April 26, 2024
EESTech Challenge 2024
Topic: "Artificial Intelligence Applications", focusing on Generative AI
Topic: "Artificial Intelligence Applications", focusing on Generative AI
System Development of Silicon Photonics Transceivers for Future Upgrades of High Energy Physics Expe...
MIMO Optical Satellite Systems: Power Allocation with Classical Optimization Methods and with Deep L...
Development of new combined biotechnological techniques and algorithms for the evaluation of cardiov...
Presurgical human brain mapping with magnetic resonance imaging
Adjustable and Adaptable Systems for Crisis Management Support, Monitoring and Control of Operationa...
Intelligent Services for Countering Domain Name System (DNS) Cyber Attacks in Software-Defined Netwo...
The overall objective of ENDORSE is to develop and validate a safe, efficient and integrated indoor robotic fleet for logistic applications in healthcare and commercial spaces.
The Best Demo Award of the Rule Challenge 2018 was awarded to Theodoros Mitsikas (PhD Candidate, ECE NTUA), Sofia Almpani (PhD Candidate, ECE NTUA), Assistant Professor Petros Stefaneas, Professor Panayiotis Frangos and Dr Iakovos Ouranos.
SPIN - Space Week is a series of actions that reinforce our vision for the development of the Space Sector in Greece.
CanSat in Greece is being organised for the third consecutive year on a national level.
The overall aim is to deliver a radically new cost-effective virtual coach, consisting of a hologram based surrogate balance physiotherapist, an augmented reality cognitive game, combined with auditory exercises and a physical activity planner.
iDistributedPV´s aim is developing affordable integrated solutions to enhance the penetration of distributed solar PV (e.g. households/larger buildings/park areas).
The international competition is an opportunity for students and young professionals to share their views and analysis on past, present and future of entrepreneurship and investment within the space sector.
Nobel Grid provides advanced tools and ICT services to all actors in the Smart Grid and retail electricity market in order to ensure benefits from cheaper prices, more secure and stable grids and clean electricity.
The Smart grids Research Unit (Smart RUE) of the School of Electrical and Computer Engineering of the NTUA participates in CROSSBOW project.