What is he best known for?
The fields of study he is best known for:
- Operating system
- Internal medicine
- Surgery
Rajesh Gupta spends much of his time researching Embedded system, Energy consumption, Real-time computing, Surgery and Scheduling.
His biological study focuses on System on a chip.
His study in Energy consumption is interdisciplinary in nature, drawing from both Electronic engineering, Computer network, Latency and Efficient energy use.
Rajesh Gupta has included themes like Mobile agent, Distributed computing, Occupancy and HVAC control system, HVAC in his Real-time computing study.
In his research on the topic of Hardware architecture, Controller and Concurrency is strongly related with Computer hardware.
His Software research includes themes of Hardware description language and Component.
His most cited work include:
- NV-Heaps: making persistent objects fast and safe with next-generation, non-volatile memories (666 citations)
- Leakage aware dynamic voltage scaling for real-time embedded systems (522 citations)
- Hardware-software cosynthesis for digital systems (508 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Embedded system, Parallel computing, Surgery, Software and Real-time computing.
The concepts of his Embedded system study are interwoven with issues in Computer architecture and Scheduling.
Many of his studies on Parallel computing apply to High-level synthesis as well.
His Surgery study typically links adjacent topics like Radiology.
Rajesh Gupta combines subjects such as Wireless sensor network and Distributed computing with his study of Real-time computing.
He most often published in these fields:
- Embedded system (15.44%)
- Parallel computing (9.07%)
- Surgery (7.65%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (2.55%)
- Building automation (2.69%)
- Distribution networks (5.10%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Building automation, Distribution networks, Metadata and Software.
His work investigates the relationship between Building automation and topics such as Node that intersect with problems in Sensor node, Wireless, Energy harvesting and Wireless sensor network.
His studies examine the connections between Sensor node and genetics, as well as such issues in Quality of service, with regards to Distributed computing.
His research integrates issues of Reliability, Reliability engineering and Mathematical optimization in his study of Distribution networks.
His Field-programmable gate array study incorporates themes from Workflow and Parallel computing.
His Energy storage research incorporates themes from Real-time computing and Reinforcement learning.
Between 2015 and 2021, his most popular works were:
- Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs (233 citations)
- Brick: Towards a Unified Metadata Schema For Buildings (98 citations)
- SnaPEA: predictive early activation for reducing computation in deep convolutional neural networks (90 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Internal medicine
- Programming language
Rajesh Gupta mainly focuses on Building automation, Delamanid, Tuberculosis, Parallel computing and Wireless sensor network.
His Building automation research incorporates elements of Data modeling, Automation, Metadata, Conditional random field and Semantic data model.
His Delamanid study also includes
- Intensive care medicine and related Treatment outcome, Endovascular interventions and Hepatology,
- Regimen, which have a strong connection to Clinical trial,
- Sputum culture which is related to area like Placebo, Drug resistance, Drug, Mycobacterium tuberculosis and Internal medicine.
His studies in Parallel computing integrate themes in fields like Field-programmable gate array, Compiler and Efficient energy use.
His studies deal with areas such as Genetic algorithm, Contamination, Flow, Node and Risk assessment as well as Wireless sensor network.
His research investigates the connection between Wireless and topics such as Battery that intersect with problems in Embedded system.
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