Mohammad Sadil Khan

PhD in 3D Computer Vision

Work Experience

  • PhD Student Feb 2024 -

    German Center of Artificial Intelligence (DFKI), RPTU

    Kaiserslautern, Germany

    Project: Vision-Language Architectures for 3D Scene and Shape Reconstruction.

  • Student Researcher Jan 2023-Feb 2024

    CVI2 Lab, SnT, University of Luxembourg

    Kirchberg, Luxembourg

    Project: 3D Shape Modelling using Deep Geometric and Language Models.

    The primary task was to develop novel vision-language architectures for CAD language inference from the point cloud.

  • Research Intern Feb 2022-Jul 2022

    Creatis, INSA Lyon

    Lyon, France

    Master Thesis Title: Learning Shapes For The Effective Segmentation of 3D Medical Images using Point Cloud.

    Worked on 3D medical image segmentation using Point Cloud under Prof. Razmig Kechichian, Julie Digne, and Sebastien Valette.

  • Research Intern Apr 2021-Aug 2021

    Laboratoire Hubert Curien, Université Jean Monnet

    Saint-Étienne, France

    Project: Detector-Encoder Autoencoders for unsupervised decomposition into visual parts.

    Worked on reconstructing historical ornament vignettes under Prof. Rémi Emonet and Prof. Thierry Fournel.

  • Data Analyst Intern May 2020-Jul 2020

    Accenture Digital

    India

    Project: Intelligent Inventory Planning

    Worked on automatic forecast hedging to cover demand gaps using AI.

Education

  • PhD in Computer Science Feb 2024-

    Rheinland-Pfälzische Technische Universität (RPTU)

    Kaiserslautern, Germany
  • M.Sc in Machine Learning and Data Mining Oct 2020 - Sep 2022

    Université Jean Monnet

    Saint-Étienne, France
  • Erasmus Exchange in Faculty of Engineering Science Sep 2021 - Feb 2022

    KU Leuven

    Leuven, Belgium
  • Masters M1 in Data Science Aug 2019 - Jul 2020

    Chennai Mathematical Institute

    Siruseri, India
  • B.Sc in Mathematics Jul 2016 - May 2019

    Ramakrishna Mission Residential College

    Kolkata, India
Posted on:
December 21, 2022
Length:
2 minute read, 246 words
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