NORA Annual Conference 2022 Program & Tracks

08:00-09:00

Registration & Coffee 

09:00-09:15

Welcome by Klas Pettersen

09:15-10:15

Keynote by Ulrich Paquet

"AlphaZero: A Retrospective and Future Story"

10:15-10:30

Coffee Break 

10:30-11:30

Track 1 - Medical Applications & Image Processing

11:30-12:30

Lunch

12:30-13:30

Track 2 - Time Series & Planning

13:30-13:45

Coffee Break

13:45-14:45

"On concepts in deep neural networks"

Moderated by Klas Pettersen, CEO, NORA

- Ulrich Paquet, Research Scientist, DeepMind

- Morten Goodwin, Professor and Director of CAIR, UiA

- Inga Strumke, Researcher, NTNU, Norwegian Open AI Lab

14:45-15:45

Poster Session

15:45-16:45

Keynote by Evandro Fei Fang

"The NAD+-mitophagy axis in ageing and Alzheimer’s disease and AI-based drug development"

16:45-17:00

NORA & Upcoming Projects 

17:00

End of Conference

19:00

Conference Dinner

08:30-09:00

Registration & Coffee 

09:00-10:00

Keynote by Uli Sattler

"Background Knowledge, graphs, and ontologies: potential and challenges for using knowledge in machine learning"

10:00-10:15

Coffee Break 

10:15-11:15

Track 3 - Cyber Security and Anomaly Detection

11:15-12:15

Lunch

12:15-13:15

Track 4 - Miscellaneous

13:15-13:30

Coffee Break

13:30-14:30

"Ethics and (cyber) security in AI" 

Moderated by Tom Ryen, Professor, UiS

- Ana Ozaki, Associate Professor, UiB

- Per-Arne Andersen, Assistant Professor, UiA

- Ferhat Ozgur Catak, Associate Professor, UiS

- Serge Belongie, Professor at DIKU and Director of the Pioneer Centre for AI

14:30-15:00

Conference Closing 

10:30-10:45

Detection of Histopathological Artifacts in Whole Slide Images

Neel Kanwal, PhD Fellow, UiS

10:45-11:00

Towards Automatic Staging of Non-Muscle Invasive Bladder Cancer

Saul Fuster, PhD Fellow, UiS

11:00-11:15

Zero-Shot Learning – A Survey on Models and Applications

Fadi Al Machot, 

Associate Professor, NMBU

11:15-11:30

Improving accuracy of machine learning models for diagnosing irritable bowel syndrome through integration of domain knowledge in data preparation phase

Noman Haleem, 

Haukeland University Hospital

12:30-12:45

Farm-Scale Crop Yield Prediction from Multi-Temporal Data using Deep Hybrid Neural Networks

Morten Goodwin, Professor, UiA

12:45-13:00

Soccer Athlete Performance Prediction using Time Series Analysis

Nourhan Ragab, OsloMet

13:00-13:15

Helping electricity producers with short term planning

Signe Riemer-Sørensen, Research Scientist,, SINTEF

13:15-13:30

NORA.startup Presentation: AIVEO - Empowering the elderly to enjoy their lives

10:15-10:30

Enhancing the Dependability of Cyber-physical Systems with AI-enabled Digital Twin

Qinghua Xu, PhD Fellow, Simula

10:30-10:45

Adversarial Attacks Mitigations for AI-based beamforming and channel estimation for the next-generation wireless communication systems

Ferhat Ozgur Catak, Associate Professor, UiS

10:45-11:00

AI-based malware and attack detection for IoT security

Guru Bhandari, Software Engineer, Kristiania University College

11:00-11:15

NORA.startup Presentation: NablaFlow

12:15-12:30

Classification of deforestation alerts

Tord Kriznik Sørensen, Scientific Software Engineer, Science & Technology

12:30-12:45

Mapping galactic gas temperatures

Magnus Sikora Ingstad, SINTEF

12:45-13:00

Comparing explanations from DNN-generated wine score predictions with expert opinions

Patrik Hammersborg, Master Student NTNU

Andreas von Brandis, Master Student, NTNU

13:00-13:15

NORA.startup presentation: Automated Fact-Checking at Factiverse