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NetLearn - Intelligent Network Technologies and Networked Learning Environments

Research Group

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RESEARCH DOMAINS

Smart Networking
& Resource Optimization

RESEARCH DOMAINS

Smart Networking
& Resource Optimization

RESEARCH DOMAINS

Smart Networking
& Resource Optimization

RESEARCH DOMAINS

Smart Networking
& Resource Optimization

Machine learning for intelligent routing, resource allocation and adaptive protocols in wireless and optical networks.

RESEARCH DOMAINS

Data Processing
& Smart Sensors

RESEARCH DOMAINS

Data Processing
& Smart Sensors

RESEARCH DOMAINS

Data Processing
& Smart Sensors

RESEARCH DOMAINS

Data Processing
& Smart Sensors

Web mining, network analytics and signal processing for efficient smart sensor networks.

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RESEARCH DOMAINS

AI-Powered
Personalized Learning

RESEARCH DOMAINS

AI-Powered
Personalized Learning

RESEARCH DOMAINS

AI-Powered
Personalized Learning

RESEARCH DOMAINS

AI-Powered
Personalized Learning

AI and machine learning for adaptive, user-friendly online education.

RESEARCH DOMAINS

STEM Learning with Emerging Tech

RESEARCH DOMAINS

STEM Learning with Emerging Tech

RESEARCH DOMAINS

STEM Learning with Emerging Tech

RESEARCH DOMAINS

STEM Learning with Emerging Tech

IoT, computer vision and AI for interactive real-time and virtual STEM environments.

Research Domains

Indicative research objects, based on the recent research activity of the team members, are:

Smart Networking & Resource Optimization

  • Utilize machine learning for intelligent routing and resource allocation to enhance throughput in wireless and optical networks.
  • Design adaptive protocols to improve reliability and performance in next-generation network architectures.
  • Apply data science, machine learning, and web mining to optimize network resources, enable informed decision-making, and support proactive maintenance.

Data Processing & Smart Sensors

  • Using advanced signal processing and wireless communication to create efficient and responsive smart sensor systems.
  • Deploying smart sensors to track environmental conditions in schools and universities for a safer and optimized learning space.
  • Integrating smart sensors and AI to enhance learning environments with instant feedback and interactive monitoring.

AI-Powered Personalized Learning

  • Develop AI-powered tutoring systems using machine learning and signal processing to analyze student interactions and provide personalized feedback.
  • Apply deep learning, data science, and AI to create adaptive teaching systems and personalized educational experiences.
  • Combine AI, data science, and user experience design to develop engaging educational platforms and mobile apps for improved learning experiences.

STEM Learning with Emerging Tech

  • Leveraging IoT, computer vision, and AI to develop interactive learning spaces with personalized student support.
  • Using advanced technologies to enhance educational content delivery through intelligent learning environments.
  • Integrating ICT, machine learning, and computer vision to create immersive virtual environments for hands-on STEM education.

Join us

We are looking for innovative researchers, engineers and developers to join our team and contribute to groundbreaking projects in AI-powered education, smart networks and immersive technologies.

5th Panhellenic Conference

Conference Presentation

The actions of the CTI "Diofantos" that promote the use of Artificial Intelligence in Education were presented at the 5th Panhellenic Conference "E-Learning and Open Educational Resources", Corinth, March 29-30, 2025, organized by the Department of Social and Educational Policy of the University of the Peloponnese and the Pedagogical Department of Primary Education of the National and Kapodistrian University of Athens, in collaboration with the Hellenic Association of ICT in Education (ETPE).

NetLearn Research Team Submits Innovative Proposals for EU and National Funding

Innovation programs

The research team NetLearn has submitted a series of groundbreaking proposals for funding under key European and national research and innovation programs. These proposals aim to advance digital education, artificial intelligence, and immersive learning technologies across various domains, including maritime safety, STEM education, road safety, and digital accessibility.

The NetLearn Research Group congratulates its new postdoctoral members !

NetLearn Group

We are pleased to announce that three members of the NetLearn Group, Dr. Niki Patrinopoulou, Dr. Charalampos Liapis and Dr. Konstantinos Kovas, received their PhD diplomas from the University of Patras at the swearing-in ceremony held on Wednesday, March 19, 2025 at the Congress Center of the University of Patras.

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