About Me

Rastgoo Mojdeh

Currently I am a data scientist at Saint-Gobain Research Paris. I am passionate about data analysis, machine learning in general and I strive for open source and data.

My Career

Senior Data scientist @ Saint-Gobain.

From March 2022 to present. Develop and industrialized AI solutions for different businesses of Saint-Gobain.

April. 2022 - Present
Senior Data Scientist

Data scientist & Project Manager @ Saint-Gobain Research Paris.

From April 2018 to 2022. Developing AI solutions in context of R&D projects.

April. 2018 - March. 2022
Research Engineer & Project Manager

Post-doc at UBFC, Le2i laboratory

From March 2016 to March 2018, I was a post-doc in UBFC, Le2i laboratory, working on ANR VIPeR project.

March. 2016 - March. 2018
Post-doc

Joint PhD at UdG-UBFC

In June 2016, I graduated from a joint PhD from the Universitat de Girona and the Universite de Bourgogne France-Comte. My thesis was entitled "An approach to Melanoma Classification Exploiting Polarization Information".

Aug. 2012 - Jun. 2016
PhD candidate

Barcelona Digital

From September 2011 to June 2012, I was researcher at Barcelona Digital focusing on classification and data mining tools for European project Brainable.

Sep. 2011 - Jun. 2012
Intern researcher

Erasmus Mundus MSc in Vision and Robotics (Vibot) at HWU-UdG-UBFC

In September 2011, I graduated from a Master in Vision and Robotics. My final thesis was entitled "Change Detection in Epiluminescent Microscopy for Early Detection of Skin Cancer".

Sep. 2009 - Sep. 2011
MSc student candidate

Bachelor of Electrical and Electronics Engineering, University Teknologi PETRONAS

In 2005 I obtained PETRONAS scholarship to study EE.Eng in UTP and four years after, in June 2009, I obtained my bachelor among Hounor class.

Sep. 2005 - June. 2009
Bsc student candidate

My Skills

Curriculum Vitae

Research

Technical

Melanoma Cancer

Python


Polarized Imaging

Matlab


Retinopathy

C/C++


Pattern Recognition

Git


Machine Learning

Data Mining


Computer Vision

Linux/Unix


ROS

Latex


My Projects

GitHub

I2CVB Retinopathy

Repository associated with our medical imaging development related to retinopathy.

VIPeR

VIsion Polarimétrique pour la navigation de Robots, a project dedicated to exploit polarization as an extra navigation tool for the robot


My Publications

Google Scholar

2019

  • Exploration of Deep Learning-based Multimodal Fusion for Semantic Road Scene Segmentation

    Y. Zhang, O. Morel, M. Blanchon, R. Seulin, M. Rastgoo, Mojdeh and D. Sidibe
    14th International Conference on Computer Vision Theory and Application, VISAPP 2019. [HAL]

2018

  • Attitude Estimation from Polarimetric Cameras

    M. Rastgoo, C. Demonceaux, R. Seulin, and O. Morel
    International Conference on Intelligent Robots and Systems (IROS), pp. 8397-8403, 2018 [link][HAL]

2017

  • Machine learning techniques for diabetic macular edema (DME) classification on SD‐OCT images

    K. Alsaih, G. Lemaitre, M. Rastgoo, J. Massich, D. Sidibé, and F. Meriaudeau
    BioMedical Engineering Online, vol. 16(1), pp. 68-80, June 2017 [Open Access]

  • Computer-Aided Detection for Prostate Cancer Detection based on Multi-Parametric Magnetic Resonance Imaging

    G. Lemaitre, R. Marti,M. Rastgoo, and F. Meriaudeau
    39th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017. Jeju Island: Korea (August 2017) [GitHub] [HAL]

  • An anomaly detection approach for the identification of DME patients using SD-OCT images

    D. Sidibe, S. Sankar, G. Lemaitre, M. Rastgoo, J. Massich, C. Y. Cheung, G. S. W. Tan, D. Milea, E. Lamoureux, T. Y. Wong, and F. Meriaudeau
    Computer Methods and Programs in Biomedicine, vol. 139, pp. 109-117, February 2017 [link]

2016

  • Classification of SD-OCT Volumes using Local Binary Patterns: Experimental Validation for DME detection

    G. Lemaitre,M. Rastgoo, J. Massich, C. Y. Cheung, T. Y. Wong, E. Lamoureux, D. Milea, F. Meriaudeau, and D. Sidibe
    Journal of Ophthalmology, vol. 2016, Mai 2016 [link] [GitHub] [HAL]

  • Classifying DME vs normal SD-OCT volumes: A review

    J. Massich,M. Rastgoo, G. Lemaitre, C. Cheung, T. Y. Wong, D. Sidibe, and F. Meriaudeau
    23rd International Conference on Pattern Recognition (ICPR) 2016. Cancun: Mexico (December 2016) [GitHub][HAL]

  • On spatio-temporal saliency detection in videos using multilinear PCA

    D. Sidibe, M. Rastgoo and F. Meriaudeau
    23rd International Conference on Pattern Recognition (ICPR) 2016. Cancun: Mexico (December 2016) [HAL]

  • Classification of SD-OCT volumes with multi-pyramids, LBP and HoG descriptors: Application to DME detection

    K. Alsaih, G. Lemaitre, J. Massich,M. Rastgoo, D. Sidibe, T. Y. Wong, E. Lamoureux, D. Milea, C. Leung, and F. Meriaudeau
    38th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016. Orlando: USA (August 2016) [GitHub][HAL][poster]

  • Study of Data Imbalancing for Melanoma Classification

    M. Rastgoo, G. Lemaitre, J. Massich, O. Morel, F. Marzani, R. Garcia, and F. Meriaudeau
    3rd International Conference on BIOIMAGING. Rome: Italy (February 2016) [GitHub][HAL]

  • Normalization of T2W-MRI prostate images using Rician a priori

    G. Lemaitre, M. Rastgoo, J. Massich, J. C. Vilanova, P. M. Walker, J. Freixenet, A. Meyer-Baese, F. Meriaudeau, and R. Marti SPIE Medical Imaging 2016. San Diego: USA (February 2016) [GitHub][HAL][poster]

  • Classification of melanoma lesions using sparse coded features and random forests

    M. Rastgoo, G. Lemaitre, O. Morel, J. Massich, F. Marzani, R. Garcia, and D. Sidibe SPIE Medical Imaging 2016. San Diego: USA (February 2016) [GitHub][HAL]

2015

  • Automatic Differentiation of Melanoma from Dysplastic Nevi

    M. Rastgoo, O. Morel, F. Marzani and R. Garcia Computerized Medical Imaging and Graphics, vol.43, pp 44-52 [HAL]

  • Real-Time Optical Flow with Theoretically Justified Warping Applied to Medical Imaging

    A. Meyer-Baese, J. Massich, G. Lemaitre, and M. Rastgoo Breast Image Analysis Workshop (BIA), Medical Image Computing and Computer Assisted Interventions (MICCAI) 2015. Munich: Germany (October 2015) [GitHub][HAL]

  • Classification of SD-OCT volumes with LBP: Application to DME detection

    G. Lemaitre, M. Rastgoo, J. Massich, S. Sankar, F. Meriaudeau, and D. Sidibe Ophthalmic Medical Image Analysis Workshop (OMIA), Medical Image Computing and Computer Assisted Interventions (MICCAI) 2015. Munich: Germany (October 2015) [GitHub][HAL]

  • Ensemble Approach for Differentiation of Malignant Melanoma

    M. Rastgoo, O. Morel, F. Marzani and R. Garcia International Conference on Quality Control and Artificial Vision (QCAV) 2015. Le Creusot: France (June 2015)

2012

  • Pruning AdaBoost for Continuous Sensors Mining Applications

    M. Rastgoo, G. Lemaitre, X. Rafael, F. Miralles, and P. Casale Ubiquitous Data Mining Workshop, 20th European Conference in Artificial Intelligence 2012. Montpellier: France (August 2012) [PDF][poster]

  • Enhancing User Experience with Brain Neural Computer Interface in Smart Home Environment

    P. Casale, J.M Fernandez, X. Rafael, S. Torrellas,M. Rastgoo, F. Miralles, 8th IEEE International Conference of Intelligent Environments (INTENV12) 2012. (June 2012)

2011

  • Change Detection in Epiluminescent Microscopy for Early Detection of Skin Cancer

    M. Rastgoo and R. Garcia Thesis for Master in Science Vision and roBOTic (ViBOT), 2011

Thesis

  • An approach to Melanoma Classification Exploiting Polarization Information

    M. Rastgoo, O. Morel, F. Marzani and R. Garcia PhD at Universitat de Girona-ViCOROB and Universite de Bourgogne-LE2I, 2016 [manuscript]

  • Change Detection in Epiluminescent Microscopy for Early Detection of Skin Cancer

    M. Rastgoo and R. Garcia Thesis for Master in Science Vision and roBOTic (ViBOT), 2011

© 2023 M. Rastgoo