What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Artificial intelligence
- Algorithm
His primary areas of study are Electronic engineering, Field-programmable gate array, Embedded system, Voltage and Integrated circuit design.
Lei He mostly deals with Very-large-scale integration in his studies of Electronic engineering.
Lei He combines subjects such as Lookup table, Routing, Process variation and AND gate with his study of Field-programmable gate array.
He has researched Embedded system in several fields, including Clock rate, Reduction, Logic synthesis and Power optimization.
Lei He interconnects State of charge, Dynamic demand, System on a chip and Electronic circuit in the investigation of issues within Voltage.
His Integrated circuit design study also includes fields such as
- Low-power electronics that intertwine with fields like CMOS and Transistor,
- Power gating together with Sensitivity and Communication channel.
His most cited work include:
- Smart electric vehicle (ev) charging and grid integration apparatus and methods (420 citations)
- Performance optimization of VLSI interconnect layout (295 citations)
- Temperature and supply Voltage aware performance and power modeling at microarchitecture level (286 citations)
What are the main themes of his work throughout his whole career to date?
Electronic engineering, Algorithm, Field-programmable gate array, Mathematical optimization and Reduction are his primary areas of study.
His Electronic engineering study combines topics in areas such as Electronic circuit, Interconnection and RLC circuit.
His research investigates the connection with RLC circuit and areas like Inductance which intersect with concerns in Equivalent circuit and Topology.
His Algorithm research is multidisciplinary, incorporating elements of Process variation, Monte Carlo method, Importance sampling, Speedup and Robustness.
His Field-programmable gate array study incorporates themes from Lookup table, Logic synthesis and Parallel computing, Benchmark.
He studies Model order reduction, a branch of Reduction.
He most often published in these fields:
- Electronic engineering (25.51%)
- Algorithm (19.13%)
- Field-programmable gate array (18.62%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (4.34%)
- Field-programmable gate array (18.62%)
- Algorithm (19.13%)
In recent papers he was focusing on the following fields of study:
Lei He mainly focuses on Artificial intelligence, Field-programmable gate array, Algorithm, Pattern recognition and Communication channel.
His studies in Field-programmable gate array integrate themes in fields like Compiler, Control reconfiguration and Parallel computing.
His Algorithm research incorporates themes from Process variation, Sampling, Monte Carlo method, Importance sampling and Static random-access memory.
The concepts of his Process variation study are interwoven with issues in Circuit design and Cluster analysis.
His research integrates issues of Mathematical optimization, Speedup and Robustness in his study of Importance sampling.
His Communication channel research also works with subjects such as
- Transmitter power output which connect with Wiretap channels, Beamforming and Topology,
- Uniform distribution together with Signal,
- Secrecy which intersects with area such as Computer network.
Between 2015 and 2021, his most popular works were:
- Three-dimensional fracture propagation with numerical manifold method (116 citations)
- Probabilistic Model Checking and Scheduling Implementation of an Energy Router System in Energy Internet for Green Cities (56 citations)
- Displacement measurement techniques and numerical verification in 3D geomechanical model tests of an underground cavern group (46 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Algorithm
Lei He spends much of his time researching Communication channel, Algorithm, Structural engineering, Topology and Transmitter power output.
His work in Communication channel tackles topics such as Secure transmission which are related to areas like Artificial noise, Electronic engineering, Antenna diversity and Power optimization.
His studies deal with areas such as Dimension, Curse of dimensionality, Monte Carlo method, Importance sampling and Robustness as well as Algorithm.
His Monte Carlo method study also includes fields such as
- Sampling distribution which is related to area like Sampling,
- Circuit design, which have a strong connection to Mathematical optimization.
In his research on the topic of Importance sampling, Field-programmable gate array is strongly related with Speedup.
The Topology study combines topics in areas such as Uniform distribution, Signal and Constraint.
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.
