2022 Rym Jaroudi, Lukáš Malý, Gabriel Eilertsen, Tomas Johansson, Jonas Unger, George Baravdish (2022) Standalone Neural ODEs with Sensitivity Analysis George Baravdish, Gabriel Eilertsen, Rym Jaroudi, Tomas Johansson, Lukáš Malý, Jonas Unger (2022) Learning via nonlinear conjugate gradients and depth-varying neural ODEs 2020 George Baravdish, Yuanji Cheng, Olof Svensson, Freddie Åström (2020) Generalizations of p-Laplace operator for image enhancement: Part 2 Communications on Pure and Applied Analysis, Vol. 19, p. 3477-3500 Continue to DOI Scott Fowler, Gabriel Baravdish, George Baravdish (2020) 3D Imaging of Sparse Wireless Signal Reconstructions via Machine Learning ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) Continue to DOI Rym Jaroudi, Freddie Astroem, Tomas Johansson, George Baravdish (2020) Numerical simulations in 3-dimensions of reaction-diffusion models for brain tumour growth International Journal of Computer Mathematics, Vol. 97, p. 1151-1169 Continue to DOI
Rym Jaroudi, Lukáš Malý, Gabriel Eilertsen, Tomas Johansson, Jonas Unger, George Baravdish (2022) Standalone Neural ODEs with Sensitivity Analysis
George Baravdish, Gabriel Eilertsen, Rym Jaroudi, Tomas Johansson, Lukáš Malý, Jonas Unger (2022) Learning via nonlinear conjugate gradients and depth-varying neural ODEs
George Baravdish, Yuanji Cheng, Olof Svensson, Freddie Åström (2020) Generalizations of p-Laplace operator for image enhancement: Part 2 Communications on Pure and Applied Analysis, Vol. 19, p. 3477-3500 Continue to DOI
Scott Fowler, Gabriel Baravdish, George Baravdish (2020) 3D Imaging of Sparse Wireless Signal Reconstructions via Machine Learning ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) Continue to DOI
Rym Jaroudi, Freddie Astroem, Tomas Johansson, George Baravdish (2020) Numerical simulations in 3-dimensions of reaction-diffusion models for brain tumour growth International Journal of Computer Mathematics, Vol. 97, p. 1151-1169 Continue to DOI
Department of Science and Technology (ITN) We research and teaches in several technical/scientific disciplines in which our main areas are organic electronics, media, communications and logistics.
Physics, Electronics and Mathematics We conduct research and research education in communication electronics, mathematics, engineering didactics, physical electronics and nanotechnology.