Program

Monday, May 15

09:00 – 09:30 Coffee and registration – outside of Room J1610
09:30 – 09:50 Welcome and general information – Room J1610
09:50 – 10:50 Invited talk: Tomas Akenine-Möller (Lund University, NVIDIA) – Room J1610
Chair: Niklas Lavesson, Blekinge Institute of Technology
10:50 – 11:10 Fredrik Heintz. AI in Sweden: challenges and opportunities – Room J1610
Chair: Håkan Grahn, Blekinge Institute of Technology
11:10 – 11:30 Maj Stenmark, Mathias Haage, and Elin Anna Topp. Simplified Programming of Re-usable Skills on a Safe Industrial Robot — Prototype and Evaluation – Room J1610
Chair: Håkan Grahn, Blekinge Institute of Technology
11:30 – 13:00 Lunch – Room J1504
13:00 – 14:00 Invited talk: Tina Eliassi-Rad (Northeastern University) – Room J1504
Chair: Paul Davidsson, Malmö University
14:00 – 15:00 Session I – Room J1610
Chair: Fredrik Heintz, Linköping University

  • Martin Cooney and Josef Bigun. PastVision: Exploring “Seeing” into the Near Past with a Thermal Camera and Object Detection — For Robot Monitoring of Medicine Intake by Dementia Patients
  • Awais Ashfaq, Markus Lingman, Miltiadis Triantafyllou, Slawomir Nowaczyk, and Anita Sant’Anna. Unravelling healthcare complexity – a machine learning perspective
  • Milena Angelova, Veselka Boeva, and Elena Tsiporkova. Advanced Data-driven Techniques for Mining Expertise

15:00 – 15:30 Coffee
15:30 – 16:00 SAIS Master’s thesis award – Room J1610

The SAIS board is happy to award Thomas Rosenstatter, Halmstad University, the 2017 SAIS Master’s Thesis Award, with the following motivation:

The award goes to Thomas Rosenstatter for his thesis entitled “Modelling the Level of Trust in a Cooperative Automated Vehicle Control System”. The thesis introduces a trust system that allows an autonomous vehicle, in this case a car, to make more reliable and robust decisions by taking into account current information about its context. The system evaluates the current situation and generates a trust index, indicating the level of trust in the environment, the vehicle itself, and other vehicles surrounding it. This work was partly evaluated as part of the winning team in the Grand Cooperative Driving Challenge 2016. The thesis addresses a topic that is timely and of high practical relevance in today’s AI community. The thesis is well written and has the potential of both impacting future research in the field, and practical applications.

16:00 – 17:00 SAIS annual meeting – Room J1610
18:30 – 21:00 Dinner
Restaurant Landbron, Landbron 1, 371 33 Karlskrona

Tuesday, May 16

10:00 – 10:30 Coffee
10:30 – 11:30 Session II – J1610
Chair: Anders Holst, SICS

  • Marcus Bendtsen and Jose M. Peña. Modelling regimes with Bayesian network mixtures
  • Mohamed-Rafik Bouguelia, Sepideh Pashami and Slawomir Nowaczyk. Multi-Task Representation Learning
  • Eva García-Martín, Niklas Lavesson, Håkan Grahn, and Veselka Boeva. Energy Efficiency in Machine Learning

11:30 – 13:00 Lunch at BTH – Room H402B
13:00 – 14:00 Invited talk: Johannes Fürnkranz (Technische Universität Darmstadt) – Room J1610
Chair: Jacek Malec, Lund University
14:00 – 15:00 Session III – Room J1610
Chair: Johan Hagelbäck, Linnaeus University

  • Yuantao Fan, Pablo Del Moral, and Slawomir Nowaczyk. Evaluation of Two Level Classifier for Predicting Compressor Failures in Heavy Duty Vehicles
  • Bin Sun, Wei Cheng, Prashant Goswami, and Guohua Bai. An Overview of Parameter and Data Strategies for kNN-Based Short-Term Traffic Prediction
  • Lawrence Henesey. Improved Inter Terminal Transportation using Agent Technology

15:00 – 15:30 Coffee
15:30 – 16:30 Session IV – Room J1610
Chair: Slawomir Nowaczyk, Halmstad University

  • Martin Boldt, Veselka Boeva, and Anton Borg. Multi-expert estimations of burglars’ risk exposure and level of pre-crime preparation based on crime scene data
  • Mårten Lager, Elin Anna Topp, and Jacek Malec. Long-Term Accuracy in Sea Navigation without using GNSS Systems
  • Radu-Casian Mihailescu and Paul Davidsson. Integration of Smart Home Technologies for District Heating Control in Pervasive Smart Grids

16:30 Workshop closing