What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- Programming language
Azam Khan mostly deals with Computer graphics, Artificial intelligence, Computer vision, Interaction technique and Human–computer interaction.
His Computer graphics study frequently links to related topics such as Cursor.
His Artificial intelligence research incorporates elements of Sensor array and Pattern recognition.
His work on Orientation, Cursor and Object as part of his general Computer vision study is frequently connected to Attention focus, thereby bridging the divide between different branches of science.
His Interaction technique research integrates issues from Smart camera, Interface, Affordance and Remote control.
Azam Khan combines subjects such as Graphical user interface, User interface and Tablet pc with his study of Human–computer interaction.
His most cited work include:
- Navigation system for a 3d virtual scene (200 citations)
- Tracking menus (140 citations)
- Boom chameleon: simultaneous capture of 3D viewpoint, voice and gesture annotations on a spatially-aware display (135 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Human–computer interaction and Visualization.
As a part of the same scientific study, he usually deals with the Artificial intelligence, concentrating on Set and frequently concerns with Algorithm and Representation.
His Computer vision course of study focuses on Graphical user interface and Menu bar.
His Computer graphics research focuses on Interaction technique and how it connects with Smart camera and Affordance.
His Human–computer interaction study combines topics in areas such as User interface, Multimedia, Computer graphics and Gesture.
His study in Visualization is interdisciplinary in nature, drawing from both Consistency, Feature, Position and Occupancy.
He most often published in these fields:
- Artificial intelligence (28.12%)
- Computer vision (23.96%)
- Computer graphics (19.79%)
What were the highlights of his more recent work (between 2016-2021)?
- Visualization (17.71%)
- Discrete event simulation (6.25%)
- DEVS (14.58%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Visualization, Discrete event simulation, DEVS, Occupancy and Visual analytics.
His studies deal with areas such as Facial expression and Biomedical engineering as well as Visualization.
His biological study deals with issues like Programming language, which deal with fields such as Workflow.
His biological study spans a wide range of topics, including Real-time computing, Multi-agent system, Data stream mining and Simulation.
His work carried out in the field of Simulation brings together such families of science as Field and Scripting language.
The study incorporates disciplines such as Multimedia, Knowledge transfer and Sensemaking in addition to Visual analytics.
Between 2016 and 2021, his most popular works were:
- Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs (28 citations)
- Annotation Graphs: A Graph-Based Visualization for Meta-Analysis of Data Based on User-Authored Annotations (21 citations)
- PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- Programming language
His primary areas of investigation include Data visualization, Visual analytics, Human Phenotype Ontology, Software and Discrete event simulation.
His Data visualization research is included under the broader classification of Visualization.
Azam Khan interconnects Multimedia and Sensemaking, Human–computer interaction in the investigation of issues within Visual analytics.
His Human Phenotype Ontology study overlaps with Context, Data mining, Cohort study and Age of onset.
Many of his studies on Software apply to DEVS as well.
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