Mohamed Eldafrawi

PhD Student

PhD program:: XXXVI
email: mohamed.eldafrawi@uniroma1.it
phone: 3248025736
building: DICEA - via Eudossiana, 18 - 00184 Roma Edificio A - Piano 3° - Area Trasporti

supervisor: Prof. Guido Gentile

Mohamed Eldafrawi has a Master Degree in Transportation Engineering (January 2020) at La Sapienza University of Rome with grade of 110/110 cum laude with the thesis "Dynamic OD Matrix Estimation Methodology for Congested Networks".
He is a Transport Planning and Development Engineer with experience in the Transportation/Traffic Engineering field. Has got strong skills and experience in multiple areas in transportation including Traffic Operation Analysis, Traffic Demand Modelling, Traffic Simulation, software development and Data Manipulation.

Research products

11573/1690630 - 2024 - Navigating Italy's growing smart working landscape: insights from employee cluster analysis

Berutti Bergotto, Melissa; Eldafrawi, Mohamed; Gentile, Guido - 02a Capitolo o Articolo

book: Reliability and Statistics in Transportation and Communication (RelStat 2023) - (9783031535970)

11573/1690432 - 2024 - Predictive analytics for road traffic accidents: exploring severity through conformal prediction

Eldafrawi, Mohamed; Varghese, Ken Koshy; Afsari, Marzieh; Babapourdijojin, Mahnaz; Gentile, Guido - 04b Atto di convegno in volume

conference: 2024 TRB Annual Meeting (Washington DC, USA)

book: Proceedings of TRB Annual Meeting 2024 - ()

11573/1673566 - 2023 - One-Level Joint Formulation of the Travel Demand Estimation Problem Under User Equilibrium as a Non-Linear Equation System

Eldafrawi, Mohamed Mohamed Ahmed - 04f Poster

conference: TRB 102nd Annual Meeting (TRB 102nd Annual Meeting)

book: TRB 102nd Annual Meeting - ()

11573/1673534 - 2023 - A single-level joint formulation for travel demand estimation under stochastic user equilibrium

Eldafrawi, Mohamed; Gentile, Guido - 02a Capitolo o Articolo

book: Reliability and Statistics in Transportation and Communication (RelStat 2022) - (978-3-031-26654-6; 978-3-031-26655-3)

11573/1673524 - 2023 - Effect of spatio-temporal granularity on demand prediction for deep learning models

Varghese, Ken Koshy; Mahdaviabbasabad, Sajjad; Gentile, Guido; Eldafrawi, Mohamed Mohamed Ahmed - 01a Articolo in rivista

paper: TRANSPORT AND TELECOMMUNICATION (Warszawa: Versita Online-De Gruyter publishing group) pp. 22-32 - issn: 1407-6179 - wos: WOS:000942983100003 (0) - scopus: 2-s2.0-85149646941 (0)