What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Computer network
His primary scientific interests are in Communication channel, Electronic engineering, Algorithm, Spread spectrum and Code division multiple access.
His Communication channel study integrates concerns from other disciplines, such as Signal-to-noise ratio and Computer network.
He has included themes like Underwater acoustic communication, MIMO, Orthogonal frequency-division multiplexing, Communications system and Multipath propagation in his Electronic engineering study.
Urbashi Mitra works on Algorithm which deals in particular with Estimation theory.
His research in Estimation theory intersects with topics in Mathematical optimization, Decoding methods and Sensor array.
His Code division multiple access research is multidisciplinary, incorporating perspectives in Demodulation, Real-time computing, Detector and Asynchronous communication.
His most cited work include:
- Residential Demand Response Using Reinforcement Learning (223 citations)
- Boundary estimation in sensor networks: theory and methods (184 citations)
- Sparse Channel Estimation with Zero Tap Detection (149 citations)
What are the main themes of his work throughout his whole career to date?
Urbashi Mitra spends much of his time researching Communication channel, Algorithm, Electronic engineering, Mathematical optimization and Computer network.
His research investigates the connection between Communication channel and topics such as Topology that intersect with issues in Relay.
His Algorithm research includes themes of Spread spectrum, Estimator, Statistics and Code division multiple access.
The various areas that he examines in his Electronic engineering study include Demodulation, Orthogonal frequency-division multiplexing and Equalization.
His Mathematical optimization study combines topics in areas such as Upper and lower bounds and Markov process.
As a member of one scientific family, Urbashi Mitra mostly works in the field of Computer network, focusing on Cognitive radio and, on occasion, Transmission.
He most often published in these fields:
- Communication channel (32.22%)
- Algorithm (31.56%)
- Electronic engineering (18.67%)
What were the highlights of his more recent work (between 2016-2021)?
- Algorithm (31.56%)
- Mathematical optimization (18.22%)
- Communication channel (32.22%)
In recent papers he was focusing on the following fields of study:
Urbashi Mitra mostly deals with Algorithm, Mathematical optimization, Communication channel, Estimator and Scheduling.
His studies deal with areas such as Rank, Matrix decomposition, Mean squared error, Sparse matrix and Noise measurement as well as Algorithm.
His studies in Mathematical optimization integrate themes in fields like Markov process, Wireless sensor network, State space, Inference and Wireless network.
His Wireless sensor network research is multidisciplinary, relying on both Efficient energy use and Gibbs sampling.
His Communication channel research incorporates elements of Narrowband and Topology.
His work deals with themes such as Sequential probability ratio test, Random variable, Control theory, Modulation and Asynchronous communication, which intersect with Estimator.
Between 2016 and 2021, his most popular works were:
- Active Classification: Theory and Application to Underwater Inspection (39 citations)
- Efficient Algorithms for Air-to-Ground Channel Reconstruction in UAV-Aided Communications (20 citations)
- Security Against False Data-Injection Attack in Cyber-Physical Systems (17 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Computer network
His scientific interests lie mostly in Mathematical optimization, Algorithm, Molecular communication, Estimator and Real-time computing.
The study incorporates disciplines such as Subspace topology, Wireless sensor network, State space and Selection in addition to Mathematical optimization.
His Algorithm study which covers Matrix decomposition that intersects with Sparse matrix.
His Estimator study incorporates themes from Scheduling, Random variable and Control theory.
Urbashi Mitra has researched Real-time computing in several fields, including Skew, Filter, Cyber-physical system and Wireless.
His Joint research is multidisciplinary, incorporating elements of Communication channel and Position.
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