What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Artificial intelligence
- Mechanical engineering
Subhas Chandra Mukhopadhyay mostly deals with Wireless sensor network, Home automation, Wireless, Embedded system and Electronic engineering.
He is interested in Intelligent sensor, which is a branch of Wireless sensor network.
Subhas Chandra Mukhopadhyay combines subjects such as Computer security, Risk analysis, Wearable computer and Smart system with his study of Intelligent sensor.
His work carried out in the field of Home automation brings together such families of science as Automation, Pulse-code modulation, Activity recognition and Actuator.
His Wireless research incorporates themes from Automotive engineering, Roof and Range.
His research in Embedded system intersects with topics in Network architecture, Control and Voice command device.
His most cited work include:
- Wearable Sensors for Human Activity Monitoring: A Review (719 citations)
- Towards the Implementation of IoT for Environmental Condition Monitoring in Homes (439 citations)
- Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly (250 citations)
What are the main themes of his work throughout his whole career to date?
Subhas Chandra Mukhopadhyay mainly investigates Wireless sensor network, Electronic engineering, Home automation, Wireless and Planar.
His research on Wireless sensor network focuses in particular on Intelligent sensor.
Subhas Chandra Mukhopadhyay has researched Electronic engineering in several fields, including Electrical impedance and Capacitive sensing.
His research links Computer security with Home automation.
His Planar research spans across into fields like Acoustics, Nondestructive testing and Optoelectronics.
The study of Key distribution in wireless sensor networks is intertwined with the study of Computer network in a number of ways.
He most often published in these fields:
- Wireless sensor network (16.67%)
- Electronic engineering (12.73%)
- Home automation (12.36%)
What were the highlights of his more recent work (between 2017-2021)?
- Nanotechnology (6.55%)
- Optoelectronics (6.37%)
- Dielectric spectroscopy (8.24%)
In recent papers he was focusing on the following fields of study:
Subhas Chandra Mukhopadhyay mainly focuses on Nanotechnology, Optoelectronics, Dielectric spectroscopy, Capacitive sensing and Artificial intelligence.
His Nanotechnology study frequently intersects with other fields, such as Polymer.
His work often combines Optoelectronics and Planar studies.
Capacitive sensing and Electrical impedance are frequently intertwined in his study.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Doppler radar and Pattern recognition.
Between 2017 and 2021, his most popular works were:
- Graphene and its sensor-based applications: A review (182 citations)
- Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks (87 citations)
- Optimization of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications (73 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Mechanical engineering
His primary scientific interests are in Capacitive sensing, Electronic engineering, Artificial intelligence, Nanotechnology and Graphene.
His Capacitive sensing study combines topics from a wide range of disciplines, such as Kapton, Optoelectronics, Graphite, Biomedical engineering and Type 1 collagen.
His Electronic engineering study integrates concerns from other disciplines, such as Wearable sensing, Wearable computer, Laser cutting, Interdigitated electrode and Process.
His studies in Nanotechnology integrate themes in fields like LC circuit, Dielectric spectroscopy and Linear range.
His work deals with themes such as Process, Nanocomposite, Electronic circuit, Laser and Smart system, which intersect with Graphene.
His multidisciplinary approach integrates Well-being and Home automation in his work.
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