Kristoffer Meyer Tangrand disputerer for ph.d.-graden i ingeniørvitenskap og vil offentlig forsvare avhandlingen / Kristoffer Meyer Tangrand will defend his thesis for the PhD degree in Engineering Science: “Some new Contributions to Neural Networks and Wavelets with Applications”.
Kristoffer Meyer Tangrand disputerer for ph.d.-graden i ingeniørvitenskap og vil offentlig forsvare avhandlingen / Kristoffer Meyer Tangrand will defend his thesis for the PhD degree in Engineering Science:
“Some new Contributions to Neural Networks and Wavelets with Applications”
Avhandlingen er tilgjengelig her / The doctoral thesis is available here.
Auditoriet er åpent for publikum. Disputasen vil også bli strømmet. Opptak av disputasen vil være tilgjengelig i en måned.
The auditorium is open to the public. The defense will be streamed. A recording of the defense will be available for one month.
Prøveforelesningen starter kl. 10:15 / The trial lecture starts at 10:15. Tittel / title:
“Applicability of AI techniques in science and engineering”
Prøveforelesning strømmes her / The trial lecture will be streamed here.
Disputasen starter kl. 12:15 / The defense starts at 12:15.
Disputas strømmes her / The defense will be streamed here.
Sammendrag av avhandlingen / Summary of the thesis:
A new Ph.D. thesis from UiT explores the connections between neural networks, wavelets, and modern Fourier analysis and how they can be applied to various problems in engineering sciences and applied mathematics. The thesis consists of six papers, which address topics ranging from the systematic use of energy flexibility in weak power grids to predicting room usage at a university campus to new inequalities and sharpness results concerning the Walsh-Fourier series.
The investigations in the papers have led to new insights and potential solutions to problems in areas such as structural health monitoring and machine learning. The use of recurrent neural networks and wavelet-based neural networks has been shown to be effective in generating realistic values and accelerating the rate of convergence of approximation processes.
The findings of the thesis demonstrate the potential for further research and development in these areas and the usefulness of combining these fields for solving complex problems in engineering and applied mathematics.
Veiledere / Supervisors (all from UiT - The Arctic University of Norway, Department of Computer Science and Computational Engineering)
Hovedveileder / Main supervisor:
Medveiledere / Co-supervisors:
Bedømmelseskomité / Evaluation committee:
Prøveforelesning og disputas ledes av prodekan for forskning, Svein-Erik Sveen / The trial lecture and defense are led by Vice Dean of research, Svein-Erik Sveen.
De som ønsker å opponere ex auditorio kan sende e-post til Svein-Erik Sveen / Opponents ex auditorio should contact Svein-Erik Sveen.