What is he best known for?
The fields of study he is best known for:
- Operating system
- Electrical engineering
- Central processing unit
Bashir M. Al-Hashimi focuses on Electronic engineering, Real-time computing, Energy consumption, Embedded system and Energy harvesting.
Bashir M. Al-Hashimi connects Electronic engineering with Time constraint in his research.
The Real-time computing study combines topics in areas such as Wireless, Reduction, Field-programmable gate array, Forward error correction and System on a chip.
His Energy consumption research incorporates themes from Fault tolerance, Redundancy and Efficient energy use.
His Microcontroller study in the realm of Embedded system connects with subjects such as Exploit.
His biological study spans a wide range of topics, including Wireless sensor network, Environmental energy, Electrical engineering and Embedded software.
His most cited work include:
- Scan architecture with mutually exclusive scan segment activation for shift- and capture-power reduction (189 citations)
- Variable-length input Huffman coding for system-on-a-chip test (162 citations)
- Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems (160 citations)
What are the main themes of his work throughout his whole career to date?
Bashir M. Al-Hashimi mainly focuses on Electronic engineering, Embedded system, Energy consumption, Voltage and Efficient energy use.
His Electronic engineering research focuses on Energy harvesting and how it relates to Wireless sensor network.
Embedded system is often connected to Software in his work.
His research in Energy consumption intersects with topics in Distributed computing, Real-time computing and Multi-core processor.
Dynamic voltage scaling and Transistor are the primary areas of interest in his Voltage study.
His research links Workload with Efficient energy use.
He most often published in these fields:
- Electronic engineering (35.52%)
- Embedded system (20.59%)
- Energy consumption (11.09%)
What were the highlights of his more recent work (between 2014-2021)?
- Embedded system (20.59%)
- Efficient energy use (9.28%)
- Energy consumption (11.09%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Embedded system, Efficient energy use, Energy consumption, Distributed computing and Electronic engineering.
His Embedded system study deals with Software intersecting with Power management.
As a part of the same scientific study, Bashir M. Al-Hashimi usually deals with the Efficient energy use, concentrating on Workload and frequently concerns with Energy management and Real-time computing.
His study looks at the relationship between Energy consumption and topics such as Thread, which overlap with Instruction set.
His work carried out in the field of Electronic engineering brings together such families of science as Voltage, Energy harvesting and Power gating.
He studied Energy harvesting and Microcontroller that intersect with Transient.
Between 2014 and 2021, his most popular works were:
- Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems (160 citations)
- Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices (97 citations)
- Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs (51 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Electrical engineering
- Central processing unit
His scientific interests lie mostly in Energy consumption, Electronic engineering, Embedded system, Real-time computing and Frequency scaling.
His Energy consumption study also includes fields such as
- Distributed computing that intertwine with fields like Scheduling, Redundancy and Modular design,
- Workload together with Thread, Efficient energy use and Access time,
- Multi-core processor that intertwine with fields like Schedule.
Bashir M. Al-Hashimi has included themes like Energy harvesting, Energy storage, Transistor, MOSFET and Electrical engineering in his Electronic engineering study.
Bashir M. Al-Hashimi interconnects Software and Reinforcement learning in the investigation of issues within Embedded system.
His Real-time computing research includes themes of Error detection and correction, Throughput and Computer engineering.
His study in Frequency scaling is interdisciplinary in nature, drawing from both Scalability and Benchmark.
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