Imran Chaudhri

What is he best known for?

The fields of study he is best known for:

• Operating system
• Artificial intelligence
• Graphical user interface

His primary areas of study are Human–computer interaction, Graphical user interface, User interface, Computer graphics and Gesture. In the field of Human–computer interaction, his study on 10-foot user interface overlaps with subjects such as Layer. His Graphical user interface study combines topics in areas such as Simulation, Embedded system and Current.

His biological study spans a wide range of topics, including Mode, Shell and Interface. In his study, Vertical bar is strongly linked to Electronic document, which falls under the umbrella field of Computer graphics. Artificial intelligence and Computer vision are inherently bound to his Gesture studies.

His most cited work include:

• Gestures for touch sensitive input devices (2545 citations)
• Touch screen device, method, and graphical user interface for determining commands by applying heuristics (2124 citations)
• Unlocking a device by performing gestures on an unlock image (1402 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns User interface, Human–computer interaction, Graphical user interface, Computer graphics and Gesture. The concepts of his User interface study are interwoven with issues in Object, Multimedia, Interface and Mode. His work on 10-foot user interface, User interface design and Affordance as part of general Human–computer interaction research is often related to Layer, thus linking different fields of science.

His study in Simulation extends to Graphical user interface with its themes. His study in the fields of Scrolling under the domain of Computer graphics overlaps with other disciplines such as Icon. As part of his research on Gesture, studies on Computer vision and Artificial intelligence are part of the effort.

He most often published in these fields:

• User interface (41.25%)
• Human–computer interaction (28.19%)
• Graphical user interface (27.60%)

What were the highlights of his more recent work (between 2016-2020)?

• User interface (41.25%)
• Human–computer interaction (28.19%)
• Gesture (17.21%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in User interface, Human–computer interaction, Gesture, Interface and Computer vision. His study in User interface is interdisciplinary in nature, drawing from both Object, Acknowledgement, Multimedia and Computer hardware. Imran Chaudhri has researched Human–computer interaction in several fields, including Variety and Graphical user interface.

He has included themes like Electrical engineering and Display device in his Graphical user interface study. His Gesture research integrates issues from Computer graphics, Scrolling and SwIPe. His Computer vision research incorporates themes from Sensory cue and Artificial intelligence.

Between 2016 and 2020, his most popular works were:

• Polling extension application for interacting with a messaging application (10 citations)
• Handwriting keyboard for screens (8 citations)
• Message extension app store (7 citations)

In his most recent research, the most cited papers focused on:

• Operating system
• Artificial intelligence
• The Internet

Imran Chaudhri spends much of his time researching User interface, Gesture, Computer graphics, Human–computer interaction and Graphical user interface. The various areas that Imran Chaudhri examines in his User interface study include Acknowledgement, Computer hardware, Touchpad and Port. His Computer hardware research is multidisciplinary, incorporating elements of Interface and Realization.

Imran Chaudhri interconnects Mode and Home screen in the investigation of issues within Computer graphics. His Home screen research includes elements of Representation, Artificial intelligence and Computer vision. In general Human–computer interaction, his work in Affordance is often linked to Group, Electronic communication, Duration and User input linking many areas of study.