News

Data Science Lab is excited to participate in this new EU-funded research project titled VesselAI (Enabling Maritime Digitalization by Extreme-scale Analytics, AI and Digital Twins). The expected outcome from the project will be a unique maritime Big Data framework for processing extreme volumes of data from different sensors, ship systems, weather services, AIS data, cameras,…

Muhammad Adnan Transportation Research Institute, Hasselt University (Track & Know Consortium member) pdf visit link

Early November, Track & Know's final event took place during the European Big Data Value Forum 2020 conference. Track & Know was involved in 4 sessions during this 3-day flagship event of the European Big Data and Data-Driven AI Research and Innovation community organized by the Big Data Value Association (BDVA) and the European Commission…

Prof. Panos Kalnis, KAUST "How to build scalable SPARQL engines for Big RDF data", 26 Nov. 2020 @ 10:15-12:00 - MS teams: link

Vangelis Katsikaros, Adzuna "Information technology: trends and the job market", 24 Nov. 2020 @ 12:15-14:00 - MS teams: link

Prof. Emmanuel Stefanakis, U. Calgary "Online map service providers: mapping the Globe using tiled maps", 20 Nov. 2020 @ 16:15-18:00 - MS teams: link

Prof. Dimitris Zissis, U. Aegean & MarineTraffic.com "Maritime data analytics: lessons learnt (& new challenges) from MarineTraffic.com", 19 Nov. 2020 @ 16:15-18:00 - MS teams: link

The Data Science Lab offers a list of suggested diploma theses to undergraduate and postgraduate students in subjects relative to the research interests of the laboratory. For more information, contact the person in charge of each diploma thesis. Catalogue