NORA annual conference 2020

NORA is organizing it's first annual conference which will be held on Tuesday, April 21st 2020.

Registration will start at 0830. Duration of the program will be from 0930 to 1800, and there will be informal dinner afterwards.

See information about confirmed key note speakers and other speakers below. More detailed program will be published soon.

The conference is only open for participants from NORA partners. There are limited number of seats available. Register by following the link below:

Registration for NORA Annual Conference 2020

This is an event you can't miss if you are interested in Artificial Intelligence, machine learning and robotics!


Keynote Speakers at NORA's annual conference:

Arnoldo Frigessi

Frigessi is Professor in Statistics, at the Department of Biostatistics, University of Oslo. From 2007 he is also director of the Norwegian centre for research-based innovation “Statistics for Innovation”. 

Frigessi develop innovative stochastic models that try to carefully represent fundamental principles, basic dynamics, intricate patterns of dependence and mechanisms of the system to be understood or predicted. In this way, models can answer specific questions, qualitative or quantitative in nature, and posses more power. Inference is usually based on computationally intensive stochastic algorithms, like MCMC. 

Jill Walker Rettberg

Rettberg is Professor of digital culture at the University of Bergen and Principal Investigator of the ERC project MACHINE VISION: Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media. She also leads the Digital Humanities Network at the University of Bergen. Her earlier research is on storytelling and self-representation in social media, building upon a foundation of digital art, electronic literature and digital humanities. She has also made use of digital methods to visualise network relationships in electronic literature and the digital humanities. Rettberg leads the Digital Culture Research Group and the Digital Humanities Network at the University of Bergen.

Robert Jenssen

Jenssen is Professor and Head of Machine Learning Group, Department of Physics and Technology, University of Tromsø. In 2018, he got the Best Paper Award for the paper “Using anchors from free text in electronic health records to diagnose postoperative delirium” in International Medical Informatics Association. 

Some of his recent projects are: From 2016 - 2019 - Industry PhD Project/Machine Learning in Credit Risk Analysis and Industry PhD Project/GridScan: Image and Sensor Data Analysis for RPAS-based Smart Electricity Grid Inspections.

Other speakers:

  • Rodica G. Mihai

Mihai is a senior researcher in the Drilling and Well Modelling research group in NORCE Energy. She has been working in projects related to drilling automation both as a researcher and in project management. One of these is DrillTronics™, which is an advanced drilling assistance tool and is now commercialized by Sekal AS. Other examples are project on automated fluid processing, different case studies for industry, projects related to human factors in automated drilling and projects related to testing and verification of new technology within drilling automation and digitalization.

  • Professor Ole-Christoffer Granmo

Granmo is Director of the Centre for Artificial Intelligence Research (CAIR). His passion for artificial intelligence was lit at the age of ten when he got his first computer and discovered programming. Fascinated by the idea of superintelligence, he obtained his master's degree in informatics in 1999 and the PhD degree in 2004, both from the University of Oslo, Norway. Granmo develops theory and algorithms for systems that explore, experiment and learn in complex real-world environments. Drawing inspiration from the paradigms of deep reinforcement learning and probabilistic causal reasoning, he seeks to surpass human capability in flexible pattern recognition, model building and reasoning. Within his field of research, Granmo has written more than 115 refereed journal and conference publications.

Preliminarily program:

08:30 – 09:30 Registration, coffee, tea, snacks​/fruit

09:30 – 10:50 Session 1

10:50 – 11:05 Break; coffee, tea, snacks/fruit 

11:05 - 12:35 Session 2

12:35 – 13:35 Lunch 

13:35 – 15:05 Session 3

15:05 – 15:20 Break; coffee, tea, snacks​/fruit

15:20 – 16:40 Session 4

16:40 – 16:55 Break; coffee, tea, snacks​/fruit

16:55 – 18:00 Session 5

18:00 – 20:00 Tapas (informal)

Tags: NORA, Annual Conference, AI, Machine Learning, Robotics
Published Jan. 18, 2020 2:52 PM - Last modified Feb. 28, 2020 11:00 AM