researchactivity-gabriel preda excerpt - university of tokyo nerl
TRANSCRIPT
My research journey: from fundamental research to
industry[excerpt]
Gabriel Preda
ELECTRICAL ENGINEERING DEPARTMENTElectrical Engineering Faculty
POLITEHNICA University of Bucharest
Research path – categoriesComputational electromagnetics
• Integral FEM solution for nonlinear moving media @ POLITEHNICA University
• FEM-BEM formulation for nonlinear media @ Tokyo University
• FEM multi-physics professional solution @ SSIL Inc., Tokyo
Artificial intelligence based inverse problem solution in Nondestructive
Testing
• Artificial defects geometry reconstruction using Neural Networks @ Tokyo University
• Material degradation evaluation using Neural Networks @ Tokyo University
• Deep defects geometry evaluation using pulse eddy currents, Neural Networks or Genetic Algorithms @ POLITEHNICA University
Image processing and medical imaging
• Object recognition, position and orientation detection using Hough transform and pattern recognition @ SSIL Inc., Tokyo
• Fringe pattern analysis for interferometry images @ SSIL Inc., Tokyo
• Medical imaging for virtual endoscopy @ Advantec Solutions, Bucharest
Research path – an historical approach
Tokyo University JSAEM SSIL Inc.
Kisano Medical Systems
1992 1999 2001,March
2001,Sep
2005,May 2014
20122006 2009
Advantec Solutions
UPB
Defend PhDStart Post-Doc
Enroll PhD
1993
ENSIMAG
1994
- Integral FEM solution for nonlinear moving media media
UPB
Main PhD work published
1993 1997
- FEM-BEM for nonlinear media - Material degradation evaluation- Artificial defects geometry reconstruction using NN
ECT & MFL based NDT
- FEM solver- Image processing
- Pulse ECT for deep defects- Medical imaging- Telemedicine
- Programming & computer science training
2011
IXI Mobile, Telmap, Endava
1999-2001: Post-doc, Tokaimura, Todai Eddy-currents testing using FEM-BEM linear code (Kurokawa). Application to
detection of manufactured and natural defects in stainless steel (Inconel 600) tubing of Steam Generator (SG) of Pressurized Water Reactors (PWR);
Inverse problem solution (reconstruction of defects geometry) using an in-house method based on Principal Component Analysis (PCA), Artificial Neural Networks and Shifting Aperture method (Popa): solution for fully-isolating defects and partial-conductivity defects;
Preda, G., Popa, R.C., Demachi, K., Miya, K., Neural network for inverse mapping in eddy current testing, Neural Networks, 1999, IJCNN'99, International Joint Conference on, 6(1), pp. 4033-4036, 1999.
1999-2001: Post-doc, Tokaimura, Todai Material degradation characterization using magnetic measurements:
austenitic phase of non-magnetic materials changed to martensitic phase thus detection of magnetic flux density distribution outside of the material probe (Preda, Takaya);
Shigeru Takaya, Gabriel Preda, Kazuyuki Demachi, Tetsuya Uchimoto and Kenzo Miya, Reconstruction of Magnetization from Magnetic Flux Leakage for Evaluation of Material Degradation, Electromagnetic Nondestructive Evaluation V, 1(1), pp. 291-298, 2001.
1999-2001: Post-doc, Tokaimura, Todai Eddy-currents testing using FEM-BEM nonlinear code
(Preda, after Kurokawa, Kurtz & Fetzer);
Pulse eddy-currents testing using FEM-BEM nonlinear code and NN (Popa).
Preda, G., Cranganu-Cretu, B, Hantila, F.I., Mihalache, O., Zhenmao Chen, Miya, K, Nonlinear FEM-BEM formulation and model-free inversion procedure for reconstruction of cracks using pulse eddy currents, Magnetics, IEEE Transactions on, 38(2), pp. 1241-1244, 2002.