What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Statistics
His primary areas of investigation include Wireless network, Real-time computing, Wireless sensor network, Communication channel and Computer network.
His work carried out in the field of Wireless network brings together such families of science as Tomographic reconstruction, Fading, Video tracking, Tracking and Algorithm.
Neal Patwari studied Real-time computing and Telecommunications that intersect with Estimation theory, Testbed and Sensor fusion.
By researching both Wireless sensor network and RSS, Neal Patwari produces research that crosses academic boundaries.
Neal Patwari has researched Communication channel in several fields, including Electronic engineering, Shared secret and 8-N-1.
His study looks at the intersection of Computer network and topics like Wireless with Tomography.
His most cited work include:
- Locating the nodes: cooperative localization in wireless sensor networks (2551 citations)
- Relative location estimation in wireless sensor networks (1647 citations)
- Radio Tomographic Imaging with Wireless Networks (644 citations)
What are the main themes of his work throughout his whole career to date?
Neal Patwari focuses on Wireless sensor network, Real-time computing, RSS, Wireless and Wireless network.
While the research belongs to areas of Wireless sensor network, he spends his time largely on the problem of Estimator, intersecting his research to questions surrounding Mean squared error.
Neal Patwari interconnects Telecommunications, Communication channel, Antenna, Electronic engineering and Efficient energy use in the investigation of issues within Real-time computing.
His Wireless study combines topics in areas such as Spread spectrum and Computer security.
His studies in Wireless network integrate themes in fields like Node, Algorithm, Multipath propagation and Tomographic reconstruction.
He works mostly in the field of Algorithm, limiting it down to topics relating to Fading and, in certain cases, Mesh networking, as a part of the same area of interest.
He most often published in these fields:
- Wireless sensor network (31.22%)
- Real-time computing (31.22%)
- RSS (28.57%)
What were the highlights of his more recent work (between 2016-2021)?
- Wireless (26.98%)
- RSS (28.57%)
- Real-time computing (31.22%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Wireless, RSS, Real-time computing, Wireless sensor network and Wireless network.
His Wireless research incorporates elements of Interference, Estimator, Communication channel and Flexibility.
The various areas that Neal Patwari examines in his Communication channel study include Quantization and Statistical model.
His work investigates the relationship between Real-time computing and topics such as Interference that intersect with problems in Adversary and Vibration.
Wireless sensor network is a primary field of his research addressed under Computer network.
As a member of one scientific family, Neal Patwari mostly works in the field of Wireless network, focusing on Bluetooth and, on occasion, Software-defined radio and Universal Software Radio Peripheral.
Between 2016 and 2021, his most popular works were:
- ARTI: An Adaptive Radio Tomographic Imaging System (27 citations)
- Detector Based Radio Tomographic Imaging (19 citations)
- Simultaneous Power-Based Localization of Transmitters for Crowdsourced Spectrum Monitoring (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Statistics
His scientific interests lie mostly in Wireless sensor network, Wireless, Algorithm, Wireless network and Real-time computing.
His Wireless sensor network study necessitates a more in-depth grasp of Computer network.
His work on Wireless data as part of general Wireless study is frequently linked to Experimental research, bridging the gap between disciplines.
His research in Algorithm intersects with topics in Detector, Detection theory, Reconstruction algorithm, Iterative reconstruction and Robustness.
His Wireless network research includes themes of Embedded system, Quantization, Bayesian probability and Shadow fading.
His work deals with themes such as Sampling, Signal and Bandwidth, which intersect with Real-time computing.
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