What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Electrical engineering
His primary areas of study are Real-time computing, Cloud computing, Distributed computing, Efficient energy use and Embedded system.
Pasi Liljeberg combines subjects such as Enhanced Data Rates for GSM Evolution and Computer network, Server with his study of Cloud computing.
Pasi Liljeberg has included themes like Gateway and Mesh networking in his Computer network study.
As a member of one scientific family, Pasi Liljeberg mostly works in the field of Distributed computing, focusing on Link-state routing protocol and, on occasion, Dynamic Source Routing and Static routing.
The study incorporates disciplines such as Scalability, Energy consumption, Wireless sensor network, Wearable computer and Data center in addition to Efficient energy use.
His study on Network on a chip is often connected to Hamming code as part of broader study in Embedded system.
His most cited work include:
- Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things (467 citations)
- Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction (244 citations)
- Using Ant Colony System to Consolidate VMs for Green Cloud Computing (185 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Embedded system, Network on a chip, Distributed computing, Computer network and Efficient energy use.
His Embedded system research incorporates elements of Scalability, Chip, Power management, Dark silicon and Interconnection.
In his study, which falls under the umbrella issue of Network on a chip, Reliability is strongly linked to Fault tolerance.
As part of one scientific family, Pasi Liljeberg deals mainly with the area of Distributed computing, narrowing it down to issues related to the Static routing, and often Destination-Sequenced Distance Vector routing and Dynamic Source Routing.
His Efficient energy use research includes elements of Energy consumption, Quality of service, Real-time computing and Wearable computer.
As a part of the same scientific family, Pasi Liljeberg mostly works in the field of Energy consumption, focusing on Cloud computing and, on occasion, Server.
He most often published in these fields:
- Embedded system (30.00%)
- Network on a chip (25.48%)
- Distributed computing (21.94%)
What were the highlights of his more recent work (between 2017-2021)?
- Efficient energy use (11.94%)
- Wearable computer (4.84%)
- Real-time computing (10.32%)
In recent papers he was focusing on the following fields of study:
Pasi Liljeberg spends much of his time researching Efficient energy use, Wearable computer, Real-time computing, Distributed computing and Energy consumption.
His Efficient energy use research integrates issues from Risk analysis and Systems engineering.
The various areas that Pasi Liljeberg examines in his Real-time computing study include Edge computing, Enhanced Data Rates for GSM Evolution, Control, Early warning score and Photoplethysmogram.
His Distributed computing research includes themes of Resource, Dynamic priority scheduling, Heuristic, Cloud computing and Multi-core processor.
The concepts of his Cloud computing study are interwoven with issues in Computer network, Server and Internet access.
His Energy consumption study integrates concerns from other disciplines, such as User-centered design and Resilience.
Between 2017 and 2021, his most popular works were:
- Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things (467 citations)
- An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning (65 citations)
- Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (65 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Electrical engineering
His scientific interests lie mostly in Wearable computer, Cloud computing, Wearable technology, Real-time computing and Distributed computing.
The Wearable computer study which covers Sensor node that intersects with Wireless sensor network and The Internet.
Pasi Liljeberg interconnects Default gateway and Server in the investigation of issues within Cloud computing.
His Wearable technology research incorporates themes from Energy consumption, Quality of service, Efficient energy use and Gesture.
He has researched Efficient energy use in several fields, including Computer security and Scalability.
His Distributed computing study combines topics from a wide range of disciplines, such as Multi-core processor, Power management, Task and Dynamic priority scheduling.
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