
Mohammad Ali Zaiter
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Mohammad Ali Zaiter
- 2 Jahre und 3 Monate, Apr. 2023 - Juni 2025
Perception Algorithm Engineer
LAKE FUSION Technologies GmbH
∠Development of segmentation rule-based algorithms and fusion of data from multiple sensor technologies for autonomous vehicles ∠ Implementation of 2D and 3D interpolation grid based algorithm for LiDAR data reconstruction ∠ Development of segmentation and detection algorithms for free space and non-free space to support aviation safety technology in airborne applications ∠ Design of ground road segmentation of LiDAR sensor and free-space polygon algorithms of RADAR sensor for autonomous vehicle navigation
- 1 Jahr und 3 Monate, Jan. 2022 - März 2023
Signal and Image Processing Lecturer
HO CHI MINH CITY OPEN UNIVERSITY
∠ Criticize students to implement the subject project ∠ Reviewing and participating in the grading committee for the graduation thesis and master’s thesis ∠ Contribute ideas and advice on course content and training programs, also support and comment on the inspection work ∠ Participating in scientific research in accordance with the University’s regulations
- 3 Monate, März 2022 - Mai 2022
GIS Trainer
REBAIE ANALYTICS GROUP SARL
∠ Delivering the training and specifically the GIS technical demos on QGIS ∠ Localise existing GIS Curriculum according to the client’s country of origin ∠ Mentoring groups with hands-on custom GIS exercises
- 3 Jahre und 5 Monate, Nov. 2017 - März 2021
PhD Researcher
NATIONAL CENTER FOR REMOTE SENSING (CNRS) & UNIVERSITÉ DU LITTORAL CÔTE D’OPALE
∠ Spatial and temporal adjustment of the LiDAR sensor measurements ∠ Segmentation for the extraction of relevant information (plans and segments) induced by the large quantity of impacts ∠ 3D LiDAR point cloud frame calibration using novel Plane-Based LiDAR/Ground Calibration Method ∠ Road defects detection and identification using novel Feature-Based Defect Detection Method ∠ Road defects localization and visualization of 2D image information using novel Grid-Based Defect Detection Method
- 1 Jahr, Nov. 2016 - Okt. 2017
Research Engineer
NATIONAL CENTER FOR REMOTE SENSING (CNRS) & UNIVERSITÉ LIBANAISE
∠ Spatial LiDAR sensor adjustment of the measurements to provide good ground coverage data ∠ 3D point cloud raw data analysis recorded by the LiDAR sensor ∠ Line extraction and segmentation using linear-based, feature-based and model-based approaches for road edge detection
Ausbildung von Mohammad Ali Zaiter
- 7 Monate, Sep. 2020 - März 2021
Signal and Image Processing
Université du Littoral Côte d'Opal
Thesis : Detection, Identification and Localization of Road Defects using 3D LiDAR Data : Application to Road Network State Evaluation
- 3 Jahre und 5 Monate, Nov. 2017 - März 2021
Signal and Image Processing
Université du Littoral Côte d'Opal
Thesis : Detection, Identification and Localization of Road Defects using 3D LiDAR Data : Application to Road Network State Evaluation
- 11 Monate, Sep. 2016 - Juli 2017
Signal Telecommunication Image and Speech
Université Libanaise
Thesis : Localization and 3D Mapping using Telemetric Data
- 4 Jahre und 11 Monate, Sep. 2010 - Juli 2015
Computer and Communication Engineering
Islamic University of Lebanon
Capstone Project : OBD Tool for Real Time Monitoring and Notification of Vehicle Parameters
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Arabisch
Fließend
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