What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- The Internet
Shwetak N. Patel focuses on Embedded system, Simulation, Home automation, Gesture and Real-time computing.
His Embedded system study combines topics in areas such as Ubiquitous computing, File sharing and Energy consumption.
His Simulation research integrates issues from Energy harvesting, Touchscreen and Mobile phone.
Shwetak N. Patel has researched Home automation in several fields, including Location systems, Electric power transmission and Line.
Shwetak N. Patel has begun a study into Gesture, looking into Artificial intelligence and Computer vision.
His Gesture recognition research incorporates elements of Speech recognition, Wearable computer and Microphone.
His most cited work include:
- Experimental Security Analysis of a Modern Automobile (1159 citations)
- Whole-home gesture recognition using wireless signals (734 citations)
- ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home (350 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Electrical engineering, Computer vision, Ubiquitous computing and Human–computer interaction are his primary areas of study.
His study ties his expertise on Machine learning together with the subject of Artificial intelligence.
In his work, Electronics is strongly intertwined with Electronic engineering, which is a subfield of Electrical engineering.
Shwetak N. Patel is involved in the study of Computer vision that focuses on Gesture in particular.
The Ubiquitous computing study combines topics in areas such as Embedded system and Mobile computing.
His Human–computer interaction research incorporates themes from Multimedia and Mobile device.
He most often published in these fields:
- Artificial intelligence (18.08%)
- Electrical engineering (12.55%)
- Computer vision (12.55%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (18.08%)
- Computer vision (12.55%)
- Machine learning (3.69%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Computer vision, Machine learning, Benchmark and Artificial neural network.
His research integrates issues of Photoplethysmogram and Mobile device in his study of Artificial intelligence.
His studies deal with areas such as Input device, Smartwatch, Wearable computer and Finger movement as well as Computer vision.
His study looks at the relationship between Bottleneck and fields such as Labeled data, as well as how they intersect with chemical problems.
His Efficient energy use research is multidisciplinary, incorporating perspectives in Productivity and Computer security.
Shwetak N. Patel focuses mostly in the field of Real-time computing, narrowing it down to topics relating to Radar and, in certain cases, Acoustics.
Between 2017 and 2021, his most popular works were:
- Evaluating and Informing the Design of Chatbots (65 citations)
- Convey: Exploring the Use of a Context View for Chatbots (26 citations)
- FarmChat: A Conversational Agent to Answer Farmer Queries (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- The Internet
Shwetak N. Patel mainly investigates Artificial intelligence, Artificial neural network, Human–computer interaction, Usability and Efficient energy use.
His research in Artificial intelligence intersects with topics in Machine learning and Computer vision.
His Computer vision study combines topics from a wide range of disciplines, such as Input device and Smartwatch, Wearable computer.
His research investigates the connection with Artificial neural network and areas like Tracking which intersect with concerns in Microphone array, Speech recognition, Pilot signal, Gesture and Echo.
The study incorporates disciplines such as Bridge, F1 score, Activity recognition and Activities of daily living in addition to Human–computer interaction.
The concepts of his Usability study are interwoven with issues in Productivity, Knowledge management, Information needs and Computer security.
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