2019

Project #1: Statistical methods and machine learning in football Download Statistical methods and machine learning in football

Project #2: Data-driven modeling of avascular tumors  Download Data-driven modeling of avascular tumors 

  • Company/Inst.: Department of Information Technology, Uppsala University (IT-UU Links to an external site.)
  • Supervisor: Stefan Engblom (stefan.engblom@it.uu.se) and Robin Eriksson (robin.eriksson@it.uu.se)
  • Team: Fredrik Gustafsson (Fredrik.Gustafsson.8585@student.uu.se), Fredrik Jonahsson (Fredrik.Jonasson.3188@student.uu.se), Oscar Larsson (Oscar.Larsson.4858@student.uu.se)
  • Report Download Report
  • Poster Download Poster

Project #4:Supervised machine learning in privacy-preserving decentralized environments Download Supervised machine learning in privacy-preserving decentralized environments

Project #6:Summation-By-Parts in time Download Summation-By-Parts in time

Project #7:Assessment of Julia vs. Python for a cell mechanics application Download Assessment of Julia vs. Python for a cell mechanics application

Project #8:Road detection and characterization from LIDAR data Download Road detection and characterization from LIDAR data

Project #10:Research the use of Finite Difference Neural Net simulation concept for Geological Process Modeling Download Research the use of Finite Difference Neural Net simulation concept for Geological Process Modeling

  • Company/Inst.: Schlumberger Information Solutions, Oslo, Norway (SIS)
  • Supervisor: Jan Tveiten <jtveiten@slb.com> and Per Salomonsen <salomonsen1@slb.com>
  • Team 10a: Simon Huss (Simon.Huss.6442@student.uu.se), Eystein Waade (eystein@waade.net), William Sjösten (William.Sjosten.0563@student.uu.se)
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  • Poster Download Poster
  • Team 10b: Sireesh Haang Limbu (Sireeshhaang.Limbu.9160@student.uu.se), Nima Ghoroubi (Nima.Ghoroubi.9499@student.uu.se)
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  • Poster Download Poster

Project #14:Development and deployment of a deep learning model for segmentation of liver scans Download Development and deployment of a deep learning model for segmentation of liver scans

  • Company/Inst.: ([|Antaros])
  • Supervisor: Camila Englund (camilla.englund@antarosmedical.com) and Carl Sjöberg (carl.sjoberg@antarosmedical.com)
  • Team: Lowe Lundin (Lowe.Lundin.2631@student.uu.se), Dag Lindgren (Dag.Lindgren.0288@student.uu.se), Andreas Wallin (Andreas.Wallin.7620@student.uu.se)
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Project #15: Estimating Certainty of Deep Learning - implementation and performance analysis Download  Estimating Certainty of Deep Learning - implementation and performance analysis

Project #16: Rotation equivariant CNNs-implementation and performance analysis of different approaches Download Rotation equivariant CNNs-implementation and performance analysis of different approaches

Project #19:Real-time forecasting of bus arrivals using GPS-data Download Real-time forecasting of bus arrivals using GPS-data

Project #20:Data driven model for truck driver behavior Download Data driven model for truck driver behavior

  • Company/Inst.: (Skogforsk)
  • Supervisor: Daniel Noreland (daniel.noreland@skogforsk.se), Gunnar Svenson <Gunnar.Svenson@skogforsk.se>
  • Team: Tobias Hammarström (Tobias.Hammarstrom.0599@student.uu.se), Chenglong Li (Chenglong.Li.7464@student.uu.se), Zhenyu Tang (zhenyuzhitang@gmail.com)
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Project #21:Using concurrency programming to implement scalable community detection algorithms Download Using concurrency programming to implement scalable community detection algorithms

Project #24:Automated diagnosis of neurogenerative disease from PET images of the brain Download Automated diagnosis of neurogenerative disease from PET images of the brain

  • Company/Inst.: Department of Information Technology, Uppsala University (IT-UU Links to an external site.), Department of Surgical Sciences (Radiology)
  • Supervisors: Filip Malmberg (filip.malmberg@it.uu.se), Torsten Danfors (torsten.danfors@radiol.uu.se), Mark Lubberink (mark.lubberink@radiol.uu.se)
  • Team: Andreas Lycksam (lycksam95@gmail.com), Nils Erlanson (nils.erlanson@gmail.com), Martin Edin (Martin.Edin.0673@student.uu.se)
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