The workshop brings together researchers and professionals working on data assimilation, machine learning, and inverse problems.
Tuesday 23.9.
10:00–10:05 Welcome & Introduction
10:05–10:30 Talk 1: Emma Hannula “Partially stochastic deep learning for model predictive heating control”
10:30–10:55 Talk 2: Lisa Hickl “Automated Gating in FlowCytometry and Marker Analysis for rare Cell-Subpopulations”
10:55–11:20 Talk 3: David Crespo
11:20–11:45 Talk 4
11:45–12:10 Talk 5: Sumith Reddy
12:10–14:00 Lunch
14:00–14:25 Talk 6: Dimitri Dumnjuk “Graph Neural Networks for 31P-NMR Chemical Shift Prediction”
14:25–14:50 Talk 7
14:50–15:15 Talk 8: Laura Bazahica
15:15–15:40 Talk 9: Toni Karvonen
15:40–16:30 Open Discussion / Wrap-Up
Evening: Seminar Sauna & Dinner
18:00 Sauna evening and dinner
Wednesday 24.9.
Morning time: Informal meetings and discussion rounds
12:30–14:00 Lunch
14:00–14:25 Talk 10
14:25–14:50 Talk 11
14:50–15:15 Talk 12
15:15–15:40 Talk 13
15:40–17:00 Closing discussion
(Afternoon program tentative, speakers TBD)
Organizers
This event is organized by LUT University, and the event is part of the activities of the Flagship of Advanced Mathematics for Sensing, Imaging and Modelling (2024-2031), and the Centre of Excellence in Inverse Modelling and Imaging (2018-2025).
Local organising committee: Lassi Roininen, Jana de Wiljes, Emma Hannula
More information: emma.hannula@lut.fi
