王旭

王旭

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  • Timeline

  • About me

    UAES - Machine Learning Algorithm Engineer

  • Education

    • 同济大学

      2011 - 2014
      Bachelor of engineering (b.e.) vehicle technology 4.3/5.0
    • Technische hochschule nürnberg georg simon ohm

      2014 - 2015
      Bachelor of engineering (b.e.) vehicle technology
    • Universität stuttgart

      2016 - 2018
      Master of science (m.sc.) vehicle technology
  • Experience

    • Edag china爱达克中国

      Jul 2013 - Sept 2013
      Project management intern

      - Date processing and documentation with Excel and CATIA V5

    • 戴姆勒 - 克莱斯勒

      Mar 2015 - Sept 2015
      Bachelor thesis student

      Topic of the thesis: dynamical simulating and acoustic analyzing of the screeching in the braking1. Design and implementation of the acoustic test of the component2. Data pre-processing and analyzing in Matlab3. Dynamical simulation of the braking system model in Matlab and Abaqus

    • 戴姆勒 - 克莱斯勒

      Dec 2016 - Sept 2017
      Working student

      Tasks of student working: Data Mining of the high-volt battery signals in CAN bus1. Rebuilding the temporary 2 CAN Data Mining scripts to realize new functions2. Developing new Data Mining algorithm for the new 8 CAN systems3. Analyzing and visualizing the results

    • Zf 集团

      Dec 2016 - Mar 2018
      Student trainee

      Trainee Programm with ScholarshipSoftskill-Training workshops: Project management, Risk Assessment, Intercultural Communication, Rhetoric

    • Institute of engineering and computational mechanics,

      Apr 2017 - Nov 2017
      Study thesis student

      Topic of Study thesis: Geometrical optimization of the crumple zone using Fuzzy algorithm1. Using Matlab to integrate and automate the processes of geometry building, FEM modeling and simulating2. Analyzing the robustness of the dynamical system with the help of Fuzzy Algorithm3. Optimizing the geometrical parameters with the Pareto Efficiency.

    • 博世

      Oct 2017 - Apr 2018
      Master thesis student

      Topic of the master thesis:Analyzing vibration fatigue with the help of artificial neural networks 1. Data pre-processing and feature extraction based on classical analyzing algorithms2. Constructing ANN model in Python to predict (or classify) the life-time of materials by the given non-linear loads 3. Deepening and optimizing ANN model with the help of TensorFlow

    • Uaes

      Apr 2018 - now
      Machine learning algorithm engineer

      1. According to the business requirements, formulate data analysis and machine learning solutions2. Responsible for the development and application of Machine Learning algorithms, including feature extraction, feature selection, algorithmic modeling, coding and test, continuous optimization and data visualization3. Provide algorithmic technical support for new planned business, verify technical feasibility4. Follow new development tools and algorithms of big data, keep development competence improved continuously Show less

  • Licenses & Certifications

    • Convolutional neural networks

      Coursera course certificates
      Jan 2018
      View certificate certificate
    • Improving deep neural networks: hyperparameter tuning, regularization and optimization

      Coursera course certificates
      Dec 2017
      View certificate certificate
    • Neural networks and deep learning

      Coursera course certificates
      Dec 2017
      View certificate certificate
    • Structuring machine learning projects

      Coursera course certificates
      Dec 2017
      View certificate certificate