GiRI Faculty Principal Research Fields

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GiRI Faculty Principal Research Fields

1. 6G & Next-Generation Network Architecture
This group focuses on the foundational design and infrastructure of future mobile networks.

Key Concepts: 6G Architecture, Access Network, 5G and beyond  
Emerging Technologies: AI-native Cores, Network Slicing, Open-RAN (O-RAN), 6G Three-dimensional Networking  
Physical Layer: Terahertz (THz) Communications, Intelligent Reflecting Surfaces (IRS), 

                           Integrated Sensing and Communication (ISAC), Spectrum Management  

2. Cloud, Edge Computing & Softwarization
Focuses on the transition from hardware-centric to software-defined and virtualized infrastructures.

Virtualization: SDN (Software Defined Networking), NFV (Network Function Virtualization), RAN Virtualization, 

                      Programmable Data Planes  
Computing Paradigm: Multi-Cloud Federation, Cloud Continuum, Edge/Fog Computing, Cloud-native Networks  
Optimization: Microservice-based SDN/NFV, Resource Optimization, Network Services Softwarization  

3. AI, Machine Learning & Autonomics
Focuses on "AI-native" networking where AI is used to optimize and manage complex systems autonomously.

Advanced AI: Agentic AI for Cloud Networking, Generative AI, Large Language Model (LLM) Integration  
Intelligence & Automation: AI/ML-for Resource Management and Orchestration, Self-organizing/Self-healing Networks,

                                          Zero-touch Networks  
Data Analytics: Big Data Analytics, Traffic Characterization, Digital Twins  

4. Security, Privacy & Network Trust
Covers the protection of networks against evolving threats and the implementation of trust-based architectures.

Core Security: Intrusion Detection/Prevention Systems (IDS/IPS), Malware/Ransomware detection, Deep Packet Inspection  
Next-Gen Trust: Post-quantum Cryptography, Blockchain/Web 3.0, Distributed Ledger Applications  
Domain-Specific: IoT/Edge Security, Smart-grid Security, Privacy-preserving ML, Identity Management  

5. IoT, IIoT & Cyber-Physical Systems
Focuses on the connectivity and control of billions of devices across various industries.

Connectivity: Industrial IoT (IIoT), Internet of Things and Sensor Networks, Critical IoT for Industrial Applications  
Systems: Cyber-physical Systems (CPS), Design Automation for IoT Devices, Circuits and Systems for IoT  
Real-time Control: Deterministic & Ultra-Low-Latency Networking (TSN), Robotic Systems  

6. Non-Terrestrial Networks (NTN) & Mobility
Extends connectivity beyond the ground to space, air, and sea.

Aerospace: Satellite Networks, UAS/Drone Networks, HAPS (High Altitude Platform Stations)  
Transportation: Vehicular Networks (V2X), UAV Networking, Airborne and Space Radar Systems  

7. Quantum Communications & Sensing
Explores the use of quantum mechanics for ultra-secure and high-performance networking.

Networking: Quantum Key Distribution (QKD), Quantum Internet Architectures, Quantum Communications and Networking  
Sensing: Quantum Sensing and Communications  

8. Internet of Sounds (IoS) & Audio Engineering
A specialized track focusing on the intersection of audio processing and networked environments.

Audio Infrastructure: 5G/6G Architectures for the Internet of Sounds, Protocols and Exchange Formats for IoS  
Applications: Networked Music Performances, Musical XR, Smart Musical Instruments, Networked Immersive Audio  
Intelligence: Model Compression for Real-time AI for Audio, Music Information Retrieval‎  

9. Sustainability & Green Networking (ESG)
Covers technologies aimed at reducing the environmental footprint of ICT.

Energy Efficiency: Energy-Efficient Data Centers and Networks, Green Networking for the Internet of Sounds  
Resource Management: Dynamic Power Management, Renewable-powered Sites, Carbon Footprint Minimization  

10. Biomedical & Smart Healthcare Systems
The application of ICT in healthcare and life sciences.

Healthcare: IoT-Enabled Smart Healthcare, Remote Patient Management, Smart Hospitals  
Bio-Analytics: Personalized Medicine, Biomedical Data Analytics, Assistive Technologies