Dr. Racha Khelif

Angestellt, Software-Entwicklerin, Bertrandt

Schönaich, Deutschland

Fähigkeiten und Kenntnisse

Fault diagnosis
Prognostics
Feature extraction
pattern recognition
Prediction
Machine learning
Signal Processing
MatLab
Control system engineering
Computational Intelligence
Cluserting algorithms
Unsupervised learning
Supervised learning
Classification
Time series
Condition Monitoring
Feature selection
Predictive modeling
Data Science
Simulink
MySQL

Werdegang

Berufserfahrung von Racha Khelif

  • Bis heute 6 Jahre und 6 Monate, seit Jan. 2018

    Software-Entwicklerin

    Bertrandt
  • 3 Jahre und 1 Monat, Nov. 2012 - Nov. 2015

    Research Engineer

    at Automation and Micro-Mechatronics Systems department of ENSMM

    Duties involved conducting state of art researches about prognosis of failures, processing data, developing predictive models for failure forecasting, writing technical reports, presenting results internally and in international events and publishing in scientific journals

  • 8 Monate, Okt. 2014 - Mai 2015

    Part-time teacher

    ENSMM (Ecole Nationale Superieure de Mecanique et Mecatronique)

    Duties inculded supervising linear control lab sessions for first year engineering students: System analysis (stability and performance) Regulation and control

  • 7 Monate, Dez. 2011 - Juni 2012

    Lab. Assisstan

    Institut de Génie Electrique et Electronique IGEE

    Duties included supervising digital system design lab sessions for third year engineering students: Introduction to FPGA design, Quartus II and VHDL

  • 5 Monate, März 2011 - Juli 2011

    Research trainee

    Advanced technologies research center (CDTA )

    Duties involved doing research about Zigbee technology, configuring a wireless platform for sensors, writing reports and presenting in internal events

Ausbildung von Racha Khelif

  • 3 Jahre und 2 Monate, Nov. 2012 - Dez. 2015

    Automatisierungstechnik

    Université de Franche-Comté

    Prognostics and Health Management, Prediction, Remaining Useful Life, Data Driven Techniques, Machine Learning, Instance Based Learning, Case Based Reasoning, Regression approaches, Dimensionality reduction, classification and clustering (fuzzy mean clustering) and regression (SVR,...).

Sprachen

  • Deutsch

    Gut

  • Englisch

    Fließend

  • Französisch

    Fließend

  • Arabisch

    Muttersprache

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