DSAIT stands for “Data Science and Artificial Intelligence for Transport”. Our vision is to revolutionize mobility and transport through cutting-edge AI solutions, creating smarter, more efficient, resilient, and sustainable transportation systems. By harnessing the power of data science and artificial intelligence, we aim to transform how transport networks operate, making them more adaptive, intelligent, and future-ready.
We specialize in the design and development of AI-driven solutions for a wide range of transport and traffic operations, including short-term traffic forecasting, large-scale traffic management, and future mobility planning. Our work is driven by a commitment to enhancing real-time decision-making, optimizing transport infrastructure, and enabling seamless, data-driven mobility solutions that improve urban mobility for passengers while enhancing the efficiency and livability of cities.
Our research is centered around four key themes: traffic forecasting, traffic management, traffic modeling and transport planning. Find out more…
About Us
Eleni Vlahogianni
Professor
Eleni (Elena) Mantouka
PhD, Senior Researcher
Panagiotis Fafoutellis
PhD, Senior Researcher
Emmanouil (Manos) Kampitakis
PhD, Senior Researcher
Charis Chalkiadakis
PhD, Researcher
Konstantinos Katzilieris
Researcher, PhD Candidate
Marios Giouroukelis
Researcher, PhD Candidate
Katerina Vakrinou
Jr. Researcher, PhD Candidate
Katerina Papadatou
Jr. Researcher, PhD Candidate
Konstantinos Siatras
Financial Manager
Vasiliki Mantouka
























































