What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Artificial intelligence
The scientist’s investigation covers issues in Distributed computing, Network on a chip, Computer network, Real-time computing and Embedded system.
His Distributed computing research also works with subjects such as
- Link-state routing protocol that intertwine with fields like Dynamic Source Routing,
- Adaptive routing that intertwine with fields like Multicast.
He combines subjects such as Routing, Scalability, Latency, Router and Fault tolerance with his study of Network on a chip.
His research ties Mesh networking and Computer network together.
Juha Plosila has researched Real-time computing in several fields, including Energy consumption, Stochastic hill climbing, Algorithm design and Cloud computing.
The concepts of his Embedded system study are interwoven with issues in Frequency scaling, Power management, Dark silicon and Error detection and correction.
His most cited work include:
- Timepix3: a 65K channel hybrid pixel readout chip with simultaneous ToA/ToT and sparse readout (218 citations)
- Using Ant Colony System to Consolidate VMs for Green Cloud Computing (185 citations)
- Network on Chip Routing Algorithms (104 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Embedded system, Distributed computing, Network on a chip, Computer network and Asynchronous communication.
As part of the same scientific family, he usually focuses on Embedded system, concentrating on Fault tolerance and intersecting with Reliability.
His work carried out in the field of Distributed computing brings together such families of science as Static routing, Geographic routing, Routing protocol and Control reconfiguration.
His Network on a chip research incorporates elements of Routing, Energy consumption, Algorithm design, Parallel computing and Network interface.
The study incorporates disciplines such as Real-time computing and Cloud computing in addition to Energy consumption.
His work deals with themes such as Computer architecture, Very-large-scale integration, Formal methods and Modular design, which intersect with Asynchronous communication.
He most often published in these fields:
- Embedded system (31.01%)
- Distributed computing (24.06%)
- Network on a chip (23.19%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (6.38%)
- Swarm behaviour (2.90%)
- Computer vision (2.32%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Swarm behaviour, Computer vision, Event and Distributed computing.
His work on Feature selection as part of general Artificial intelligence study is frequently linked to Consciousness, therefore connecting diverse disciplines of science.
His research on Swarm behaviour also deals with topics like
- Control theory that intertwine with fields like Collision avoidance, Morphing, Collision and Energy consumption,
- Reduction which is related to area like Centroid and Energy.
His Energy consumption research is multidisciplinary, relying on both Computer hardware, Service-level agreement, Resource, Heuristic and PlanetLab.
His study in Event is interdisciplinary in nature, drawing from both Pixel, High dynamic range and Asynchronous communication.
Juha Plosila has included themes like Scalability, Dependability, Reliability and Cloud computing in his Distributed computing study.
Between 2016 and 2021, his most popular works were:
- Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (65 citations)
- Swarms of Unmanned Aerial Vehicles — A Survey (40 citations)
- A Survey on Odometry for Autonomous Navigation Systems (34 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Artificial intelligence
Juha Plosila spends much of his time researching Swarm behaviour, Drone, Collision avoidance, Artificial intelligence and Distributed computing.
In his study, Morphing and Efficient energy use is strongly linked to Control theory, which falls under the umbrella field of Swarm behaviour.
His Collision avoidance research includes elements of Node, Robotics and Systems engineering.
The Artificial intelligence study combines topics in areas such as Frame and Computer vision.
His Distributed computing study deals with Cloud computing intersecting with Container.
His biological study spans a wide range of topics, including Energy consumption, Service-level agreement, Resource and Heuristic.
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