Deep learning poster presentation

During the spring of 2021 a faculty common PhD course in deep learning has been given. All course participants have been invited to also do a project related to deep learning with an application within their field of research. 14 out of 50 enrolled students have taken this opportunity divided into 11 projects. These projects will be presented as an online poster event. Everybody who are interested taking part in the poster event are welcome to participate and enjoy the project pitches and poster session.

Place: Zoom: https://uu-se.zoom.us/j/66243972922 Links to an external site.

Time: September 29, 13:15 - 15:00 (poster presenters meet at 13:00)

Important: Make sure that you have a zoom client of at least version 5.3.0, otherwise you will not be able to move around freely in the breakout-rooms.

Schedule

13:00 - All poster presenters meet for some admin info and check that their microphones are working.

13:15 - 13:20 Welcome and logistics info

13:20 - 13:35 - All groups in Batch 1 (see below) pitch their posters during maximum 2 minutes per poster.

13:35-14:05 - Poster session for projects in Batch 1 (see below). The project members in Batch 1 attend one breakouroom each. Other attendances can move freely between poster rooms. Poster presenters share their posters in the breakoutroom using screen share. The posters can be also found in the table below.

Projects in Batch 1

Breakout room	Project member (s)	Affiliation	Project report	Poster (click on thumbnail image for larger view)
1	Magdalena Marković, George A. Donoso	Department of Earth Sciences, UU	Detection of Orebodies Using Deep-learning Methods Download Detection of Orebodies Using Deep-learning Methods
2	Miran Nadir	Department of Information Technology, UU	Identifying stamped metal plate parts of cars from the background Download Identifying stamped metal plate parts of cars from the background
3	Jakob Nyberg	Division of Network and Systems Engineering, KTH	Generative Tagging of Anime-styled Images Download Generative Tagging of Anime-styled Images
4	Philipp Pilar	Department of Information Technology, UU	Training generative models for the CAMELS project Download Training generative models for the CAMELS project
5	Yi Zhao, Zhanwei Yu	Department of Information Technology, UU	Communication Resource Allocation Based on Convolutional Neural Networks Download Communication Resource Allocation Based on Convolutional Neural Networks

14:10 - 14:25 - All groups in Batch 2 (see below) pitch their posters during maximum 2 minutes per poster.

14:25-14:55 - Poster session for projects in Batch 2. Other attendances can move freely between poster rooms.

Projects in Batch 2

Breakout room	Project member (s)	Affiliation	Project report	Poster (click on thumbnail image for larger view)
1	Maria Bånkestad	Department of Information Technology, UU	Carbohydrate NMR spectrum prediction using a graph neural network Download Carbohydrate NMR spectrum prediction using a graph neural network
2	Carl Jidling	Department of Information Technology, UU	Screening for Chagas disease Download Screening for Chagas disease
3	Florian Reiner	Department of Geosciences and Natural Resource Management, University of Copenhagen	Mapping continental African tree cover with deep learning Download Mapping continental African tree cover with deep learning
4	Fatemeh Johari	Department of Civil and Industrial Engineering, UU	Short-Term Solar Radiation Forecasting Using LSTM: Application in Advanced Predictive Control of Heat Pumps with PV Download Short-Term Solar Radiation Forecasting Using LSTM: Application in Advanced Predictive Control of Heat Pumps with PV
5	Henrik Asmuth and Henry Korb	Department of Earth Sciences, UU	WakeNet 0.1 - A Simple Three-dimensional Wind Turbine Wake Model Based on Convolutional Neural Networks Download WakeNet 0.1 - A Simple Three-dimensional Wind Turbine Wake Model Based on Convolutional Neural Networks
6	Gustav Robertsson	Department of Physics and Astronomy, UU	Neural Networks as a Surrogate for the SCIANTIX code Download Neural Networks as a Surrogate for the SCIANTIX code

14:57 Closing words