June 17

Evening: Get together activity at Pipes of Scotland (, Västra Norrlandsgatan 17, 903 28 Umeå

The get-together event is jointly taking place with an AI-event open to the public 20.00: “U, Me, AI & Beer”: take the opportunity to provide answers to people who wants to ask an AI-researcher something!

June 18

9.00-9.10 Opening of SAIS 2019 (Chair: Helena Lindgren)
9.10-10.00 Keynote: Assoc. Prof. Joanna J. Bryson – AI Is Necessarily Irresponsible (Chair: Helena Lindgren)

10.00-11.00 Poster presentation, coffee, mentoring session (Chairs: Johannes Oetsch, Esteban Guerrero, Neha Barahwal, Andreas Theodorous)

11.00-12.00 Session 1: Learning (Chair: Lili Jiang)
1. Strannegård et al. Dynamic Deep Learning
2. Kampik and Spieker. Learning Agents of Bounded Rationality: Rewards Based on Fair Equilibria
3. Boeva et al. A Split-Merge Framework for Evolutionary Clustering
4. Bergström et al. Bayesian optimization for selecting training and validation data for supervised machine learning
12.00-13.00 Lunch
13.00-14.00 SAIS Master Thesis Award presentations (Chair: Eva Blomqvist)
SAIS Master Thesis Award 2018: Sólrún Halla Einarsdóttir, Chalmers. Theory Exploration on Infinite Structures
SAIS Master Thesis Award 2019: Jesper Jönsson and Emmy Sjöstrand, Lund University. Cell Image Transformation Using Deep Learning
14.00-15.00 Session 2 (Chair: Maitreyee Maitreyee)
2a. AI and Robotics
1.  Åström et al. Utilizing Simulation for Reinforcement Learning and Curiosity Driven Exploration in Robotics
2. Topp and Malec. Ontology-Based Knowledge Representation for Increased Skill Reusability in Industrial Robots
2b. Applications (to be continued the next day)
1. Fan et al. Transfer Learning for RUL Prediction Based on Consensus Self-Organizing Models
2. Jiang et al. Privacy-aware Data Federation Infrastructure
15.00-15.30 Coffee
15.30-16.30 Keynote: Prof. Barry O’Sullivan – Trustworthy AI and the Road to Satisfaction (Chair: Frank Dignum)
16.30-17.30 SAIS annual meeting (Fredrik Heinz)
Evening 18.00: Conference dinner at Sjöbris (

June 19

9.00-10.00 Keynote: Prof. Marcus Liwicki – Conventional and Deep Machine Learning for Reading Systems (Chair: Anders Holst)
10.00-11.00 Poster presentation, coffee, mentoring session
11.00-12.00 Session 3 (Applications, continued) (Chair: Foteini Simistira Liwicki)
3. Wijayatunga and Sundström. Discriminative Prediction of Adverse Events for Optimized Therapies Following Traumatic Brain Injury
4. Nilsson and Sandin. Spatiotemporal Pattern Recognition with Neuromorphic Processor for Edge Applications
5. Thorn et al. Anticipation in collaborative music performance using fuzzy systems: a case study
6. Abghari et al. Monitoring District Heating Substations via Clustering Analysis
12.00-13.00 Lunch
13.00-14.00 Keynote: Prof. Virginia Dignum – Responsible Artificial Intelligence (Chair: Helena Lindgren)
14.00-14.10 Closing SAIS 2019

Posters (both days, 10.00 – 11.00)

Doctoral Projects

Amber Zelvelder. Explainable Reinforcement Learning

Gustav Grund Pihlgren. Towards a Better Understanding of the Features and Dense Representations in ML (to be updated)

Anna Jonsson. N-Best Extraction For Weighted Tree Automata

Alexander Dürr. Robot Skill Learning based on Interactively Acquired Knowledge-based Models

Matthias Mayr. Parametrization of Behavior Trees for Industrial Assembly Skills through Reinforcement Learning

Adam Dahlgren. Generating Scene Graphs Conditioned on Images and Text.

Ongoing Works

Andrea Aler Tubella, Andreas Theodorou, Frank Dignum and Virginia Dignum. Governance by Glass-box: Implementing transparent moral bounds for AI behaviour

Avinash Singh and Kai-Florian Richter. Conflict Detection and Resolution in Table Top Scenarios for Human-Robot Interaction

(Demo). Timotheus Kampik and Peter Hilton. Towards Social Robotic Process Automation

Henrik Björklund, Johanna Björklund and Mona Forsman. Multimodal Support for Industrial Assembly

Xuan-Son Vu, Addi Ait-Mlouk, Erik Elmroth and Lili Jiang. Privacy-concerns in The Era of AI and Social Network Sites

Addi Ait-Mlouk, Lili Jiang and Xuan-Son Vu. Improving RDF data through semantic association rules mining.

Rajkumar Saini, Derek Dobson, Jon Morrey, Foteini Simistira Liwicki and Marcus Liwicki. Chinese Historical Document Image Analysis and Recognition Database

Published Works

Ulf Johansson and Cecilia Sönströd. How Sure are You?

Sule Anjomshoae and Kary Främling. Intelligible Explanations in Intelligent Systems

Elin Anna Topp and Jacek Malec. Ontology-Based Knowledge Representation for Increased Skill Reusability in Industrial Robots

György Kovács and Marcus Liwicki. Noise Robust Multi-Band Speech Recognition Combining Gabor Filters and Time Delay Neural Networks