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Project #2

• Description: Big data in GUI lists
• Poster
• Video presentation
• Team: Sotirios Chatzigeorgiou, Shuyi Qin

Project #3:

• Description: Finding new two dimensional magnets by evolutionary structure search algorithms and ab initio theory
• Poster
• Video presentation
• Team: Leo Zdansky Cottle, Patric Beas Petersson

Project #4:

• Description: Deep learning with added landmarks for improved object segmentation
• Poster
• Video presentation
• Team: Nima Akbarian, Edvin Arvidsson, Henrik Sparr, Magnus Sahlin, Imane Momayiz

Project #5:

• Description: (Un)certain asset price direction prediction using Bayesian Neural Networks
• Poster
• Video presentation
• Team: Gustav Lind, Andreas Lindgren, Aliaksandra Kupreyeva

Project #6:

• Description: Can we compute the eigenvalues without the matrix?
• Poster
• Video presentation
• Team: David Meadon, Melker Claesson, John Danielsson

Project #7:

• Description: Efficient detection of data quality flaws in social interactions of dairy cows
• Poster a
• Video presentation
• Team 7a: Li Ju, Gustaf Andersson, Linus Kanestad
• Poster b
• Video presentation
• Team 7b: Torsten Malmgård, Björn Sparresäter

Project #8:

• Description: Dairy Farmers Dashboard
• Poster
• Video presentation
• Team: Axel Jonnarth, Björn Seifert, Muhammad Ishfaq, Yuting Wang

Project #9:

• Description: Evaluating locally measured weather and weathers services
• Poster
• Video presentation
• Team: Rebecka Homman, Karolina Hedberg, Johan Rideg

Project #10:

• Description: Computational techniques for two-phase flow
• Poster
• Video presentation
• Team: Charitini Stavropoulou, Erik Blom, Gunnar Dufwa

Project #11:

• Description: Time-step analysis of methods for the advection equation
• Poster
• Video presentation
• Team: Mohammed Mosa, Andrea Lindgren, Zackeus Zetterberg

Project #12:

• Description: Stochastic blockmodeling methods for bipartite graphs
• Poster
• Video presentation
• Team: Deepthi Hulithala Venkataramana, Naeim Rashidfarokhi

Project #13:

• Description: Multigraph clustering via graph embedding
• Poster
• Video presentation
• Team: Niclas Samuelsson, Daniel Strandberg, Yegor Piven

Project #15:

• Description: Enhancing Blockchain Based Federated Learning
• Poster
• Video presentation
• Team: Jacob Tiensuu, Maja Linderholm, Fredrik Örn, Jialun Song

Project #16:

• Description: Mapping IR absorbance in wheat seeds to crucial properties using machine learning
• Poster
• Video presentation
• Team: Ruiyun Wang, Ellen Lindgren, Oskar Lundberg, Johannes Bohlin

Project #18:

• Description: Machine learning for outcome prediction from magnetic resonance imaging in colorectal cancer
• Poster a
• Video presentation
• Team 18a: Maja Arvola, Emil Åberg
• Poster b
• Video presentation
• Team 18b: Dong Wang, Yu Zhu

Project #20:

• Description: Computational modeling of avascular tumors: towards multiscale hybrid models
• Poster
• Video presentation
• Team: Alice Graf Brolund, Rebecca Persson, Johannes Dufva, Mary Jayaweera