2019 NAIS Symposium

The 2019 Symposium of the Norwegian AI Society will take place from May 27 to May 28 at NTNU in Trondheim. The symposium aims at bringing together researchers and practitioners in the field of Artificial Intelligence from Norway and Scandinavia to present on-going work and discuss the future directions of AI. With the symposium NAIS provides a forum for networking among researchers as well building links with related research fields, practitioners and businesses.


Time Presentation
Monday, May 27 2019
11:00 - 12:00 Registration
The symposium will take place at Kjelhuset, room Kjel 5, on the Gløshaugen campus.
12:00 - 12:15 Welcome and Introduction
Massimiliano Ruocco and Kerstin Bach
12:15 - 13:00 Invited Talk
13:00 - 14:00 Technical Session I
Flávia Dias Casagrande and Evi Zouganeli: Activity Recognition and Prediction in Real Homes
Deepika Verma, Kerstin Bach and Paul Jarle Mork: Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach
Filippo Remonato, Ole Martin Lovvik and Espen Flage-Larsen: Effectiveness of Neural Networks for Research on Novel Thermoelectric Materials. A proof of concept.
14:00 - 14:45 Invited Talk: Vespa.AI
Jon Bratseth
Abstract: The big data world has mature technologies for offline analysis and learning from data, but have lacked options for making data-driven decisions in real time. This talk introduces vespa.ai - a mature open source platform for storing, selecting processing and making model inferences over large data sets at end user request time.
14:45 - 15:30 Coffee Break and Poster Session
List of accepted posters
15:30 - 16:30 Technical Session II
Tønnes F. Nygaard, Jørgen Nordmoen, Kai Olav Ellefsen, Charles P. Martin, Jim Torresen and Kyrre Glette: Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing
Francesco Scibilia, Knut Sebastian Tungland, Anders Røyrøy and Marianne Bryhni Asla: Energy industry perspective on the definition of autonomy for mobile robots
Kai Olav Ellefsen and Jim Torresen: Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
16:30 - 17:30 Invited Talk
Bernt Viggo Matheussen, Agder Energi
Abstract: tba
19:00 Symposium Dinner at Bakklandet
Tuesday, May 28 2019
9:00-10:00 Panel: The status of AI in Norway: challenges and future directions
Ole Jakob Mengshoel (NAIL Director / NTNU)
Klas Pettersen (CEO NORA)
Signe Riemer-Sørensen (Research Scientist, Sintef Digital)
Ola Tørudbakken​ (SVP Rackscale, Graphcore)
10:00 - 10:30 Coffee Break and Poster Session
List of accepted posters
10:30 - 11:30 Technical Session III
Hege Haavaldsen, Max Aasbø and Frank Lindseth: Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments
Signe Riemer-Sørensen, Jie Wu, Halvor Lie, Svein Sævik and Sang-Woo Kim: Data-driven prediction of vortex-induced vibration response of marine risers subjected to three-dimensional current
Fredrik Vatsendvik, Åsmund Brekke and Frank Lindseth: Multimodal 3D Object Detection from Simulated Pretraining
11:30 - 12:15 Invited Talk: Bayesian preference learning
Arnolodo Frigessi, University of Oslo
Abstract: Preference data occur when users express comparative opinions about a set of items, by rating, ranking, pair comparing, liking or clicking, indicating very incomplete and possibly self-contradictory opinions. The aim is to estimate for each user the individual ranking of the items. This is an important part of a recommender systems. We rapidly review our work on probabilistic approaches to preference learning, including the Mallows and Bradley-Terry models. We illustrate and discuss the use of these methods, comparing to matgrix factorisation approaches. Particularly interesting is the enhancement of diversity. This is joint work with Qinghua Liu, Marta Crispino, Ida Scheel, Valeria Vitelli, Øystein Sørensen, Elja Arjas.
12:15 - 13:00 Networking Lunch

Technical papers will have a 20 min presentation, please leave 3-5 min for a discussion.


To register for the symposium please fill out this form: Registration


Student (Master, PhD): 500 NOK

Regular Participant: 1000 NOK

Industy Participant: 1500 NOK

On-site Registration: 2000 NOK

Fees include particpation, symposium dinner as well as coffee and lunch break. Further the registration fee also includes the optional membership of the Norwegian AI Society for one year at no extra cost.


Submission Deadline: April 18, 2019

Notification Date: May 7, 2019

Camera-Ready Deadline: May 21, 2019

Workshop date: May 27 and May 28

Call for Papers

Contributions are welcome from all areas of Artificial Intelligence and topics of interest include but are not limited to:

  • Machine Learning,
  • Knowledge Representation,
  • Robotics
  • Planning and Scheduling
  • Natural Language Processing,
  • Computer Vision,
  • Search Algorithms,
  • Multi-Agent-Systems,
  • Industrial Applications, and
  • Philosophical and Ethical Foundations.

Submission Instructions

We welcome and encourage the submission of high-quality papers that have not already been published elsewhere. Full papers should be written in English, formatted according to the Springer LNCS style, and not exceed 12 pages plus bibliography. Author's instructions, along with LaTeX and Word macro files, are available at Springer's website. We also invite submission of position papers. They must not exceed 6 pages and they should relate to an ongoing research, but can also present work that has been presented elsewhere. Please state clearly where the paper has been presented before. Position papers will be presented by the authors alongside regular papers. Selected papers will be invited for an oral or poster presentation.

We highly encourage early stage researchers and PhD students to submit their work.

Paper submission is electronic via easychair at the address: https://easychair.org/conferences/?conf=nais2019. We plan to publish the accepted papers in a formal proceeding, indexed by the national Cristin database. Papers must be written in English and formatted according to the Springer LNCS guidelines. Author instructions, style files and the copyright form can be downloaded here.


Program Committee Members

  • Steven Bos, University of South-Eastern Norway
  • Humberto Castejon, Telenor Research and Future Studies
  • Simen Eide, FINN.no / University of Oslo
  • Gabriele Martinelli, Refinitiv (Thomson Reuters)
  • Frank Alexander Kraemer, Norwegian University of Science and Technology
  • Pierluigi-Salvo Rossi, Kongsberg Digital
  • Giuseppe Claudio Guarnera, Norwegian University of Science and Technology
  • Valeria Vitelli, University of Oslo
  • Anis Yazidi, Oslo Metropolitan University
  • Agnar Aamodt, Norwegian University of Science and Technology
  • Anastasios Lekkas, Norwegian University of Science and Technology
  • Heri Ramampiaro, Norwegian University of Science and Technology
  • Alex Alcocer, Oslo Metropolitan University
  • Magdalena Ivanovska, University of Oslo
  • Benjamin Dunn, Norwegian University of Science and Technology
  • Rudolf Mester, Norwegian University of Science and Technology
  • Axel Tidemann, Telenor Research
  • Jim Torresen, University of Oslo
  • Zhirong Yang, Norwegian University of Science and Technology
  • Jo Eidsvik, Norwegian University of Science and Technology
  • Francesco Scibilia, Equinor / Norwegian University of Science and Technology
  • Stefano Nichele, Oslo Metropolitan University
  • Leendert W. M. Wienhofen, Trondheim Kommune
  • Arjun Chandra, Telenor Research
  • Signe Moe, Sintef Digital
  • Signe Riemer, Sintef Digital
  • Trygve Karper, Cognite
  • Helge Langseth, Norwegian University of Science and Technology
  • Erlend Aune, Exabel / Norwegian University of Science and Technology
  • Kiran Raja, University of South-Eastern
  • Morten Goodwin, University of Agder
  • Christoph Trattner, University of Bergen
  • Aria Rahmati, DNB
  • Jon Arne Glomsrud, DNV GL
  • Gudmund Hermansen, University of Oslo
  • Baltasar Beferull-Lozano, Universitetet i Agder
  • Aurelie Jallat, Equinor


The symposium will take place at the Gløshaugen Campus of Norwegian University of Science and Technology (NTNU) in Trondheim. NTNU is Norway's main technical university, offering education and research in technology, engineering, natural sciences, and human and social sciences, with a total of 22.000 students. NTNU's main campus Gløshaugen is located only a 15-30 minute walk from most hotels in the city centre. The campus offers a wide range of lecture halls, all located in a compact area. In 2016, NTNU is merging with the three regional university colleges in Gjøvik (HiG), Åleseund (HIALS) and Trondheim (HiST), making NTNU the largest university in Norway.

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