorithmics, complexity, game theory and mechanism design. Our results will be used to design, analyze and implement new efficient and secure solutions for any type of electronic trading.
This includes auctions, procurement, market regulation, cost allocation and new emerging types of markets on the Internet.

News

2016.09.27 | CS frontpage, Awards, Featured, CFEM , Public/media

Best paper award at SAGT 2016

Kristoffer Arnsfelt Hansen, Rasmus Ibsen-Jensen and Michal Koucký received the best paper award at the 9th International Symposium on Algorithmic Game Theory (SAGT) for their paper “The Big Match in Small Space”. Congratulations!

2016.09.23 | CS frontpage, CTIC, Public/media, Private and public companies, People , Featured

Ivan Damgaard awarded Order of the Dannebrog

Professor Ivan Damgaard has been awarded the honourable Order of the Dannebrog by HM Queen Margrethe II.

2016.08.15 | CS frontpage, CTIC, Featured, Public/media

Best student paper award at the 25th USENIX Security Symposium

Jesper Madsen (master student) and Irene Giacomelli (PhD student) received the Best Student Paper Award at the 25th USENIX Security Symposium for their paper "ZKBoo: Faster Zero-Knowledge for Boolean Circuits" which they wrote in collaboration with Claudio Orlandi. Congratulations!

2016.06.30 | CFEM , CS frontpage, CTIC, Featured, Public/media

From basic research to applicable spin-off technology

The CFEM project is coming to an end, and on July 7, Center for the Foundations of Electronic Markets hosts a reception for partners and others interested. Ivan Bjerre Damgård, Professor at the Department of Computer Science at Aarhus University and one of the Center Managers of CFEM, sums up the highlights of the project.

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Upcoming Events

Fri 07 Dec
15:15-16:00 | Building 5335, room 016 (Peter Bøgh Auditorium)
CS Colloquium - Martin Møller: A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
I would like to invite you to celebrate a 25 year old high-impact paper from Department of Computer Science, AU. To my knowledge, the paper is probably the most ever cited single research result paper written by a single author, a then PhD student, from the Department of Computer Science, AU. It has been cited 3500+ times over the last 25 years, with an increasing frequency, this year to date alone 250+ citations. The paper also shows that the Department of Computer Science was an early mover in the hyped area of Machine Learning, since the topic of the paper is on algorithms for supervised learning. I have asked the author to give a talk based on the paper, and I have also asked him to talk about what his research result has been/is used for today through some examples. The talk will be followed by a little reception, as a warm up to the Katrinebjerg Christmas Lunch, taking place later the same day. See you at the talk! Kaj Grønbæk, Head of Department, Professor.
Wed 12 Dec
13:00-15:00 | Nygaard-395 (5335-395). Åbogade 34, 8200 Aarhus N
PhD defense by Morten Krogh-Jespersen: Towards Modular Reasoning for Stateful and Concurrent Programs

Center Leaders

Ivan Bjerre Damgård

Professor
M
H bldg. 5335, 277
P +4587156258
P +4520837137

Peter Bogetoft

Professor
Email:

Project website

Responsible

Ivan Bjerre Damgård

Professor
M
H bldg. 5335, 277
P +4587156258
P +4520837137

External partners

Peter Bogetoft, professor, Dep. of Economics, CBS

School of Economics and Management, Aarhus University,

Aarhus School of Business, Aarhus University,

Copenhagen Business School,

Institute of Food and Resource Economics, University of Copenhagen,

The Alexandra Institute,

Danish Competition Authority,

Partisia Market Design, TradeExtensions, Inno:vasion, DONG Energy, Energinet.dk 

 

Financed by

The Danish Agency for Science Technology and Innovation

 

 

Grant for CS activities

  • 26.500.000 DKK