Dr. Ramzi Idoughi

Research scientist, KAUST Visual Computing Center

Degrees History:

• Ph.D. in Signal processing and Applied Physics, ONERA (the French Aerospace Lab) and the University of Toulouse, ISAE, Toulouse, France (2015)
• Master of Research in Signal, Image, Acoustics and Optimization (SIAO), ENSEEIHT, Toulouse, France (2011)
• Engineer Degree, Space system & image processing, ISAE/SUPAERO, Toulouse, France (2011)

Research Interests: signal and image processing, inverse problems and optimization for applied physics issues.

Additional details: Bio

Publications

Recent Publications (within VCC)

2016-
	Y. Wang, R. Idoughi, W. Heidrich: Learning Adaptive Tensorial Density Fields for Clean Cryo-EM Reconstruction NeurIPS, 2023 Project page
	Y. Wang, R. Idoughi, D. Rückert, R. Li, W. Heidrich: Adaptive Differentiable Grids for Cryo-Electron Tomography Reconstruction and Denoising Bioinformatics Advances, 2023 Project page
	R. Li, D. Rückert, Y. Wang, R. Idoughi, W. Heidrich: Neural Adaptive Scene Tracing (NAScenT) VMV, 2022 Project page
	Y. Wang, R. Idoughi, W. Heidrich: Joint Motion-Correction and Reconstruction in Cryo-EM Tomography ICIP, 2022 Project page
	D. Rückert, Y. Wang, R. Li, R. Idoughi, W. Heidrich: NeAT-Neural Adaptive Tomography ACM Transactions on Graphics (Proc. SIGGRAPH), 2022 Project page
	K. AbuJbara*, R. Idoughi*, W. Heidrich: Non-Linear Anisotropic Diffusion for Memory-Efficient Computed Tomography Super-Resolution Reconstruction 3DV, 2021 Project page (oral paper)
	G. Zang, R. Idoughi, R. Li, P. Wonka, W. Heidrich: IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction ICCV, 2021 Project page
	J. Xiong, A. Aguirre-Pablo, R. Idoughi, S. T. Thoroddsen, W. Heidrich: RainbowPIV with improved depth resolution — design and comparative study with TomoPIV Measurement Science and Technology, 2020 Project page
	Y. Wang, R. Idoughi, W. Heidrich: Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction ECCV, 2020 Project page
	G. Zang, R. Idoughi, C. Wang, A. Bennett, J. Du, S. Skeen, W. Roberts, P. Wonka, W. Heidrich: TomoFluid: Reconstructing Dynamic Fluid from Sparse View Videos CVPR, 2020 Project page
	J. Du*, G. Zang*, B. Mohan, R. Idoughi, J. Sim, T. Fang, P. Wonka, W. Heidrich, W. Roberts: Study of Spray Structure from Non-flash to Flash Boiling Conditions with Space-time Tomography Proceedings of the Combustion Institute, 2020 Project page
	F. Viallefont-Robinet, C. Bacour, M. Bouvet, M. Kheireddine, M. Ouhssain, R. Idoughi, L. Grignon, E. Munesa, F. Lemaitre, T. Riviere: Contribution to sandy site characterization: spectro-directional signature, grain size distribution and mineralogy extracted from sand samples Remote Sensing, 2019 Project page
	G. Zang, R. Idoughi, R. Tao, G. Lubineau, P. Wonka, W. Heidrich: Warp-and-Project Tomography for Rapidly Deforming Objects ACM Transactions on Graphics (Proc. SIGGRAPH), 2019 Project page
	A. A. Aguirre-Pablo, A. B. Aljedaani, J. Xiong, R. Idoughi, W. Heidrich, S. T. Thoroddsen: Single-camera 3D PTV using particle intensities and structured light Experiments in Fluids, 2019 Project page
	G. Zang, M. Aly, R. Idoughi, P. Wonka, W. Heidrich: Super-Resolution and Sparse View CT Reconstruction ECCV, 2018 Project page
	G. Zang, R. Idoughi, R. Tao, G. Lubineau, P. Wonka, W. Heidrich: Space-time Tomography for Continuously Deforming Objects ACM Transactions on Graphics (Proc. SIGGRAPH), 2018 Project page
	J. Xiong, Q. Fu, R. Idoughi, W. Heidrich: Reconfigurable Rainbow PIV for 3D Flow Measurement ICCP, 2018 Project page
	M. Li, R. Idoughi, B. Choudhury, W. Heidrich: Statistical model for OCT image denoising Biomedical Optics Express, 2017 Project page
	J. Xiong, R. Idoughi, A. Aguirre-Pablo, A. Aljedaani, X. Dun, Q. Fu, S. T. Thoroddsen, W. Heidrich: Rainbow Particle Imaging Velocimetry for Dense 3D Fluid Velocity Imaging ACM Transactions on Graphics (Proc. SIGGRAPH), 2017 Project page

Other Publications

• Journal
  1. Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging,
     Ramzi Idoughi, Thomas H. G. Vidal, Pierre-Yves Foucher, Marc-André Gagnon and Xavier Briottet
     Journal of Spectroscopy, Volume 2016, Article ID 5428762, 17 pages
     A corrigendum for this article has been published. To view the corrigendum, please click here
  
  
• Conference
  1. A non-linear optimal estimator for plume concentration retrieval, using airborne hyperspectral measurement,
     Ramzi Idoughi, Pierre-Yves Foucher, Marc-André Gagnon, Laurent Poutier, Véronique Achard and Xavier Briottet
     6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (IEEE-WHISPERS), At Lausanne (Switzerland), 24-27 June 2014
  
  
  2. Gaseous pollutants characterization over heterogeneous ground from airborne hyperspectral measurements at high spatial resolution: case of industrial sites,
     Ramzi Idoughi, Pierre-Yves Foucher, Laurent Poutier and Xavier Briottet
     8th EARSeL SIG Imaging Spectroscopy Workshop, At Nantes (France), 8-9 April 2013
  
  
  3. Détection de polluants atmosphériques par imagerie hyperspectrale infrarouge : étude du cas de polluants gazeux en zone industrielle à haute résolution spatiale (French),
     Ramzi Idoughi, Pierre-Yves Foucher, Laurent Poutier, Véronique Achard and Xavier Briottet
     2nd Seminar of the French Society of the Hyperspectral Remote Sensing, Toulouse (France), 18-19 June 2012 (Oral session)
  
  
  4. Coupling Hyperspectral imaging and Lidar measurements to estimate gas and aerosols emissions from industrial and anthropogenic sources,
     Ramzi Idoughi, Pierre-Yves Foucher, Adrien Deschamps and Xavier Briottet
     15th Conference of the Global Emissions InitiAtive (GEIA), Toulouse (France), 11-13 June 2012 (Poster session)
  
  
• PhD. Thesis
  1. Gaseous pollutants characterization using airborne hyperspectral measurements at high spatial resolution (French),
     Ramzi Idoughi
     Onera (the French aerospace lab.), Toulouse (France), Sep 2015.
  
  

Scientific and Professional memberships:

KAUST Affiliations: