Noshaba Cheema

Doctoral Candidate at Max Planck Institute for Informatics
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Cologne, DE

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Germany
    • Research Services
    • 100 - 200 Employee
    • Doctoral Candidate
      • Oct 2019 - Present

      Saarbrücken Area, Germany

    • Master Student
      • Apr 2016 - Sep 2019

      Saarbrücken Area, Germany Master/PhD Fellow at the International Max-Planck Research School for Computer Science.

    • Germany
    • Research Services
    • 700 & Above Employee
    • Researcher
      • Mar 2019 - Present

      Saarbrücken Area, Germany

    • Project Leader
      • Jan 2021 - Sep 2022

    • Germany
    • Research Services
    • 700 & Above Employee
    • Research Assistant
      • Nov 2017 - Feb 2019

      Saarbrücken Area, Germany

    • Finland
    • Higher Education
    • 700 & Above Employee
    • Visiting Researcher
      • Apr 2018 - Oct 2018

      Helsinki Area, Finland Bio-mechanical effort modeling for reinforcement learning.

    • Germany
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Oct 2017 - Mar 2018

      Winter Term 2017: Basics of Signal Processing Supervisor: Prof. Dr. Dietrich Klakow

    • United States
    • Computer Hardware Manufacturing
    • 700 & Above Employee
    • Teaching Assistant
      • Oct 2017 - Oct 2017

      Munich Area, Germany Teaching Assistant at the NVIDIA DLI labs at the NVIDIA GTC EU conference 2017. Topics of the labs included: - Medical Image Analysis / Classification with CNNs - Modeling Time Series with RNNs in Keras - Deep Reinforcement Learning - Trading Strategy for Finance using LSTMs and Deep Autoencoders - Image creation and style transfer with GANs - Denoising using Autoencoders

    • Germany
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Sep 2015 - Mar 2017

      Bremen Area, Germany Development of a computational model of the human visual system to create images from the feature maps of a pretrained convolutional neural network that resemble the human peripheral crowding effect. The newly developed model should be neuroscientificly more accurate than existing models.

    • Germany
    • Higher Education
    • 300 - 400 Employee
    • Teaching Assistant
      • May 2015 - Jan 2016

      Bremen Area, Germany Summer Term 2015: Applied Mathematics (for Media Computer Science) Supervisor: Prof. Dr. Martin Hering-Bertram

    • Germany
    • Research Services
    • 700 & Above Employee
    • Research Intern
      • Sep 2015 - Dec 2015

      Bremen Area, Germany Joint internship with the DFKI Bremen and the Cognitive Neuroinformatics Group at the University of Bremen. Getting used to the BVLC Caffe framework to implement new layers in C++ and Python and build a framework to model the human visual system. Specifically, for modelling the peripheral crowding effect.

    • Germany
    • Higher Education
    • 300 - 400 Employee
    • Teaching Assistant
      • Mar 2014 - Jun 2014

      Bremen Area, Germany Summer Term 2014: Applied Mathematics (for Media Computer Science) Supervisor: Prof. Dr. Martin Hering-Bertram

Education

  • Universität des Saarlandes
    Doctor of Philosophy - PhD, Computer Science
    2019 -
  • Aalto University
    Visiting Student, Computer Science
    2018 - 2018
  • Universität des Saarlandes
    Master’s Degree, Computer Science
    2016 - 2019
  • Universität des Saarlandes
    Master’s Degree, Visual Computing
    2016 - 2019
  • New York University - Polytechnic School of Engineering
    Foreign Semester, Computer Science and Digital Media
    2014 - 2014
  • The Bremen University of Applied Sciences
    Bachelor’s Degree, Media Computer Science
    2012 - 2016
  • Gymnasium Sulingen
    High School
    2004 - 2012

Community

You need to have a working account to view this content. Click here to join now