HUN-REN-BME Cloud Applications Research Group
Our research group is dedicated to exploring a wide spectrum of cutting-edge technologies, ranging from the foundational layers of networks and advanced cloud computing architectures to comprehensive software development and operations management. What truly sets us apart is our relentless focus on harnessing the power of artificial intelligence (AI) across these diverse fields, ensuring innovative and impactful solutions. Our projects span a dynamic array of applications, including Advanced Driver-Assistance Systems (ADAS), which are shaping the future of autonomous driving. We also delve into the immersive world of mixed reality, providing critical support in areas like remote rendering, environmental sensing, and precision tracking. In addition, we’re at the forefront of developing innovative solutions for sports analytics, enabling smarter performance insights, and tackling the complex challenges of network orchestration to ensure seamless connectivity. We’re proud to have partnered with several major corporations and actively contributed to numerous EU-funded projects. Yet, we’re always on the lookout for fresh opportunities to collaborate, whether it’s with ambitious startups, forward-thinking enterprises, or innovative research teams. If you share our vision for driving technological advancement, we’d love to hear from you and explore how we can work together to shape the future.
Software optimization and application development:
Microservices-based software architecture, development and operation methods for software operated in distributed cloud environments (cloud, edge cloud, IoT devices)
Support for latency-sensitive cloud applications, dynamic reconfiguration of distributed software, optimal design of runtime units
Different variants of extended reality (eXtended Reality) applications: Virtual / Augmented / Mixed Reality (VR/AR/MR); connection with cloud-based backend services (environmental sensing, interpretation, remote rendering)
Self-driving vehicles, ADAS (Advanced Driver Assistance System) solutions, drone control
Artificial Intelligence:
Deep neural networks (CNN for image processing, RNN for time series data analysis, GNN for connection network analysis, Transformer LLM for software documentation interpretation, RL for complex optimization tasks, FL for distributed datasets); statistical machine learning techniques
Using AI for computing and network infrastructure management
Providing efficient, general AI services for applications
Context-specific / location-based AI services for different applications, “edge AI”
Cloud / Edge Technologies:
Orchestration and scheduling algorithms and prototypes in Real Systems (Kubernetes, OpenStack), network-aware solutions
Optimization of cloud and network resource usage
Automatic resource scaling methods, proactive AI-based algorithms
Serverless technologies, Function/Container as a Service approaches on public and open-source platforms, support for latency-sensitive and reliable services
Infocommunication technologies:
Design, optimization, and integration of wireless, mobile 5G/6G, wired, non-terrestrial networks into 6G mobile networks
Non-spectrum licensed radio techniques and their LAA integration (License Assisted Access), IoT radio techniques and communication solutions
Application of techniques aimed at increasing availability, combined use of the above communication solutions to achieve ultra-high availability
Software-Defined Networking (SDN), Network Function Virtualization (NFV)
Design of cloud- and AI-native 6G network and its main components