プロフィール詳細

プロジェクトを作成

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Dr. Omid G.に依頼

Italy

Transportation Data Scientist & ADAS Consultant | PhD | Road Safety, Machine Learning, Python, GIS & Statistics

プロフィール概要

I am a PhD-qualified Transportation Engineer and Postdoctoral Researcher specializing in transportation data analytics, road safety, Advanced Driver Assistance Systems (ADAS), automated mobility, and Operational Design Domain (ODD) assessment. My work combines transportation engineering with data science and machine learning to solve problems involving vehicle, road, traffic, environmental, and human-behavior data. I have experience developing end-to-end analytical workflows for large-scale real-world datasets, including data acquisition, cleaning, synchronization, integration, feature engineering, statistical analysis, predictive modeling, visualization, validation, and interpretation. My research has involved multimodal datasets integrating Mobileye ADAS data, GNSS/INS, GIS and digital-map information, road-infrastructure measurements, environmental conditions, and human-perception data. I have developed models for ADAS performance assessment, lane-marking quality classification, road-infrastructure evaluation, driver-behavior analysis, and ODD characterization under different road, weather, traffic, and lighting conditions. My methodological expertise includes statistical modeling, machine learning, explainable AI, time-series analysis, predictive analytics, data fusion, GIS-based analysis, and experimental research design. I primarily work with Python (Pandas, NumPy, Matplotlib, scikit-learn), MATLAB/Simulink, R, Jupyter, and GIS-based analytical workflows. In addition to data analysis and modeling, I can support clients with scientific and technical research, research methodology, literature reviews, technical reports, scientific writing and editing, peer-review support, and interpretation of complex analytical results. I have international research experience, including work at TU Delft's Traffic and Transportation Safety Lab, and I have authored peer-reviewed publications and served as a reviewer for several international transportation and engineering journals and conferences. I am particularly interested in consulting and research projects involving transportation and mobility data, road safety, ADAS and automated driving, intelligent transportation systems, predictive modeling, machine learning, statistical analysis, GIS, and data-driven engineering problems.

専門分野

• ★ Transportation
• ★ Data Analysis
• ★ Machine Learning
• ☆ Civil Engineering
• ☆ Roads & Road Construction
• ☆ Traffic Engineering
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Artificial Intelligence
• ☆ Statistics
• ☆ Statistical Computing
• ☆ Geographic Information Systems (GIS)
• ☆ Python
• ☆ SPSS
• ☆ Matlab
• ☆ Excel
• ☆ R
• ☆ Scikit-learn
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Feasibility Studies
• ☆ Literature Search
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Experimental Protocols
• ☆ White Papers
• ☆ Case Studies
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Data-Driven Decision Making

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, General Proofreading & Editing

Research Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

University of Catania

- 現在

Postdoctoral Researcher in Transportation Engineering

University of Catania

12月 2024 - 現在

Transportation Engineering Intern

ITER Infrastructure & Transport Engineering S.r.l.

1月 2024 - 7月 2024

Visiting Researcher Traffic and Transportation Safety Lab

Delft University of Technology

2月 2023 - 8月 2023

学歴

PhD in VALUTAZIONE E MITIGAZIONE DEI RISCHI URBANI E TERRITORIALI (Department of Civil Engineering & Architecture)

University of Catania

12月 2021 - 現在

PhD in Transportation Engineering

University of Catania

12月 2021 - 12月 2024

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Omid Ghaderi, Salvatore Cafiso, Riccardo Caponetto, Michele Mangiameli, Giuseppina Pappalardo (2025). Genetic algorithm optimization and sensitivity analysis of bicycle characteristics for vibration monitoring . International Journal of Transportation Science and Technology.

Omid Ghaderi, Giovanni Andrea Dimauro, Salvatore Cafiso, Giuseppina Pappalardo (2025). Development of decay curve for paint pavement marking using machine learning and generalized estimation equation . Journal of Infrastructure Preservation and Resilience.

2. S. Cafiso, H. Farah, O. Ghaderi, and G. Pappalardo, “Experimental analysis of road characteristics’ impact on the performance of lane support system,” Advances in Transportation Studies, vol. 63, pp. 315–324, 2024. DOI: 10.53136/979122181262621 .

Evaluation of the airport runway flexible pavement macro-texture using digital image processing technique (DIPT) <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . International Journal of Pavement Engineering.