2020

Project #2: Big data in GUI lists Download Big data in GUI lists

  • Company/Inst.: Schlumberger Information Solutions, Oslo, Norway (SIS)
  • Supervisor: Jørn Letnes (jletnes@slb.com)
  • Team: Sotirios Chatzigeorgiou (Sotirios.Chatzigeorgiou.4815@student.uu.se), Shuyi Qin (Shuyi.Qin.0672@student.uu.se)
  • Report Download Report
  • Poster Download Poster   (Video)

Project #3: Finding new two dimensional magnets by evolutionary structure search algorithms and ab initio theory Download  Finding new two dimensional magnets by evolutionary structure search algorithms and ab initio theory

Project #4: Deep learning with added landmarks for improved object segmentation Download Deep learning with added landmarks for improved object segmentation

Project #5: (Un)certain asset price direction prediction using Bayesian Neural Networks Download (Un)certain asset price direction prediction using Bayesian Neural Networks

Project #6: Can we compute the eigenvalues without the matrix? Download Can we compute the eigenvalues without the matrix?

Project #7: Efficient detection of data quality flaws in social interactions of dairy cows Download Efficient detection of data quality flaws in social interactions of dairy cows

Project #8: Dairy Farmers Dashboard Download Dairy Farmers Dashboard

  • Company/Inst.:SLU
  • Supervisor: Tomas Klingström (tomas.klingstrom@slu.se)
  • Team: Axel Jonnarth (Axel.Jonnarth.9745@student.uu.se), Björn Seifert (Bjorn.Seifert.4328@student.uu.se), Muhammad Ishfaq (Muhammad.Ishfaq.4406@student.uu.se), Yuting Wang (Yuting.Wang.6160@student.uu.se)
  • Report Download Report
  • Poster  Download Poster   (Video)

Project #9: Evaluating locally measured weather and weathers services Download Evaluating locally measured weather and weathers services

  • Company/Inst.:SLU
  • Supervisor: Tomas Klingström (tomas.klingstrom@slu.se)
  • Team: Rebecka Homman (Rebecka.Homman.9241@student.uu.se), Karolina Hedberg (Karolina.Hedberg.1354@student.uu.se), Johan Rideg (johan.rideg@gmail.com)
  • Report Download Report
  • Poster Download Poster   (Video)

Project #10: Computational techniques for two-phase flow Download Computational techniques for two-phase flow

Project #11: Time-step analysis of methods for the advection equation Download Time-step analysis of methods for the advection equation

Project #12: Stochastic blockmodeling methods for bipartite graphs Download Stochastic blockmodeling methods for bipartite graphs

Project #13: Multigraph clustering via graph embedding Download Multigraph clustering via graph embedding

Project #15: Enhancing Blockchain Based Federated Learning Download Enhancing Blockchain Based Federated Learning

Project #16: Mapping IR absorbance in wheat seeds to crucial properties using machine learning Download Mapping IR absorbance in wheat seeds to crucial properties using machine learning

Project #18: Machine learning for outcome prediction from magnetic resonance imaging in colorectal cancer Download Machine learning for outcome prediction from magnetic resonance imaging in colorectal cancer

Project #20: Computational modeling of avascular tumors: towards multiscale hybrid models Download Computational modeling of avascular tumors: towards multiscale hybrid models