What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- Artificial intelligence
His primary areas of study are Computer network, Distributed computing, Wireless network, Real-time computing and Network packet.
Computer network is closely attributed to Wireless in his work.
His Unicast study, which is part of a larger body of work in Distributed computing, is frequently linked to Set, bridging the gap between disciplines.
His Wireless network research incorporates themes from Wireless ad hoc network, Efficient energy use and Wireless lan.
His Wireless ad hoc network research includes themes of Data transmission and Hop.
His work carried out in the field of Real-time computing brings together such families of science as Queue, Queueing theory, Accelerometer and Packet switching.
His most cited work include:
- Minimum energy paths for reliable communication in multi-hop wireless networks (335 citations)
- Method and apparatuf for load sharing in wireless access networks based on dynamic transmission power adjustment of access points (214 citations)
- MRPC: maximizing network lifetime for reliable routing in wireless environments (205 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Distributed computing, Wireless network, Real-time computing and Human–computer interaction.
His Computer network study incorporates themes from Wireless and Wireless mesh network.
Key distribution in wireless sensor networks is closely connected to Wireless sensor network in his research, which is encompassed under the umbrella topic of Distributed computing.
His study in Wireless network is interdisciplinary in nature, drawing from both Wireless ad hoc network, Efficient energy use and Hop.
His Human–computer interaction study combines topics in areas such as Key and Gesture.
His biological study spans a wide range of topics, including Paging and Mobile IP.
He most often published in these fields:
- Computer network (29.75%)
- Distributed computing (19.94%)
- Wireless network (12.88%)
What were the highlights of his more recent work (between 2016-2021)?
- Human–computer interaction (10.74%)
- Artificial intelligence (10.43%)
- Key (6.13%)
In recent papers he was focusing on the following fields of study:
Archan Misra mostly deals with Human–computer interaction, Artificial intelligence, Key, Wearable computer and Smartwatch.
His study in the field of Modality and Usability is also linked to topics like Set and Corrective feedback.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Computer vision.
His research integrates issues of Real-time computing, Outlier and Accelerometer in his study of Key.
His work deals with themes such as Predictive analytics, Event and Smart city, which intersect with Real-time computing.
His work in Smartwatch addresses subjects such as Wearable technology, which are connected to disciplines such as Ubiquitous computing and Activity recognition.
Between 2016 and 2021, his most popular works were:
- BreathPrint: Breathing Acoustics-based User Authentication (52 citations)
- Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation (41 citations)
- Breathing-Based Authentication on Resource-Constrained IoT Devices using Recurrent Neural Networks (35 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Artificial intelligence
His scientific interests lie mostly in Artificial intelligence, Smartwatch, Deep learning, Wearable computer and Human–computer interaction.
His Artificial intelligence study integrates concerns from other disciplines, such as Server, Computer vision and Pattern recognition.
Archan Misra has researched Smartwatch in several fields, including Ubiquitous computing, Machine learning and Gesture, Gesture recognition.
His research investigates the connection between Wearable computer and topics such as Energy harvesting that intersect with issues in Key.
His Human–computer interaction research focuses on Inertial measurement unit and how it connects with Simulation and Wireless.
While the research belongs to areas of Hidden Markov model, Archan Misra spends his time largely on the problem of Recurrent neural network, intersecting his research to questions surrounding Computer network.
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