What is he best known for?
The fields of study he is best known for:
- Operating system
- Algorithm
- Central processing unit
Massoud Pedram spends much of his time researching Electronic engineering, Energy consumption, CMOS, Power and Algorithm.
The study incorporates disciplines such as Low-power electronics and Voltage in addition to Electronic engineering.
His study in Energy consumption is interdisciplinary in nature, drawing from both Scheduling, Real-time computing, Central processing unit and Embedded system.
His CMOS research is multidisciplinary, relying on both Electronic circuit, Circuit design and Integrated circuit.
His studies examine the connections between Algorithm and genetics, as well as such issues in Probabilistic logic, with regards to Conditional independence.
Massoud Pedram works mostly in the field of Electrical engineering, limiting it down to topics relating to Battery and, in certain cases, Automotive engineering.
His most cited work include:
- Low Power Design Methodologies (612 citations)
- Power minimization in IC design: principles and applications (481 citations)
- Thermal Modeling, Analysis, and Management in VLSI Circuits: Principles and Methods (332 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Electronic engineering, Electronic circuit, CMOS, Algorithm and Power.
The Electronic engineering study combines topics in areas such as Energy consumption, Electrical engineering and Voltage.
He has researched Energy consumption in several fields, including Distributed computing, Real-time computing, Efficient energy use and Embedded system.
His Electrical engineering study integrates concerns from other disciplines, such as Battery and Low-power electronics.
His Benchmark research extends to Electronic circuit, which is thematically connected.
Massoud Pedram combines topics linked to Integrated circuit design with his work on CMOS.
He most often published in these fields:
- Electronic engineering (33.57%)
- Electronic circuit (14.99%)
- CMOS (14.51%)
What were the highlights of his more recent work (between 2015-2021)?
- Electronic circuit (14.99%)
- Electronic engineering (33.57%)
- Algorithm (14.27%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Electronic circuit, Electronic engineering, Algorithm, Logic gate and Efficient energy use.
His Electronic circuit study also includes fields such as
- Josephson effect which intersects with area such as Logic family and Biasing,
- Rapid single flux quantum together with Logic synthesis.
He is interested in CMOS, which is a branch of Electronic engineering.
His Algorithm research includes themes of Artificial neural network, Inference, Throughput and Statistical static timing analysis.
His study on Efficient energy use also encompasses disciplines like
- Energy consumption which is related to area like Distributed computing, Cloud computing, Power management, Cache and Static random-access memory,
- Computer engineering and related Deep learning and Artificial intelligence.
His Voltage research is multidisciplinary, incorporating perspectives in Power and System on a chip.
Between 2015 and 2021, his most popular works were:
- A Near-Optimal Model-Based Control Algorithm for Households Equipped With Residential Photovoltaic Power Generation and Energy Storage Systems (69 citations)
- RAP-CLA: A Reconfigurable Approximate Carry Look-Ahead Adder (59 citations)
- Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers (54 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Algorithm
- Central processing unit
Massoud Pedram mostly deals with Electronic engineering, CMOS, Efficient energy use, Adder and Algorithm.
The various areas that he examines in his Electronic engineering study include Power, Electronic circuit, Wireless sensor network and Voltage.
His CMOS research is multidisciplinary, incorporating elements of Memristor, Lookup table, Neuromorphic engineering, Static timing analysis and Process variation.
His study in Efficient energy use is interdisciplinary in nature, drawing from both Computer engineering, Energy consumption, Register file, Computation and Kernel.
His studies deal with areas such as Scheduling, Cloud computing, Distributed computing and Renewable energy as well as Energy consumption.
His work in the fields of Algorithm, such as Finite impulse response, intersects with other areas such as Discrete cosine transform.
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