Advancing research, innovation, and education through strong partnerships and cutting-edge expertise.
The Laboratory of Artificial Intelligence and Multi-Agent Systems (AI-MAS) has been in the front run of AI research, teaching, and application development since its founding in 2001. We believe that AI models and technologies can improve users’ experience and systems’ performance in a plethora of domains, such as medical systems and eHealth, learning platforms, web services, e-business, assisted living, and many others.
Cutting-edge research in machine learning, computer vision, and natural language processing shaping the future of intelligent systems.
We partner with other academia and industry to drive breakthrough solutions in AI-powered technologies and real-world applications.
From undergraduate to PhD, our programs offer hands-on experience, mentorship, and access to pioneering AI research.
Cutting edge research in computer networking and operating systems.
Experts in multipath protocols (Multipath TCP, UET), lightweight virtualization (LightVM, Unikraft), network verification (Symnet, Vera, bf4) and indoor localization (AoA)
Best paper awards at Sigcomm and NSDI. Jochen Liedtke Young Researcher Award 2018. 28K citations on Google Scholar
Involved in standardization of Ultra Ethernet and actively developing the UCCL communication library
The 3D UPB group includes 10 academia professors and researchers, aproximately 20 active PhD students, and a large number of alumni and industry experts.
From imagination to impact, create and develop innovative solutions in e-Health, e-Culture and e-Learning leveraging XR and AI technologies, and gamification.
Integrated curricula over bachelor (computer graphics, software engineering, game design and gamification) and masters level (advanced computer graphics, VR and AR, gamdev), and the largest Romanian technical summer school - 3DPub.
We work with leading tech companies for a pragmatic education oriented towards technical skills, ambition and creativity.
The NLP Research Group focuses on advancing models for human language understanding and generation, with a strong emphasis on large language models (LLMs) and their interpretability. Our work spans text processing, machine learning for language, and large-scale linguistic data analysis. We combine theoretical insights with applied research in multilingual, multimodal, and responsible AI contexts. The group collaborates with academia and industry to develop and evaluate robust, high-impact NLP systems.
We design, fine-tune, and evaluate state-of-the-art NLP architectures, including large language models for text understanding, dialogue systems, and generation in multilingual and domain-specific environments.
Our research integrates linguistic theory, neural architectures, and LLM-based representations to create interpretable, data-efficient, and adaptive language processing systems.
We engage in joint projects and applied studies with industrial and academic partners, exploring practical applications of LLMs and NLP technologies in conversational AI, education, and digital transformation.
01 November 2025 
