IT Instructor
Matrix
Total des années d'expérience :14 years, 3 Mois
- Programming : Python and Java
- Big Data using Hadoop
- Manual and Automated Software Testing
- Software testing tools
- Database : Design (ERD), MS Access, MySQL, Microsoft SQL Server
- Time Management : Gantt Diagram
- Web Programming : HTML, CSS, PHP and Javascript
- Recent Operating Systems : Linux and Windows 10
- Network: Cisco Packet Tracer, Windows Server 2012, Windows Server 2016
1- Analyse data: Data preprocessing, criteria selection, modeling
2- Use statistical methods to analyze large amounts of data using Python and Matlab
3- Evaluate machine learning algorithms (e.g. Decision Tree) to find patterns and model the driver behavior
4- Develop insurance premium models based on driver behavior insights (for insurance business purposes)
5- Design the user dashboard (user interface, insurance bonus/Malus, data visualization, etc.) using HighCharts
6- Develop KPIs and insurance user interface
7-Supervise of master's students and international trainees (MEMS sensor calibration algorithms - GPS/INS integration algorithms for the minimization of vehicle position error in post-processing using artificial intelligence techniques)
8-Manage the VTADS project (https://lassena.etsmtl.ca/spip.php?rubrique29#34) and write the project's annual reports
9-Present the VTADS project to several industries for possible collaborations
10-Write project proposals
11-Write scientific articles (2 published journal papers and 5 published peer reviewed international conference papers)
12-Present international conference papers (e.g. IEEE-ION, IEEE-ITSC, IFAC-AAC, etc.)
Programming language: Matlab -C-Python
1-Develop of a road traffic simulator using C, C ++ and Matlab
2-Analyse of traffic data
3-Macroscopic and microscopic modeling of traffic
4-Test and develop traffic control laws and driver assistance system
5-Develop critical accident scenarios and development of driving risk indicators
6-Write reports and scientific papers
7-Develop and test of traffic scenarios and the related safety indicators under mixed road environment using Matlab and the developed traffic simulator
8-Publish 4 conference papers, 2 journal papers
Programming languages: Matlab and C (with OpenGl library)
1-Develop macroscopic driving simulation
2-Analyse of simulation data
3-Develop of a new macroscopic model of road traffic
4-Sensitivity analysis of the macroscopic traffic parameter
5-Write reports and two scientific papers (journal + conference)
Programming language: Matlab
1-Tests planning with the Citroen C3 car for data acquisition
2-Clean and analyse navigation data
3-Develop driving assistance system
4-Real-time test of the developed models and results analysis
5-Write the internship report
Programming language: Matlab, C++ (object oriented programming)
Design, implementation and test of wireless sensors network (ZigBee and SIEMECA AMR). Development of application with ZigBee based development board
Traffic modelling, vehicle control- traffic simulation, driver safety, Adaptive Cruise Control, Advanced driver assistance systems
Optimal control, predictive control, identification, real time, vehicle modelling and control, Unscented and Extended Kalman filters
Automatic - computer science
Mathematics and physics