New paper | Elsevier
You can find below our recently accepted work in Elsevier Neurocomputing, entitled “Self-supervised visual learning in the low-data regime: A comparative evaluation” and authored by S. Konstantakos, J. Cani, I. Mademlis, D. I. Chalkiadaki, Y. M. Asano, E. Gavves and G. Th. Papadopoulos. Link: https://www.sciencedirect.com/science/article/pii/S0925231224019702?via%3Dihub This paper constitutes a collaborative work between the Department of […]
New paper | IEEE TTS
You can find below our recently accepted work in IEEE Transactions on Technology and Society (IEEE TTS), entitled “The Invisible Arms Race: Digital Trends in Illicit Goods Trafficking and AI-Enabled Responses” and authored by I. Mademlis, M. Mancuso, C. Paternoster, S. Evangelatos, E. Finlay, J. Hughes, P. Radoglou-Grammatikis, P. Sarigiannidis, G. Stavropoulos, K. Votis and […]
IEEE Big Data Workshop 2024
Happy to co-chair (together with Panagiotis Sarigiannidis and Chrysostomos Symvoulidis) the “2nd workshop on Big Data Applications for Fight against Crime and Terrorism” at IEEE Big Data 2024 in Washington, D.C. The workshop is supported by the Ceasefire Project, while I am also a co-author of 6 accepted papers, which: List of papers:
IIT-HUA international joint PhD program
2 fully funded doctoral positions in robotics IIT HRI² lab 30, Via Morego, Genova, Italy Harokopio University of Athens Omirou 9 Tavros, Athens, Greece (Short term) Full time Skills: Computer Science, Deep Learning, Informatics, Machine Learning, PyTorch, Python, Research Skills PhD positions The Istituto Italiano di Tecnologia (Dr. Arash Ajoudani, Director of the Human-Robot Interfaces […]
Call for papers | EEITE ’25
6th International Conference in Electronic Engineering & Information Technology (technically co-sponsored by IEEE Greece Section)June 4-6, 2025Chania – Crete, Greece Special session: “Recent advancements in robotic perception, learning, interaction, communication and control technologies”🌍 Link: https://eeite.hmu.gr/special-session-2/🗓 Submission deadline: February 9, 2025 (provisional) 🚀 Supported by EU RnD projects: TRIFFID, TORNADO, SOPRANO, NANCY, TALON and INTACT 📚 […]
Invited talk | Dr. Efstratios Gavves
We were particularly honored yesterday to host Dr. Efstratios Gavves (Assoc. Prof. at University of Amsterdam) to our department for an invited talk regarding “Grounding Foundation Models in Reality with Physics- and Causality-informed World Models”. The lecture exhibited increased participation of students and researchers, stimulating also fruitful discussions and an interesting Q&A session afterwards. We […]
INVITED TALK ALERT | Dr. Efstratios Gavves
We are very happy to share that Dr. Efstratios Gavves (Assoc. Prof. at University of Amsterdam) will visit our department for an invited talk regarding “Grounding Foundation Models in Reality with Physics- and Causality-informed World Models”. Logistics:📅 Date: Thursday Nov-21, 7pm (Greece time)🏢 Location: Auditorium hall (1st floor), Department of Informatics and Telematics, Harokopio University, […]
TRIFFID Physical Kick off meeting
Happy to host today and tomorrow at the premises of the Harokopio University of Athens the kick-off meeting of TRIFFID Project (auTonomous Robotic aId For increasing FIrst responDers efficiency), where I have the honor to act as the project coordinator. Very fruitful discussions take place and looking forward to the implementation phase.
6 papers accepted to IEEE Big Data 2024
Happy to share that I am a co-author of 6 papers accepted to IEEE Big Data 2024, in the context of the “2nd workshop on Big Data Applications for Fight against Crime and Terrorism”, organized by the Ceasefire Project. The works: List of papers:
GANNDALF Kick off meeting
Happy to participate today and tomorrow to the kick-off meeting of project GANNDALF (A Ground-breAking collaboratioN framework realizing the next era of cybercrime Detection And muLtistakeholder investigation For LEAs, judicial ecosystems, and citizens.), hosted by Polish Platform for Homeland Security in Warsaw, Poland. Looking forward to the implementation phase.
