What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Artificial intelligence
His primary scientific interests are in Real-time computing, Embedded system, Operating system, Cache and Network on a chip.
Gokhan Memik interconnects Intrusion detection system, End user and Sonar in the investigation of issues within Real-time computing.
In Embedded system, Gokhan Memik works on issues like Android, which are connected to Mobile architecture.
His study on Cache is covered under Parallel computing.
Many of his research projects under Parallel computing are closely connected to Benchmarking with Benchmarking, tying the diverse disciplines of science together.
His Network on a chip research focuses on subjects like Crossbar switch, which are linked to Computer network, Network architecture, Nanophotonics and Topology.
His most cited work include:
- Firefly: illuminating future network-on-chip with nanophotonics (337 citations)
- Into the wild: studying real user activity patterns to guide power optimizations for mobile architectures (328 citations)
- Demo: indoor localization without infrastructure using the acoustic background spectrum (228 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Embedded system, Real-time computing, Parallel computing, Cache and Electronic engineering.
Gokhan Memik is interested in Field-programmable gate array, which is a branch of Embedded system.
His work carried out in the field of Real-time computing brings together such families of science as Power management, Hash function, Intrusion detection system, Power consumption and User experience design.
His study in the field of Cache-only memory architecture also crosses realms of Suite.
His Cache study which covers Energy consumption that intersects with Low-power electronics, Random access memory and Memory architecture.
His Electronic engineering research is multidisciplinary, incorporating perspectives in Chip and Voltage.
He most often published in these fields:
- Embedded system (22.98%)
- Real-time computing (21.12%)
- Parallel computing (16.15%)
What were the highlights of his more recent work (between 2013-2020)?
- Embedded system (22.98%)
- Real-time computing (21.12%)
- Electronic engineering (11.18%)
In recent papers he was focusing on the following fields of study:
His main research concerns Embedded system, Real-time computing, Electronic engineering, User experience design and Energy consumption.
The study incorporates disciplines such as Dram, Efficient energy use and Reliability in addition to Embedded system.
His studies deal with areas such as Power consumption, Android and Frame rate as well as Real-time computing.
His research in Energy consumption intersects with topics in Scalability, Random access memory and Cache.
His Scalability study combines topics from a wide range of disciplines, such as Auxiliary memory and Parallel computing.
Task is closely connected to Reduction in his research, which is encompassed under the umbrella topic of Cache.
Between 2013 and 2020, his most popular works were:
- Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components (44 citations)
- Galaxy: a high-performance energy-efficient multi-chip architecture using photonic interconnects (31 citations)
- Cascaded spintronic logic with low-dimensional carbon (25 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Artificial intelligence
The scientist’s investigation covers issues in Artificial neural network, Reduction, Embedded system, Android and Logic gate.
His biological study spans a wide range of topics, including Scheme, Computer engineering, Resistive random-access memory and Crossbar switch.
His Reduction study integrates concerns from other disciplines, such as Reliability, Linear regression, Cache, Data migration and Block.
He has researched Embedded system in several fields, including User experience design, Transfer and Static random-access memory.
His Android research includes elements of Power management, Real-time computing and Mobile device.
His work deals with themes such as Nanotechnology, Carbon nanotube and Graphene nanoribbons, which intersect with Logic gate.
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