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Kristian Muri Knausgård

Kristian Muri Knausgård

Assistant Professor

Department of Engineering Sciences >

 

+47 37 23 33 97

Kontor:
D3045 ( Jon Lilletuns vei 9, Grimstad )

Forskning

Embedded systems. Real time systems. Engineering cybernetics. AI/computer vision in unstructured environments. Systems engineering.

Undervisning

Now:

  • MAS245 - Embedded systems for mechatronics
  • MAS417 - Programming and software development
  • MAS418 - Programming for Intelligent Robotics and Industrial systems

Previously:

  • MAS218 - Electrical circuits and PLC programming
  • MAS234 - Embedded systems for mechatronics

Arbeidserfaring

See https://no.linkedin.com/in/kristian-muri-knausgård-7581813a

Faglige interesser

Embedded systems. Real time systems. Engineering cybernetics. AI/computer vision in unstructured environments. Systems engineering.

Vitenskapelige publikasjoner

  • Olsen, Ørjan Langøy; Sørdalen, Tonje Knutsen; Goodwin, Morten; Malde, Ketil; Knausgård, Kristian Muri; Halvorsen, Kim Aleksander Tallaksen (2023). A contrastive learning approach for individual re-identification in a wild fish population. Proceedings of the Northern Lights Deep Learning Workshop. 4doi:10.7557/18.6824.
  • Gupta, Aditya; Bringsdal, Even; Knausgård, Kristian Muri; Goodwin, Morten (2022). Accurate Wound and Lice Detection in Atlantic Salmon Fish Using a Convolutional Neural Network. Fishes. ISSN: 2410-3888. 7 (6). doi:10.3390/fishes7060345.
  • Gupta, Aditya; Bringsdal, Even; Salbuvik, Nicole; Knausgård, Kristian Muri; Goodwin, Morten (2022). An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022. ISBN: 978-3-031-08222-1. Springer Nature. Chapter. s 139 - 149.
  • Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (2022). An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. ISBN: 978-3-031-10524-1. Springer. chapter. s 367 - 379.
  • Knausgård, Kristian Muri; Skar, Siv; Sanfilippo, Filippo; Buldenko, Albert; Lindheim, Henning; Lunde, Jakob E.; Sukarevicius, Eligijus; Robbersmyr, Kjell Gunnar (2022). Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems. Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. ISBN: 978-3-031-10524-1. Springer. Chapter. s 107 - 118.
  • Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (2022). Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. Informatics. ISSN: 2227-9709. 9 (2). doi:10.3390/informatics9020033.
  • Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri (2022). Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. ISBN: 978-3-031-08223-8. Springer Nature. Chapter. s 461 - 474.
  • Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (2022). Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. ICES Journal of Marine Science. ISSN: 1054-3139. 79 (2). s 319 - 336. doi:10.1093/icesjms/fsab255.
  • Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Halvorsen, Kim Tallaksen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (2021). Temperate fish detection and classification: a deep learning based approach. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-020-02154-9.
  • Olsvik, Erlend; Trinh, Christian M.D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (2019). Biometric fish classification of temperate species using convolutional neural network with squeeze-and-excitation. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11606 LNAIs 89 - 101. doi:10.1007/978-3-030-22999-3_9.
  • Knausgård, Kristian Muri; Skar, Siv; Sanfilippo, Filippo; Buldenko, Albert; Lindheim, Henning; Lunde, Jakob; Sukarevicius, Eligijus; Robbersmyr, Kjell Gunnar (2021). Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems.

Ekspertområder

I sosiale medier

Sist endret: 9.12.2022 12:12