What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Artificial intelligence
- Thermodynamics
The scientist’s investigation covers issues in Electronic skin, Robot, Tactile sensor, Flexible electronics and Artificial intelligence.
Ravinder Dahiya works in the field of Robot, namely Robotics.
His research in Robotics tackles topics such as Computer vision which are related to areas like Cognitive robotics, Robotic sensing and Soft robotics.
He has researched Tactile sensor in several fields, including Electronic circuit, Backplane, Field-effect transistor, Spin coating and MOSFET.
His research integrates issues of Wafer, Polyimide and Electronics in his study of Flexible electronics.
His Support vector machine study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Software, bridging the gap between disciplines.
His most cited work include:
- Tactile Sensing—From Humans to Humanoids (1013 citations)
- Technologies for Printing Sensors and Electronics Over Large Flexible Substrates: A Review (583 citations)
- Directions Toward Effective Utilization of Tactile Skin: A Review (256 citations)
What are the main themes of his work throughout his whole career to date?
Ravinder Dahiya mainly investigates Optoelectronics, Flexible electronics, Tactile sensor, Electrical engineering and Electronics.
Ravinder Dahiya usually deals with Optoelectronics and limits it to topics linked to Transistor and Transducer.
His work deals with themes such as Wearable technology, Electronic skin, Nanowire and Wafer, which intersect with Flexible electronics.
The various areas that he examines in his Electronic skin study include Robot and Robotics.
His Tactile sensor study contributes to a more complete understanding of Artificial intelligence.
His study in Electronics is interdisciplinary in nature, drawing from both Electronic circuit and Miniaturization.
He most often published in these fields:
- Optoelectronics (25.81%)
- Flexible electronics (21.61%)
- Tactile sensor (21.61%)
What were the highlights of his more recent work (between 2019-2021)?
- Optoelectronics (25.81%)
- Flexible electronics (21.61%)
- PEDOT:PSS (5.81%)
In recent papers he was focusing on the following fields of study:
Ravinder Dahiya focuses on Optoelectronics, Flexible electronics, PEDOT:PSS, Nanotechnology and Composite material.
His Optoelectronics research is multidisciplinary, incorporating elements of Field-effect transistor, ISFET and Nanogenerator.
Ravinder Dahiya interconnects Transistor, Nanowire, Transfer printing and Electronics in the investigation of issues within Flexible electronics.
His Electronics study integrates concerns from other disciplines, such as Electronic skin and Wearable computer.
His work in Nanotechnology covers topics such as Wearable systems which are related to areas like Potentiometric titration.
His biological study spans a wide range of topics, including Electrical conductor, Resistive touchscreen and Tactile sensor.
Between 2019 and 2021, his most popular works were:
- Metal oxides based electrochemical pH sensors: Current progress and future perspectives (45 citations)
- A Wearable Supercapacitor Based on Conductive PEDOT:PSS-Coated Cloth and a Sweat Electrolyte. (44 citations)
- Soft eSkin: distributed touch sensing with harmonized energy and computing. (36 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Semiconductor
- Artificial intelligence
His main research concerns Composite material, Graphene, Wearable computer, Optoelectronics and Nanotechnology.
His Composite material study combines topics in areas such as Electrolyte and Supercapacitor.
His Graphene research is multidisciplinary, incorporating perspectives in Analytical chemistry and Biosensor.
The concepts of his Wearable computer study are interwoven with issues in Computer hardware, Printed electronics, Tactile sensor, Actuator and Electromagnetic coil.
Ravinder Dahiya is interested in Flexible electronics, which is a field of Optoelectronics.
His work on Coating as part of general Nanotechnology research is frequently linked to Metal, bridging the gap between disciplines.
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