How do you utilize domain knowledge in combination with a data-driven approach?
Many complex, real world problems are best solved by combining theoretical knowledge and empirical data. This is however no trivial task. A new interdisciplinary field spearheaded by NTNU, Big Data Cybernetics, sets out to remedy this through new methods for extracting valuable models and information out of large streams of data. This is done by combining theory-driven mathematics, physical models and data-driven machine learning into new algorithms.
Program
16:30: Presentations
- Vision, Challenges and Philosophy, Harald Martens, Idletechs/NTNU
- PCA and PLSR Algorithms, Damiano Varagnolo, NTNU
- Hybrid Modeling as an enabler for Big Data Cybernetics, Adil Rasheed, NTNU
- Industrial Use Case, Oddbjørn Malmo, Kongsberg Maritime.
17:35: Questions and Answers / Panel Discussion
18:00: Break
18:10: Networking: Group Discussion and Plenary Summary (Ending at 19:00)
We will serve baguettes/sandwiches/wraps from 16:00 (4PM).
Some presentations will be held in Norwegian, some in English. The event is open and free for everyone, so feel free to invite a colleague, but please sign up individually. Space is limited. If you’d like to suggest topics or cases to discuss in the Networking part, please let us know by filling out the “Additional information” when registering.
Streaming
Follow link to watch the first part live online 16:30–18:00
You don’t need to sign up to watch the streaming.
The event is organized by Tekna Big Data and Tekna Trondheim avdeling. If you are a Tekna member, you may join Tekna Big Data and our other professional networks for free.
