The SAIS AI Master's Thesis Award
In order to stimulate work in the area of artificial intelligence at
the undergraduate level of education, SAIS has created a special
yearly award for the best Master's thesis (examensarbete) in the area
of artificial intelligence. The winner will be awarded
travel funds of 5000SEK, and is addition expected to attend the SAIS Workshop 2014 to present the winning contribution (travel, hotel and registration paid by SAIS).
To nominate a Master's thesis for the award, the following rules apply:
- The thesis is in one of the main areas of artificial intelligence research.
- The thesis has been presented officially during the period of January 1, 2013 - January 31, 2014.
- An electronic copy of the thesis (PDF) and a short written
motivation by the official examiner should be sent to firstname.lastname@example.org, include the terms "SAIS"
and "Masters Thesis award" in the subject line, no later than February 28, 2014.
The nomination should include a short motivation why the thesis
should be selected as the winner and state its contributions to AI.
- The official examiner or the primary supervisor must be a member of SAIS.
- Only one thesis nomination per official examiner/primary supervisor is permitted.
The SAIS board will review the nominated Master's theses and determine a
winner based on factors such as novelty, thoroughness, readability,
scientific value and relevance to artificial intelligence both with
respect to research and to potential applications. The decision by the board
will be final. The selected winner will be announced in time for the SAIS workshop, and the prize will be awarded during the SAIS workshop, where the winner is expected to present their work.
Previous award winners:
- Andrea Baisero, KTH.
Encoding Sequential Structures using Kernels - Path-Based Feature Space Embeddings for Sequential Data. Supervisors Carl Henrik Ek and Florian T. Pokorny, KTH and examiner Danica Kragic, KTH.
- Rodrigo Ronald Gumucio Escobar, Uppsala Universitet.
Constraints on Set Variables for Constraint-based Local Search. Supervisor, Pierre Flener.
2011: Nominations, motivation
- Joseph Scott, Uppsala University.
Filtering Algorithms for Discrete Cumulative Resources. Supervisor Mats Carlsson, SICS and examiner Justin Pearson, Uppsala University.
2010: Nominations, motivation
- Roberto Castañeda Lozano, KTH.
Constraint Programming for Random Testing of a Trading System. Supervisors Christian Schulte, KTH and Lars Wahlberg, Cinnober AB.
2009: Nominations, motivation
- Robert Johansson, Örebro University.
Navigation on an RFID Floor. Supervisor Alessandro Saffiotti, Örebro University.
2008: Nominations, motivation
- Malin Aktius, Chalmers University of Technology.
Modeling Hydra Behavior Using
Methods Founded in Behavior-Based Robotics. Supervisor Mats Nordahl, Chalmers University of Technology.
2007: Nominations, motivation
- Boris Schäfer, the University of Skövde Detached tool use in evolutionary robotics - Evolving tool use skills.
Supervisor Nicklas Bergfeldt, Högskolan i Skövde.
- Jie Luo, the Royal Institute of Technology Incremental learning for Adaptive Visual Place Recognition in Dynamic Indoor Environments.
Supervisor Harko Verhagen, the Royal Institute of Technology.
2006: Nominations, motivation
- Germán Gonzalez, the Royal Institute of Technology,
tracking and activity recognition using motion
primitives. Supervisor Magnus Boman, the Royal Institute
2005: Nominations, motivation
- John Stening, University of Skövde. Exploring Internal Simulations of Perception in a Mobile
Robot using Abstractions. Supervisors Henrik Jacobsson and
Tom Ziemke, University of Skövde.
2004: Nominations, motivation
- Mikael Asker, Lund Institute of Technology. Logical Reasoning with Temporal Constraints. Supervisor Jacek Malek, Lund Institute of Technology.
2003: Nominations, motivation
- Gunnar Búason, Skövde University. Competitive Co-Evolution of Sensory-Motor Systems. Supervisor Tom Ziemke, Skövde University.
2002: Nominations, motivation
- Dan-Anders Jirenhed, Linköping University. Exploring Internal Simulation of Perception in a Mobile Robot. Supervisor Tom Ziemke, Skövde University.
- Mathias Broxvall, IDA. Computational Complexity of Point Algebras for Nonlinear Time.
- Rockard Cöster, DSV. Learning from Relevance Feedback in Latent Semantic Indexing.
- Christian Guttmann, DSV. A Software Architecture for Four-Legged Robots.
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