Intelligent Systems
We know how to torture data to make a full confession. We master various torture instruments: CNN, RNN, GNN, SVM, PCA, GradientBoosting Trees.
Adrian Petru Groza
Professor
Research Conducted in this Laboratory
5G Scalable Hubs for Accessible and Resilient Education - [5G-SHARE]
The 5G-SHARE project represents a transformative, strategic leap in educational and research technology across Europe, uniting a consortium of 9 partners from 4 countries (Ireland, Romania, Czech Republic, and Italy), including 4 leading universities. The initiative focuses on deploying and interconnecting 4 advanced 5G Standalone (SA) Mobile Private Networks (MPNs), 3 of which will be newly installed, as Hybrid or Private, tailored to the specific 5G development needs of each country. By interlinking these networks, 5G-SHARE fosters collaborative, interoperable and secure scenarios that enhance cross-border data exchange, research innovation, and real-time applications. This infrastructure will support the implementation of 7 pioneering use cases spanning Extended Reality (XR) in education, Internet of Things (IoT) advancements, 3D content streaming, Artificial Intelligence (AI)-driven applications, and next-generation Post-Quantum Cryptography (PQC). These use cases will leverage the ultra-low latency and high-speed capabilities of 5G to redefine industry standards, cybersecurity frameworks, and innovative learning methodologies. A core aspect of 5G-SHARE is knowledge-sharing and large-scale pilot adoption. Each use case will involve multi-partner collaboration, particularly in addressing security challenges and establishing best practices for replicability across diverse campus environments. A flagship initiative within the project, the Hybrid XR Learning use case, will be jointly developed across all university partners, engaging a vast network of students and faculty members while contributing to a shared content library for immersive education. 5G-SHARE will set a new benchmark for high-impact 5G-powered education and research across Europe, deploying scalable, large scale, cross-border pilots involving thousands of users that drive innovation, connectivity, and cybersecurity while shaping the future of EU society, academia, industry, and digital ecosystems.
AI4INO: Integrated infrastructure for research and innovation in AI
AI4INO aims to develop an integrated regional research-development-innovation infrastructure dedicated to the testing, validation, and adoption of Artificial Intelligence (AI) technologies, conceived as a reference hub for collaboration among academia, the private sector, and public authorities in the North-West Region. The infrastructure will be oriented toward supporting AI-based applications with an immediate and visible impact on society and toward stimulating innovation processes in strategic fields, in line with smart specialization priorities and with the objectives of the National Strategy for Research, Innovation and Smart Specialisation 2022-2027, as well as the specific objectives of the North-West Regional Smart Specialisation Strategy (RIS3 N-V) 2021-2027.
HRIA - Romanian HUB for AI
The goal to establish and operationalize the Romanian Hub for Artificial Intelligence (HRIA) for research, development, and innovation in the field of Artificial Intelligence (AI), by developing an attractive and competitive research ecosystem that brings together the efforts of the academic and business environments, with the aim of producing original scientific research, transferring research results to industry and society, developing new products and services, and generating a core of knowledge and development in Artificial Intelligence integrated into the European Research Area (ERA).
Adobe Learning Funds - Agentic AI
Adobe’s Learning Funds supports PhD research that advances state-of-the-art intelligent systems. This grant aims to fund doctoral research at TUCN focused on multi-agent systems for collaboration and orchestration, with the goal of improving how multiple autonomous agents coordinate, share knowledge, and synthesize their outputs into high-quality responses for end users.
