What is he best known for?
The fields of study he is best known for:
- Algorithm
- Central processing unit
- Artificial intelligence
His primary scientific interests are in Embedded system, Electronic engineering, Low-power electronics, Parallel computing and Integrated circuit design.
His Embedded system research is multidisciplinary, relying on both Instruction set, Computer architecture and Multi-core processor.
His Electronic engineering study combines topics in areas such as Voltage and Leakage.
Massimo Poncino interconnects Battery, Discrete event simulation, Reliability engineering and Minification in the investigation of issues within Low-power electronics.
His study looks at the relationship between Parallel computing and topics such as Computer engineering, which overlap with Power optimization, Benchmark, Bus encoding and Encoding.
His Integrated circuit design study incorporates themes from Transistor, Electronic circuit and Very-large-scale integration.
His most cited work include:
- A discrete-time battery model for high-level power estimation (140 citations)
- SystemC cosimulation and emulation of multiprocessor SoC designs (128 citations)
- Discrete-time battery models for system-level low-power design (121 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Electronic engineering, Embedded system, CMOS, Electronic circuit and Logic gate.
His studies deal with areas such as Digital electronics, Transistor, Power gating and Low-power electronics as well as Electronic engineering.
His Power gating research includes elements of Negative-bias temperature instability and Leakage.
The concepts of his Embedded system study are interwoven with issues in Computer architecture, Distributed computing and Cache.
His Logic gate research is under the purview of Algorithm.
In his research, Finite-state machine is intimately related to Theoretical computer science, which falls under the overarching field of Algorithm.
He most often published in these fields:
- Electronic engineering (29.72%)
- Embedded system (18.16%)
- CMOS (12.03%)
What were the highlights of his more recent work (between 2015-2021)?
- Efficient energy use (7.55%)
- Battery (8.25%)
- Electronic engineering (29.72%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Efficient energy use, Battery, Electronic engineering, Artificial intelligence and Energy consumption.
The study incorporates disciplines such as Electronic circuit, Mathematical optimization, Greedy algorithm and Computer engineering in addition to Efficient energy use.
His research in Battery focuses on subjects like Automotive engineering, which are connected to Range.
The various areas that Massimo Poncino examines in his Electronic engineering study include Maximum power point tracking and Voltage.
His work on Deep learning as part of general Artificial intelligence research is frequently linked to Work, bridging the gap between disciplines.
Massimo Poncino focuses mostly in the field of Threshold voltage, narrowing it down to matters related to Design flow and, in some cases, SystemC.
Between 2015 and 2021, his most popular works were:
- Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles (16 citations)
- A circuit-equivalent battery model accounting for the dependency on load frequency (16 citations)
- CONTREX: Design of Embedded Mixed-Criticality CONTRol Systems under Consideration of EXtra-Functional Properties (16 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Artificial intelligence
- Central processing unit
Massimo Poncino focuses on Efficient energy use, Smart system, Distributed computing, Battery and Real-time computing.
His Efficient energy use research incorporates elements of Adiabatic logic, Electronic circuit, Computer engineering, Logic gate and Voltage.
His Distributed computing research includes themes of Software deployment, Embedded system and Predictive maintenance.
In the subject of general Embedded system, his work in Transaction-level modeling is often linked to Modularity, thereby combining diverse domains of study.
Massimo Poncino studied Battery and Energy consumption that intersect with Range anxiety, Electric motor, Serial communication, Encoding and Parallel computing.
While the research belongs to areas of Photovoltaic system, Massimo Poncino spends his time largely on the problem of Control engineering, intersecting his research to questions surrounding Electronic engineering.
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.
