Scholar
Thomas Geert de Jong
Google Scholar ID: YAxAELEAAAAJ
Kanazawa University
Citations & Impact
Citations
49
H-index
5
i10-index
1
Publications
18
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Organizer of the Kanazawa Analysis Seminar (KAS) and Differential Equations for Data Science seminar (DEDS). Current projects include: harnessing omnipresent oscillator networks as computational resources, biomath (replicating oscillators), pedestrian flow and swarms, biomath (surface-bulk PDEs), liquid reservoir computing, long-term memory of reservoir computing, SINDy for noisy data, and more.
Research Experience
- Postdoctoral researcher in the Notsu-lab at the Faculty of Mathematics and Physics in Kanazawa University, funded by CREST. Also holds an Adjunct Assistant Professorship (part-time lecturing) at Temple University Japan Campus. Mainly uses Python for research and has worked on mechanical and material science problems in collaboration with industry.
Background
- An applied mathematician who computes dynamics and uses dynamics to compute. The first topic is related to biomechanical models as well as a dynamics-driven perspective on AI. The second topic is the main focus, lying in the domain of physical reservoir computing, which utilizes natural physical phenomena to perform computations.
Miscellany
- First-generation university graduate from a lower-class background, strongly believes in a grass-roots approach to science. Supportive of open-source and thinks that a delta-function perspective on research is outdated in the age of model-free methods.
