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Ongoing Projects

 

  • Bluetooth low energy Luminaire  
    Student: Måns Hofvander
    Advisor:  Karl-Erik Årzén, Mattias Wallinius
    Examiner: Martina Maggio
    Starting Date: Spring 2022
  • Anomaly detection using Machine Learning  
    Student: David Nilsson, Albin Olsson
    Advisor:  Johan Eker
    Examiner: Karl-Erik Årzén
    Starting Date: Spring 2022
  • Implementation and integration of slip and traction controllers for a three-wheel electric vehicle  
    Student: Blanca Zumarraga Arjonilla
    Advisor:  Björn Olofsson,  Anders Robertsson, Ola Svensson
    Examiner: Tore Hägglund
    Starting Date: Spring 2022
  • Assess the benefits of Reinforcement learning to optimize the pricing strategy for consumer loans in digital platforms  
    Student: Joachim Nilsson
    Advisor: Giacomo Como
    Examiner: Pontus Giselsson
    Starting Date: Spring 2022
  • Docking and Path Planning for Unmanned Boats  
    Student: Sofia Kockum
    Advisor: Anders Robertsson, Björn Olofsson, Birgitta Wingqvist
    Examiner: Karl-Erik Årzén
    Starting Date: Spring 2022
  • Spatio-temporal Risk Allocation for Path Planning  
    Student: Kajsa Ekenberg
    Advisor: Venkatraman Renganathan
    Examiner: Anders Robertsson
    Starting Date: Spring 2022
  • Automatic vitual tracking in a multi-participant senario for a mobil device  
    Student: Elin Freberg, Emelie Skoog
    Advisor: Richard Pates
    Examiner: Anton Cervin
    Starting Date: Spring 2022
  • Physical Simulation and Control of Revolving Door Systems 
    Student: Eric Schyllert, Samuel Gunnarsson
    Advisor: Anton Cervin
    Examiner: Karl-Erik Årzén
    Starting Date: Spring 2022
  • Adaptive server control for low-latency applications over the cellular network 
    Student: Johan Siwerson, Samuel Gunnarsson
    Advisor: Johan Eker
    Examiner: Karl-Erik Årzén
    Starting Date: Spring 2022
  • Path planning algorithm for levitating planar motion system 
    Student: Johan Ternerot, Henry Nilsson
    Advisor: Anders Robertsson
    Examiner: Anders Rantzer
    Starting Date: Spring 2022
  • Public Transport Passenger Experience Estimation using Deep Learning 
    Student: Andreas Timürtas, Felicia Segui
    Advisor: Johan Eker, Hans Ekström, Sara Olsson
    Examiner: Anton Cervin
    Starting Date: Spring 2022
  • Data driven modelling of electrical load patterns for control of virtual batteries 
    Student: Fredrik Sidh, Gustaf Sundell
    Advisor: Richard Pates
    Examiner: Anders Rantzer
    Starting Date: Spring 2022
  • Edge case generation from autonomous vehicles 
    Student: Oscar Sundbom, Måns Sandsjö
    Advisor: Anton Cervin
    Examiner: Anders Robertsson
    Starting Date: Spring 2022
  • Probing gray matter microstructure in aging by diffusion MRI 
    Student: Teresa Scheidt
    Advisor: Markus Nilsson, Nicola Spotorno
    Examiner: Kristian Soltesz
    Starting Date: Spring 2022
  • High Precision Robotic Manipulator for Blue-Lining at MAXIV
    Student: Vinay Venkanagoud Patil
    Advisor: Anders Robertsson, Gunnar Lindstedt, Alina Andersson
    Examiner: Tore Hägglund
    Starting Date: Spring 2022
  • Study of 3D Privacy Masking using Unsupervised Monocular Depth Estimation
    Student: Mattias Lundström, Jakob Pettersson
    Advisor: Anders Robertsson, Björn Olofsson
    Examiner: Karl-Erik Årzén
    Starting Date: Spring 2022
  • Optimal signal processing of brain signals used for automatic control of a hearing device
    Student: Julia Adlercreutz
    Advisor: Bo Bernhardsson
    Examiner: Maria Sandsten
    Starting Date: Spring 2022
  • Physics-enhanced machine learning of energy systems
    Student: Emil Sundström, Henrik Lindström
    Advisor: Anders Rantzer
    Examiner: Bo Bernhardsson
    Starting Date: Spring 2022
  • Chiller diagnostics
    Student: Vilius Koegst, Tatiana Orlova
    Advisor: Johan Grönqvist
    Examiner: Bo Bernhardsson
    Starting Date: Spring 2022
  • PTZ Camera Positioning Using IMUs
    Student: Ludvig Hansson, Måns Lindeberg
    Advisor: Anton Cervin
    Examiner: Kristian Soltesz
    Starting Date: Spring 2022
  • Robot Path Planning Via Deep Reinforcement Learning
    Student: Cem Alptürk
    Advisor: Venkatraman Renganathan
    Examiner: Anders Rantzer
    Starting Date: Spring 2022
  • Audiovisual processing in the wild
    Student: Viktor Andersson, Nelly Ostréus
    Advisor: Bo Bernhardsson, Emina Alickovic, Martin Skoglund, Johannes Zaar
    Examiner: Kristian Soltesz
    Starting Date: Spring 2022
  • Level control of flotation cells at Boliden AB
    Student: Frida Norlund
    Advisor: Tore Hägglund, Rasmus Tammia
    Examiner: Kristian Soltesz
    Starting Date: Spring 2022
  • Tensor decomposition of EEG signals
    Student: Emma Fallenius, Linda Karlsson
    Advisor: Bo Bernhardsson, Carolina Bergeling
    Examiner: Pontus Giselsson
    Starting Date: Spring 2022
  • Audiovisual processing in the wild by using video-based lip reading software
    Student: Sara Enander, Louise Karsten
    Advisor: Bo Bernhardsson
    Examiner: Kristian Soltesz
    Starting Date: Autumn 2021
  • Dynamic Scheduling of Shared Hardware Resource, Optimized for Deadlines and Low Latency Using ML/AI
    Student: Johan  Håkansson, Elin Wilson Andersson
    Advisor: Karl-Erik Årzén
    Examiner: Bo Bernhardsson
    Starting Date: Autumn 2021
  • Comparison between different observers for PMSM rotor temperature estimations based on flux-linkage modeling
    Student: Daniel Mårtensson
    Advisor: Björn Olofsson, Gabriel Turesson, Peter Jonsson
    Examiner: Anders Robertsson
    Starting Date: Autumn 2021
  • Cooperative Take-off/Landing and High-level Planning for Collaborative Robot System deploying UAV Drones and Spot Robot
  • Student: Hicham Mohamad
    Advisor: Anders Robertsson, Gregory Austin
    Examiner: Anton Cervin
    Starting Date: Summer 2021
  • Dynamic Capacity Networks In Embedded Systems
  • Student: George Ryrstedt
    Advisor: Johan Grönqvist
    Examiner: Karl-Erik Årzén
    Starting Date: July 2019
    Estimated Date of end: December 2019