Hafiz Faheem Shahid

ORCID: 0009-0005-3350-0276
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About
Contact & Profiles
Research Areas
  • Software-Defined Networks and 5G
  • IoT and Edge/Fog Computing
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Memory and Neural Computing
  • Advanced X-ray and CT Imaging
  • Cloud Computing and Resource Management
  • Artificial Intelligence in Healthcare and Education
  • Blockchain Technology Applications and Security

University of Oulu
2023-2025

In the age of Internet Things (IoT) and expanding computing continuum, it's crucial to manage share resources at edges networks. This position paper presents a new concept known as 'semantic slicing'. approach harnesses power artificial intelligence (AI), wireless networks, edge computing, sensing technologies enable novel applications, optimize resource allocation, streamline data processing decision-making across complex systems spanning continuum. Semantic slicing applies deep...

10.1109/secon58729.2023.10287519 article EN 2023-09-11

Edge computing and Internet of Things (IoT) avail a technological environment where everybody (human, objects) can join the internet to process, store, collect exchange data from surrounding environment. Embedding large scale IoT applications network distributed computational resources has become challenging part edge-cloud continuum paradigm. Due high distance between local devices cloud, there would be an issue for latency sensitive energy-intensive like healthcare (i.e., patient remote...

10.1109/percomworkshops59983.2024.10503485 article EN 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) 2024-03-11

The rapid growth of the Internet Things (IoT) applications inflicts high requirements for computing resources and network bandwidth. A growing number service providers are applying edge-cloud to improve quality their services. Deploying IoT optimal nodes minimize energy consumption enhance system performance remains an open challenge. In this paper, we present intelligent orchestration concept breaking down into granular microservices, called nanoservices, deploying them in energy-aware...

10.1145/3703790.3703831 preprint EN 2024-11-19
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