Welcome by Pinar Heggernes, Pro Rektor UiB and Klas Pettersen, CEO, NORA
09:15-10:15
Keynote by Professor Danica Kragic, KTH
Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001. She has been a visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. She is a member of the Royal Swedish Academy of Sciences, Royal Swedish Academy of Engineering Sciences and Young Academy of Sweden. She holds a Honorary Doctorate from the Lappeenranta University of Technology. She chaired IEEE RAS Technical Committee on Computer and Robot Vision and served as an IEEE RAS AdCom member. Her research is in the area of robotics, computer vision and machine learning. In 2012, she received an ERC Starting Grant. Her research is supported by the EU, Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research and Swedish Research Council. She is an IEEE Fellow.
More at : https://www.csc.kth.se/~danik/
Learning interaction and collaboration for robotics tasks
10:15-10:30
Coffee break
10:30-11:30
Track 1 - Robotics and Image Processing
11:30-12:30
Lunch
12:30-13:30
Track 2 - Explainable AI & Time Series
13:30-14:30
Posters & Mingling
14:30-15:00
Coffee Break
15:00-16:00
Panel Discussion – What is the future of NORA & Norwegian AI
Marija Slavkovik, Professor, UiB - Moderator
Klas Pettersen, CEO, NORA
Klas Pettersen is CEO of NORA – Norwegian Artificial Intelligence Research Consortium, a collaboration within artificial intelligence, machine learning and robotics between eight Norwegian universities, two university colleges and three research institutes within artificial intelligence, machine learning and robotics.
Originally educated as a civil engineer in physics from the Norwegian University of Science and Technology, where he studied quantum mechanics and the theory of relativity, he turned into neuroscience and received a PhD in computational neuroscience in 2007 from the Norwegian University of Life Sciences (NMBU).
The later years (2014-2019) he has applied physics, mathematics, informatics and techniques from artificial intelligence to understand the brain, as a research scientist at the Faculty of Medicine at the University of Oslo. From 2008 to 2013 he worked as a postdoctoral researcher and a research scientist at NMBU, in the Group for Computational Biology and later also at the Center for Integrative Genetics.
Klas has also worked as a Visiting Scholar at the University of California San Diego (2015), and as a consultant for Accenture. From 2019 he is the CEO of NORA.
Morten Dæhlen, Professor at UiO & Centre Manager of dScience
Inge Jonassen - Professor & Head of Department of informatics, UiB
Signe Riemer Sørensen - Researcher, SINTEF Digital, Mathematics and Cybernetics
Athanasios V. Vasilakos is with CAIR, UiA, and his main research interests include IoTs/mobile nets, artificial intelligence/machine learning, cybersecurity, and big data analytics. He has more than 44 000 citations, H-index=113. He served or is serving as an Editor for many technical journals, such as the IEEE Transactions On Network And Service Management, IEEE Transactions On Cloud Computing, IEEE Transactions On Information Forensics And Security, IEEE Transactions On Cybernetics, IEEE Transactions On Services Computing, IEEE Transactions On Nanobioscience, IEEE Transactions On Information Technology In Biomedicine, ACM Transactions On Autonomous And Adaptive Systems, and IEEE Journal On Selected Areas In Communications. He was also General Chair of the European Alliances for Innovation.
18:00-20:00
Dinner at Akvariet Bergen *
*Det Nasjonale Akvariet i Bergen: Nordnesbakken 4, 5005 Bergen
Day 2
November 18th
08:30-09:15
Registration and Coffee
09:15-10:15
Keynote by Professor Ian Horrocks, Oxford University
Ian Horrocks is a full professor in the Oxford University Department of Computer Science, a visiting professor in the Department of Informatics at the University of Oslo and a co-founder of Oxford Semantic Technologies. He is also a Fellow of the Royal Society, a member of Academia Europaea, a fellow of the European Association for Artificial Intelligence (EurAI), a Fellow of the Alan Turing Institute and a British Computer Society Lovelace Medalist. His research concerns the representation of knowledge, and the efficient manipulation of such knowledge by computers. He played a leading role in establishing the Semantic Web as a significant research field, pioneering many of the underlying logics, algorithms, optimisation techniques, and reasoning systems. He has contributed to the development of several widely used reasoning systems including FaCT++, HermiT, Elk and RDFox. He has published more than 300 papers in major international conferences and journals, winning best paper prizes at KR-98, AAAI-2010, and IJCAI-2017, and test of time awards at ISWC-2013, KR-2020 and CADE-2021. He is one of the UK’s most highly cited computer scientists, with more than 68,000 citations, and an h-index of 99.
Knowledge Graphs: Theory, Applications and Challenges
Knowledge Graphs have rapidly become a mainstream technology that combines features of databases and AI. In this talk I will present my personal view of what a knowledge graph is, discuss the theory behind them, and illustrate their use in a range of applications. I will then consider the challenges inherent in both the implementation and application of Knowledge Graphs and present some of our recent research that addresses both aspects.
10:15-10:30
Coffee break
10:30-11:30
Track 3 - Deep Learning and NLP
11:30-12:30
Lunch
12:30-13:50
Track 4 - Graphic Models and Miscellaneous
13:50-14:00
Coffee Break
14:00-14:40
Uninett/Sigma2
What is the NCC, and what can the NCC do for Norwegian business?
Espen Flage-Larsen, Senior Researcher, SINTEF
14:40-15:00
Norwegian AI Directory
15:00-17:15
NORA.startup Segment
Panel discussion:
Odd Gurvin, Project Leader, Norwegian Cognitive Center - Moderator
Lars Ailo Bongo, Professor, UiT, co-founder Medsensio
Freyja Jørgensen, Innovation Manager at Simula/ Grundergarasjen & Leader og the NORA.startup steering group
Jakob Voigt, Industrial PhD, Neddy
Erlend Waaler, Head of StartupLab Bergen
17:15-17:25
Conference closing
Tracks NORA Annual Conference
Track 1: Robotics and Image Processing
Time
Abstract
Presenter
10:30-10:50
The circulation and governance of deepfakes in China
Gabriele de Seta
Postdoctoral Researcher, UiB
10:50-11:10
Causal Feature Attribution for Robotic Lever Manipulation using Deep Reinforcement Learning
Sindre Benjamin Remman
PhD Student, NTNU
11:10-11:30
Introducing a Multimodal Elderly Care Safety Alarm Robot
Jim Tørresen
Professor, UiO
Session Chair: Ana Ozaki, Associate Professor, UiB
Track 2: Explainable AI & Time Series
Time
Abstract
Presenter
12:30-12:50
Explaining features extracted by deep unsupervised learning: Understanding medical time series data
Steffen Mæland
Research Engineer, Simula Research Laboratory
12:50-13:10
Explaining deep learning models for embryo selection in ART using heatmaps
Akriti Sharma
PhD Student, OsloMet
13:10-13:30
Representation Learning for Time Series
Erlend Aune
Professor, BI Norwegian Business School
Session Chair: Pål Grønås Drange, Associate Professor, UiB
Track 3: Deep Learning and NLP
Time
Abstract
Presenter
10:30-10:50
News Angler – finding entities for a LOCAL news angle
Bjørnar Tessem
Professor, UiB
10:50-11:10
Artificial Intelligence is Social and Embodied: Caring AIs in Contemporary Science Fiction Novels
Jill Walker Rettberg
Professor, UiB
11:10-11:30
A deep semi-supervised learning method based on transductive label propagation for sea/ice classification
Salman Khaleghian
PhD Student, UiT
Session Chair: Nello Blaser, Associate Professor, UiB
Track 4: Graphic Design and Miscellaneous
Time
Abstract
Presenter
12:30-12:50
Rigorous Mimesis in Machine Learning Design
Malthe Stavning Erslev
PhD Student, UiB
12:50-12:10
Detecting supersymmetric particles in small-signal scenarios
Inga Strumke
Postdoctoral Researcher, NTNU
13:10-13:30
DagSim: A framework and specification language for simulating data based on graphical models
Ghadi Al Hajj
PhD Researcher, UiO
13:30-13:50
On the exploitation of heterophily in graph-based multimodal remote sensing data analysis
Catherine Taelman
Master Internship, UiT
Session Chair: Klaus Johansen, Chief Scientist, NORCE
Vote for the Best Poster and Best Oral Presentation!
Only young researchers can receive the award. We will announce the winners at 14:40. We of course encourage you all to pay close attention during the tracks, and take the opportunity to study the posters and engage with the authors.
Once you are ready, please vote using the link below. You can nominate one candidate for best poster and one candidate for best oral presentation.
We will close the voting at 14:00 on the 18th, so please take the opportunity to award scholarly effort!
Click here to vote
The conference is supported by The Research Council of Norway