SEYEDHASSAN HOSSEINI

PhD Student

PhD program:: XXXVII
email: seyedhassan.hosseini@uniroma1.it
phone: 3515765995
building: DICEA - via Eudossiana, 18 - 00184 Roma
room: DICEA-RM031, Area Trasporti

supervisor: Professor Guido Gentile

Research: Trip Phase Recognition and Transport Mode Classification Through Mobile Sensing Technologies

Dedicated full-stack software developer and PhD student in transportation and traffic with over three years of experience in developing user-friendly web applications. Skilled in transport mode detection and trip phase recognition using mobile sensors, applying deep learning and machine learning models.

Work Experience
React and React Native Developer, Movesion, Rome
May 2022 – January 2024
Developed web and mobile applications for logistics and mode detection.

Front End Developer, PTV Group, Rome
June 2022 – January 2023
Developed and optimized web applications for urban traffic monitoring using React and JavaScript.

Full Stack Developer, Movesion, Rome
October 2021 – May 2022
Developed responsive web applications and mobile applications using React Native, Node.js, MongoDB, and TensorFlow.

Full Stack Developer, Immigration Company, Rome
2020 – February 2021
Developed mobile and web applications with Xamarin (C#) and MySQL.

Machine and Deep Framework Developer, Sapienza University, Rome
January 2022 – December 2023
Developed web applications leveraging machine learning.

Skills
Frontend: JavaScript, HTML, CSS, React, React Native
Backend: Node.js, RESTful APIs, DevOps
Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB
Machine Learning: TensorFlow, Keras, CNN, RNN, Neural Networks
Tools: Git, Docker, TypeScript, Python

Awards
Best Paper: 22nd International Multi-Conference on Reliability and Statistics in Transportation and Communication.
Gold Medal: Germany Festival of Inventions for an intelligent alarming gadget for urban accident prevention.
Gold Medal: Switzerland and South Korea Invention Festivals for a Smart Shopping Cart for the visually impaired.
Top Student: Among top 10 in Transportation Engineering at Sapienza University.

Grants
Erasmus+ Traineeship Grant: Technical University of Berlin (2021).
Erasmus Grant: MSc at Sapienza University of Rome (2019).
Financial Support: Bachelor’s degree, Payam Noor University.

Research products

11573/1692860 - 2024 - Automated passengers trip phase recognition and public transit accessibility level analysis via machine learning models using GPS data

Hosseini, Seyedhassan; Pourkhosro, Siavash; Bresciani Miristice, Lory Michelle; Viti, Francesco; Gentile, Guido - 04b Atto di convegno in volume

conference: 103rd Transportation Research Board (TRB) Annual Meeting (USA, Washington, DC)

book: Proceedings of the 103rd Transportation Research Board (TRB) Annual Meeting - ()

11573/1692861 - 2024 - GPS-based trip phase and waiting time detection to and from public transport stops via machine learning models

Hosseini, Seyedhassan; Pourkhosro, Siavash; Gentile, Guido; Bresciani Miristice, Lory Michelle - 01a Articolo in rivista

paper: TRANSPORTATION RESEARCH PROCEDIA (Amsterdam: Elsevier) pp. 530-537 - issn: 2352-1457 - wos: (0) - scopus: 2-s2.0-85187578604 (0)

11573/1673531 - 2023 - Inferring station numbers in metro trips using mobile magnetometer sensor via an unsupervised k-means clustering algorithm

Hosseini, Seyedhassan; Gentile, Guido; Varghese, Ken Koshy; Bresciani Miristice, Lory Michelle - 04b Atto di convegno in volume

conference: 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (Nice, France)

book: Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) - (978-1-6654-5530-5)

11573/1665510 - 2022 - Smartphone-based recognition of access trip phase to public transport stops via machine learning models

Hosseini, Seyedhassan; Gentile, Guido - 01a Articolo in rivista

paper: TRANSPORT AND TELECOMMUNICATION (Warszawa: Versita Online-De Gruyter publishing group) pp. 273-283 - issn: 1407-6179 - wos: WOS:000884899200001 (1) - scopus: 2-s2.0-85143057682 (2)