What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Central processing unit
His primary areas of study are Embedded system, Integrated circuit, Real-time computing, Parallel computing and Electronic engineering.
His work carried out in the field of Embedded system brings together such families of science as Power optimization, Energy consumption, Battery, Power management and Software.
Robert P. Dick interconnects Control engineering, Granularity, Distributed computing and Floorplan in the investigation of issues within Integrated circuit.
His Real-time computing study integrates concerns from other disciplines, such as System on a chip, MPSoC, Simulation, Linear programming and Integer programming.
The concepts of his Parallel computing study are interwoven with issues in Processor scheduling and Job shop scheduling.
His Electronic engineering research incorporates elements of Speedup, High-level synthesis, Reliability and Asynchronous communication.
His most cited work include:
- Accurate online power estimation and automatic battery behavior based power model generation for smartphones (1024 citations)
- TGFF: task graphs for free (782 citations)
- Demo: indoor localization without infrastructure using the acoustic background spectrum (228 citations)
What are the main themes of his work throughout his whole career to date?
Robert P. Dick focuses on Embedded system, Real-time computing, Integrated circuit, Energy consumption and Electronic engineering.
His Embedded system research incorporates themes from Memory management and Multiprocessing, Software, Embedded operating system, Operating system.
He focuses mostly in the field of Multiprocessing, narrowing it down to topics relating to System on a chip and, in certain cases, Scheduling.
Robert P. Dick works mostly in the field of Real-time computing, limiting it down to concerns involving Simulation and, occasionally, Efficient energy use.
His studies deal with areas such as Reliability engineering and Floorplan as well as Integrated circuit.
Robert P. Dick combines subjects such as Frequency scaling and Integrated circuit packaging with his study of Electronic engineering.
He most often published in these fields:
- Embedded system (25.76%)
- Real-time computing (18.69%)
- Integrated circuit (12.12%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (4.55%)
- Real-time computing (18.69%)
- Reliability engineering (8.08%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Real-time computing, Reliability engineering, Energy consumption and Machine learning.
His research investigates the connection between Real-time computing and topics such as Key that intersect with problems in Wearable computer, Simulation, Wearable technology and Accelerometer.
The study incorporates disciplines such as Workload and Transient in addition to Reliability engineering.
His biological study spans a wide range of topics, including Dynamic priority scheduling, Multi processor and Chip.
Robert P. Dick works mostly in the field of Energy consumption, limiting it down to topics relating to Machine vision and, in certain cases, Process, Frame, Column, Deep learning and Pipeline, as a part of the same area of interest.
In his study, Robert P. Dick carries out multidisciplinary Resource management and Scheduling research.
Between 2015 and 2021, his most popular works were:
- Improving System-Level Lifetime Reliability of Multicore Soft Real-Time Systems (30 citations)
- Gazelle: Energy-Efficient Wearable Analysis for Running (22 citations)
- An on-line framework for improving reliability of real-time systems on “big-little” type MPSoCs (13 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Computer network
Real-time computing, Energy consumption, Machine vision, Workload and Key are his primary areas of study.
In his papers, Robert P. Dick integrates diverse fields, such as Real-time computing and Channel capacity.
His Energy consumption research is multidisciplinary, incorporating elements of Deep learning, Noise reduction, Autoencoder, Artificial intelligence and Pipeline.
His study in Machine vision is interdisciplinary in nature, drawing from both Image resolution, Image sensor, Process, Frame and Column.
He has included themes like Reliability engineering and Heuristic in his Workload study.
Robert P. Dick has researched Key in several fields, including Wearable technology, Wearable computer, Accelerometer, Simulation and Efficient energy use.
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