News

Prof. Yannis Theodoridis and Dr Ibad Kureshi represented the Track & Know project at this years EU Big Data Value Forum, held from 14th to 16th October in Helsinki, Finland. The Track & Know project was showcased once again as a top five success story during the Best Success Story and I-Space Label 2019 Ceremony session. Track & Know was also present at the Big Data Value Association booth. This opportunity was used to create new clustering and liaison activities with other Big Data PPP and BDVA related projects. More to come on these activities soon! #EU #horizon2020 #project #innovation - website

Our team participates in the 2019 Researchers' Night at the National Technical University of Athens. We are waiting for you on Friday 27/9 5pm-10pm in the main building of NTUA. - link

Data Science Lab participated at the ECML-PKDD workshop organised by Master Project H2020 with two research paper presentations and one keynote talk. Read more at website

Prof. Aggelos Pikrakis received the prestigious EURASIP's Meritorious Service Award for "... his fundamental activities in machine learning and deep neural networks and for his continuous commitment with EURASIP in the last 13 years in different roles, significantly contributing to the modernization of EURASIP’s IT infrastructure" Congrats !!

AIT Lecture Series: Mobility Systems: "Learning from our movements – A roadmap towards mobility data analytics" invited talk by Yannis Theodoridis. - website

Data Science Lab (with Harris Georgiou) participates at Athens Science Festival. We'll be glad to meet you there and chat about AI, ML, Big Data, etc. - website

TrackandKnow EU_H2020, 4th Plenary Meeting of the project is underway at University of Piraeus, Greece. 26-27 Feb., 2019.

EU project Track&Know increases the efficiency of Big Data applications in transport, mobility, motor insurance and healthcare sectors in urban space - Track&Know press release, summer 2018.

DataStories will be there! IEEE Big Data Conf., Seattle - WA, USA; this year's acceptance rate < 20%. BigD542 Hot Spot Analysis for Big Trajectory Data Panagiotis Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, and Yannis Theodoridis - website