What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Computer network
The scientist’s investigation covers issues in Wireless sensor network, Sensor fusion, Artificial intelligence, Algorithm and Computer network.
His Wireless sensor network research is multidisciplinary, incorporating elements of Wireless, Wireless network, Key distribution in wireless sensor networks, Distributed computing and Sensor array.
His Sensor fusion research includes elements of Detection theory, Decision theory, Fusion rules, Copula and Robustness.
The study incorporates disciplines such as Machine learning, Data mining, Computer vision and Pattern recognition in addition to Artificial intelligence.
His Algorithm study also includes
- Estimator which intersects with area such as Kalman filter,
- Particle filter most often made with reference to Upper and lower bounds.
His Computer network research is multidisciplinary, incorporating perspectives in Energy consumption, Wireless ad hoc network and Efficient energy use.
His most cited work include:
- Distributed Detection and Data Fusion (1378 citations)
- A pairwise key pre-distribution scheme for wireless sensor networks (1077 citations)
- Optimal Data Fusion in Multiple Sensor Detection Systems (1018 citations)
What are the main themes of his work throughout his whole career to date?
Pramod K. Varshney mostly deals with Algorithm, Artificial intelligence, Wireless sensor network, Sensor fusion and Pattern recognition.
His Algorithm study which covers Detection theory that intersects with Electronic engineering.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Computer vision.
His study with Wireless sensor network involves better knowledge in Computer network.
Pramod K. Varshney regularly links together related areas like Distributed computing in his Computer network studies.
His research on Sensor fusion often connects related topics like Data mining.
He most often published in these fields:
- Algorithm (30.84%)
- Artificial intelligence (25.30%)
- Wireless sensor network (22.48%)
What were the highlights of his more recent work (between 2016-2021)?
- Algorithm (30.84%)
- Wireless sensor network (22.48%)
- Artificial intelligence (25.30%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Algorithm, Wireless sensor network, Artificial intelligence, Detector and Compressed sensing.
His Algorithm study combines topics in areas such as Detection theory, Probability density function and Code.
His biological study spans a wide range of topics, including Wireless, Fusion center, Network topology, Energy and Real-time computing.
His Real-time computing research incorporates themes from False alarm and Sensor fusion.
His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence.
In his research on the topic of Machine learning, Distributed computing is strongly related with Inference.
Between 2016 and 2021, his most popular works were:
- Data Falsification Attacks on Consensus-Based Detection Systems (36 citations)
- Sparse Signal Detection With Compressive Measurements via Partial Support Set Estimation (33 citations)
- Autonomous Fall Detection With Wearable Cameras by Using Relative Entropy Distance Measure (32 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Algorithm, Wireless sensor network, Artificial intelligence, Detector and Communication channel are his primary areas of study.
His studies in Algorithm integrate themes in fields like Statistical hypothesis testing, Random variable, Detection theory, Tracking and Benchmark.
His Wireless sensor network study incorporates themes from Wireless, Probability density function, Quantization, Energy and Sensor fusion.
The Sensor fusion study combines topics in areas such as Computer security, Interpretability and Audit.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition.
Pramod K. Varshney has researched Detector in several fields, including Real-time computing and Likelihood-ratio test.
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