Supervision - PhD students

Current

Martin is currently serving as co-supervisor for the following PhD students:

• Wilroth, Johanna. (2021-) Brain-Based Monitoring of Sound Performed at Division of Automatic Control , at Linköping University, Linköping, Sweden.
  

• Keding, Oskar. (2021-) Brain-Based Monitoring of Sound Performed at Division of Mathematicl Statistics, at Lund University, Lund, Sweden.
  

Supervision - Master's students

Current

Martin is currently serving as supervisor/co-supervisor for the following Master's theses:

• Doroszewski, Tobias. (2022) Modeling brain tracking of speech using deep neural networks Performed at Eriksholm Research Centre, at University of Stuttgart, Stuttgart, Germany.
  

Finished

During his time at the Division of Automatic Control Martin Skoglund has been examiner for the following Mater's theses:

• Hermansson, Oscar. (2022) A Deep Learning Approach to Brain Tracking of Sound Performed at Eriksholm Research Centre, at Linköping University, Linköping, Sweden.
  

During his time at the Division of Automatic Control Martin Skoglund has supervised/co-supervised the following Master's theses:

• Szubert, Kamil. (2022) Learning audiovisual scenes with eyetracking glasses: Open software tools for eyetrackng research and beyond Performed for Oticon A/S, at DTU, Copenhagen, Denmark.
  

• Adlercreutz, Julia. (2022) Brainstem response estimation using continuous sound: A feasibility study Performed for Eriksholm Research Centre, at Lund Univestity, Lund, Sweden.
  

• Andersson, Viktor and Ostréus, Nelly. (2022) Speech activity detection in videos Performed for Eriksholm Research Centre, at Lund University, Lund, Sweden.
  

• Enander, Sara, and Louise, Karsten. (2022) Computation models for audiovisual attention decoding Performed for Eriksholm Research Centre, at Lund University, Lund, Sweden.
  

• Balzi, Giovanni. (2021) Activity Tracking Using Ear-level Accelerometers Through Machine Learning Performed for Oticon A/S, at DTU, Copenhagen, Denmark.
  

• Lindegaard Jensen, Emil. (2021) Head Motion Estimation Using Ear-worn Binaural Accelerometers Performed for Oticon A/S, at DTU, Copenhagen, Denmark.
  

• Vidal, Carlos. (2020) Implementation of a microphone array for he detection of the Direction of Arrival of gunshots Performed at Division at Automatic Control, in Linköping, Sweden.
  

• Wallin, Joakim, and Fredriksson, Alfred. (2018) Real-Time Multiple Audio Beamforming System Performed for Eriksholm Research Centre, Helsingör, Denmark.
  

• Lindqvist, Johan and Sollenberg, Martin. (2020) Mapping an Auditory Scene Using Eye Tracking Glasses Performed for Eriksholm Research Centre, Helsingör, Denmark.
  

• Petersen, Torkil Sölvi. (2018) Restaurant Problem Solver: Estimation of Listener's gaze and Talker's Position Performed for Widex (Now WS Audiology), Copenhagen, Denmark.
  

• Olsson, Mattias. (2018) Aiding Navigation for Groups of Aircraft with Bearing and Distance Measurements Performed at Saab Aerosystems, Linköping, Sweden.
  

• Nilsson, Martin. (2014) Indoor positioning using radio RSS measurements integrated in a multi-sensor system. Performed at FOI , Linköping, Sweden.
  • The thesis was awarded Best Master's Thesis by the Swedish Radio Navigation Board (Swedish: Svenska Radionavigeringsnämnden) in 2015.
  • The thesis was nominated for Best Master's thesis 2014 by Dataföreningen östra kretsen.

• Carlsson, Jesper. (2014) Enhancement of Positioning and Attitude Estimation Using Raw GPS Data in an Extended Kalman Filter. Performed at Saab Bofors Dynamics, Linköping, Sweden.
  

• Andersson, Tobias and Lorentzon, Mattis. (2012) Road Surface Modeling using Stereo Vision. Performed at Autoliv Electronics, Linköping, Sweden.
  

• Thorstenson, Stefan. (2012) IMU-based enhancement of GPS attitude determination. Performed at Saab Bofors Dynamics, Linköping, Sweden.
  

• Barac, Daniel. (2011) Localization algorithms for indoor UAVs. Performed at Automatic Control, Linköping, Sweden.
  

• Axelsson, Olle. (2011) Controlling an autonomous underwater vehicle through tunnels with a behavior-based control strategy. Performed at Saab Underwater Systems, Motala, Sweden.
  

• Jönsson, Kenny. (2010) Position Estimation of Remotely Operated Underwater Vehicle. Performed at Saab Underwater Systems, Motala, Sweden.
  

• Bodesund, Fredrik. (2010) Pose estimation of a VTOL UAV using IMU, Camera and GPS. Performed at Cybaero, Linköping, Sweden.
  

• Larsson, Olof. (2010) Visual-inertial tracking using Optical Flow measurements. Performed at DFKI, Kaiserslautern, Germany.
  

• Askling, Joel. (2010) Vision and GPS based autonomous landing of an unmanned aerial vehicle. Performed at Cybaero, Linköping, Sweden.
  

• Lundell, David. (2009) Detection of hydrogen gas leaks with the CUSUM algorithm. Performed at Sensistor, Linköping, Sweden.
  

• Lundström, Thomas. (2008) Matched Field Beamforming applied to Sonar Data. Performed at FOI, Kista, Sweden.