Onderzoeker
Azarakhsh Jalalvand
- Disciplines:Natuurlijke taalverwerking, Machine learning en besluitvorming, Datamining
Affiliaties
- Vakgroep Toegepaste Fysica (Departement)
Lid
Vanaf1 feb 2023 → Heden - Vakgroep Elektronica en Informatiesystemen (Departement)
Lid
Vanaf14 aug 2009 → 31 dec 2022
Projecten
1 - 1 of 1
- Bescherming van toekomstige fusie-energiecentrales – Ontwikkeling van efficiënte en real-time plasmadisruptievoorspellers voor ITER door combinatie van geavanceerde data-gedreven modellen met fysische inzichtenVanaf1 jan 2020 → 31 dec 2022Financiering: BOF - postdoctorale mandaten
Publicaties
1 - 10 van 43
- Cluster-based input weight initialization for echo state networks(2023)
Auteurs: Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
Pagina's: 7648 - 7659 - Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process(2023)
Auteurs: Davi Alberto Sala, Andy Van Yperen-De Deyne, Erik Mannens, Azarakhsh Jalalvand
Pagina's: 15163 - 15173 - Hybrid-input FCN-CNN-SE for industrial applications : classification of longitudinal cracks during continuous casting(2023)
Auteurs: Davi Alberto Sala, Andy Van Yperen-De Deyne, Erik Mannens, Azarakhsh Jalalvand
- Real-time and adaptive reservoir computing with application to profile prediction in fusion plasma(2022)
Auteurs: Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, Egemen Kolemen
Pagina's: 2630 - 2641 - PyRCN : a toolbox for exploration and application of Reservoir Computing Networks(2022)
Auteurs: Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz
- Exploring data-driven models for spatiotemporally local classification of Alfven eigenmodes(2022)
Auteurs: Alan A. Kaptanoglu, Azarakhsh Jalalvand, Alvin Garcia, Max E. Austin, Geert Verdoolaege, Jeff Schneider, Christopher J. Hansen, Steven L. Brunton, William W. Heidbrink, Egemen Kolemen
- Alfven eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks(2022)
Auteurs: Azarakhsh Jalalvand, Alan A. Kaptanoglu, Alvin, V Garcia, Andrew O. Nelson, Joseph Abbate, Max E. Austin, Steven L. Brunton, William W. Heidbrink, Egemen Kolemen
- DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy(2022)
Auteurs: M. E. Fenstermacher, J. Abbate, S. Abe, T. Abrams, M. Adams, B. Adamson, N. Aiba, T. Akiyama, P. Aleynikov, E. Allen, et al.
- Feature engineering and stacked echo state networks for musical onset detection(2021)
Auteurs: P. Steiner, Azarakhsh Jalalvand, S. Stone, P. Birkholz
Pagina's: 9537 - 9544 - Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems(2021)
Auteurs: Utku Özbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve