Simone Paradiso is a Management Engineer and an MSCA (Marie Skłodowska-Curie Actions) PhD Candidate and Researcher at the Department of Transportation Planning and Engineering at the School of Civil Engineering of the National Technical University of Athens (NTUA). Since 2022, he holds a MSc in Management Engineering from University of Naples Federico II.


Specialisation areas

  • Artificial Intelligence
  • Road Safety
  • Driver Behaviour
  • Statistical Analysis and Modeling
  • Machine Learning
  • Data Science
  • Spatial Analysis

Education

  • Candidate for Doctor of Philosophy (PhD), 2024 – ongoing, in the Department of Transportation, Planning and Engineering at the National Technical University of Athens. Topic: “Artificial intelligence for Road Safety Monitoring and Crash Prediction from micro to macro levels”.
  • Master’s Degree in Management Engineering 2020-2022, curriculum Supply Chain management, at the School of Industrial Engineering of the University of Naples Federico II.
  • Bachelor’s Degree in Management Engineering 2017-2020, at the School of Industrial Engineering of the University of Naples Federico II.

 


Publications in Scientific Journals

  • Paradiso, S., Ziakopoulos, A. & Yannis, G. (2026). “Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review”. Journal of Safety Research, Volume 97, 2026, Pages 737-761, https://doi.org/10.1016/j.jsr.2026.05.014 .

Publications in Scientific Conferences

  • Paradiso, S., Nikolaou, D., Ziakopoulos, A., Aivaliotis, A. & Yannis, G. (2025). “Combining diverse data sources for intersection crash analyses based on incomplete records”, Navigating the Future of Traffic Management, International Symposium, IRF & ICCS, Athens, Greece, 29 June – 03 July 2025.
  • Paradiso, S., Ziakopoulos, A. & Yannis G. (2025). “Aggregating Telematics for Road Safety Analysis”. 12th International Congress on Transportation Research (ICTR) 2025, Thessaloniki, Greece, 16-18 October 2025.
  • Paradiso, S., Ziakopoulos, A. & Yannis, G. (2025). “The use of Graph Neural Networks for Clustering in Road Safety Analysis”. 13th Symposium of the European Association for Research in Transportation – hEART2025, 10-12 June 2025, Munich, Germany.
  • Paradiso, S., Ziakopoulos, A. & Yannis, G. (2025). “Hierarchical Clustering on Graph Embeddings: A Scalable Approach to Risky Intersections”. Road Safety on Five Continents (RS5C), 3–5 September 2025, Leeds, UK.
  • Paradiso, S., Ziakopoulos, A., Fortsakis P. & Yannis, G. (2026). “Probabilistic Modeling for Node-Based Partitioning of Telematics-Informed Road Networks”. 8th IRTAD International Conference: Better Road Safety Data for Better Safety Performance, 15-17 Athens 2026, Athens, Greece
  • Paradiso, S., Ziakopoulos, A. & Yannis, G. (2026). “A Dual Graph Framework for Edge Embedding and Clustering in Road Safety Analysis”. Transport Research Arena TRA 2026 Conference, 18-21 May 2026, Budapest, Hungary.
  • Paradiso, S., Ziakopoulos, A., Sideris H. & Yannis, G. (2026). “A Graph Transformer Approach for Modeling Crash Occurrence at Intersections Using Telematics-Informed Road Networks”. Road Safety and Simulation 2026 (RSS2026) 23-26 June 2026, Napoli, Italy.
  • Paradiso, S., Ziakopoulos, A., Sideris H. & Yannis, G. (2026). “A Time-Window GNN-Based Network Partition for Identifying High- and Low-Risk Nodes in Road Networks”. World Conference on Transport Research (WCTR2026), 6-10 July 2026, Toulouse, France.

Other Presentations

  • Paradiso, S., Ziakopoulos, A., Fortsakis, P. & Yannis, G. (2025). “AI for road safety monitoring and crash prediction from micro to macro levels”, AI and Horsepower – Porsche Symposium for Scientific and Practical Progress in AI, GSERM Summer School at the University of St. Gallen, Stuttgart, 26 June 2025.

Thesis

  • Simone Paradiso “Validation of opinion dynamics models in the era of social networks.”, Master of Science (MSc) dissertation, Department of Electrical Engineering and Information Technology, University of Naples Federico II, December 2022.

Professional Experience

  • March 2023 – July 2024: Panel Management analyst | Warsaw, Poland
    Be accountable for flawless execution of PM activities, data collection queries and providing accurate, actionable information.

Computer Skills and Software Knowledge

  • Knowledge of Microsoft Office: Word, Excel, PowerPoint, Outlook.
  • Programming Languages: R, Python, Matlab&Simulink.

Foreign Languages

  • Italian (Native language)
  • English (Professional proficiency)

Awards

  • 06/2025: Best Poster Award for the poster titled: “AI for road safety monitoring and crash prediction from micro to macro levels” in the ‘AI and Horsepower – Porsche Symposium for Scientific and Practical Progress in AI’, University of St. Gallen, GSERM Summer School, Stuttgart.

Contact

National Technical University of Athens,

School of Civil Engineering,

Department of Transportation Planning and Engineering

5, Iroon Polytechneiou str., GR-15773, Zografou, Athens

Phone: + 210.772.1575

E-Mail: simone_paradiso@mail.ntua.gr