What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Computer network
Xiaobo Sharon Hu mostly deals with Scheduling, Electronic engineering, Electronic circuit, Energy consumption and CMOS.
His Scheduling study incorporates themes from Control system, Multiprocessing, MPSoC and Mathematical optimization.
His study in Electronic engineering is interdisciplinary in nature, drawing from both Quantum cellular automaton, Cellular automaton, Nanomagnet and Magnetic circuit.
His Electronic circuit study combines topics from a wide range of disciplines, such as Field-effect transistor, Transistor and Logic gate.
His Energy consumption study incorporates themes from Real-time computing, Efficient energy use, Least slack time scheduling and Voltage.
His studies in CMOS integrate themes in fields like Transconductance and MOSFET.
His most cited work include:
- Task scheduling and voltage selection for energy minimization (340 citations)
- Enhancement mode AlGaN/GaN HFET with selectively grown pn junction gate (157 citations)
- Nanomagnet logic: progress toward system-level integration. (142 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Electronic engineering, Scheduling, CMOS, Logic gate and Electronic circuit.
His biological study spans a wide range of topics, including Energy consumption, Real-time computing and Distributed computing.
Xiaobo Sharon Hu has researched Energy consumption in several fields, including Efficient energy use, Embedded system, Low-power electronics and Voltage.
His CMOS research is multidisciplinary, incorporating perspectives in Computation and Content-addressable memory.
The concepts of his Logic gate study are interwoven with issues in Transistor, Nanomagnet and Resistive random-access memory.
His work deals with themes such as Computer architecture and Cellular automaton, which intersect with Electronic circuit.
He most often published in these fields:
- Electronic engineering (17.94%)
- Scheduling (16.41%)
- CMOS (15.27%)
What were the highlights of his more recent work (between 2018-2021)?
- CMOS (15.27%)
- Artificial neural network (6.11%)
- Efficient energy use (6.49%)
In recent papers he was focusing on the following fields of study:
CMOS, Artificial neural network, Efficient energy use, Content-addressable memory and Electronic engineering are his primary areas of study.
His research in CMOS intersects with topics in Electronic circuit, Non-volatile memory, Computer hardware, Logic gate and Transistor.
His Electronic circuit study is associated with Electrical engineering.
His Artificial neural network research incorporates elements of Variation, Computer architecture and Graphics processing unit.
Xiaobo Sharon Hu works mostly in the field of Efficient energy use, limiting it down to topics relating to Computation and, in certain cases, Computer engineering and Out of memory.
His Electronic engineering research is multidisciplinary, incorporating elements of Dynamic random-access memory and Reliability.
Between 2018 and 2021, his most popular works were:
- Resource Management for Improving Soft-Error and Lifetime Reliability of Real-Time MPSoCs (78 citations)
- Improving Availability of Multicore Real-Time Systems Suffering Both Permanent and Transient Faults (66 citations)
- Affinity-Driven Modeling and Scheduling for Makespan Optimization in Heterogeneous Multiprocessor Systems (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Computer network
His primary areas of study are Resistive random-access memory, Artificial neural network, CMOS, Scheduling and Logic gate.
The various areas that Xiaobo Sharon Hu examines in his CMOS study include Transistor and Non-volatile memory.
In general Scheduling study, his work on Dynamic priority scheduling often relates to the realm of Schedule and Dissemination, thereby connecting several areas of interest.
Electronic engineering covers Xiaobo Sharon Hu research in Logic gate.
His Electronic engineering research is multidisciplinary, relying on both Neuromorphic engineering and Critical path method.
His Electrical engineering study which covers Dynamic demand that intersects with Electronic circuit.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
