What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Composite material
- Mechanical engineering
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Product design, Engineering drawing and Information retrieval.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Sketch, Machine learning and Pattern recognition.
His Computer vision research is multidisciplinary, incorporating elements of Movement, Representation, Convolutional neural network and Solid modeling.
He has researched Product design in several fields, including Sustainable design, Engineering design process, Systems engineering and Process management.
His research investigates the link between Engineering drawing and topics such as Domain that cross with problems in Three dimensional shape and Word.
His Information retrieval research is multidisciplinary, relying on both Similarity criterion and Orthographic projection.
His most cited work include:
- The status, challenges, and future of additive manufacturing in engineering (991 citations)
- Three-dimensional shape searching: state-of-the-art review and future trends (447 citations)
- The evolution, challenges, and future of knowledge representation in product design systems (380 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Human–computer interaction, Composite material, Computer vision and Product design.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Pattern recognition.
The Human–computer interaction study which covers Sketch that intersects with Engineering drawing.
His Adhesive, Thermoplastic, Composite number, Polymer and Glass fiber study are his primary interests in Composite material.
His studies link Systems engineering with Product design.
His biological study spans a wide range of topics, including Design review, Product engineering and Engineering design process.
He most often published in these fields:
- Artificial intelligence (20.85%)
- Human–computer interaction (15.41%)
- Composite material (11.78%)
What were the highlights of his more recent work (between 2015-2021)?
- Human–computer interaction (15.41%)
- Artificial intelligence (20.85%)
- Augmented reality (4.83%)
In recent papers he was focusing on the following fields of study:
Karthik Ramani mainly investigates Human–computer interaction, Artificial intelligence, Augmented reality, Computer vision and Robot.
The Human–computer interaction study combines topics in areas such as Sketch, Situated and Workflow.
His Sketch study incorporates themes from Design education and 3D modeling.
His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
Karthik Ramani has researched Augmented reality in several fields, including User studies, Tracking, Real-time computing and Usability.
His Computer vision study combines topics in areas such as Representation and GRASP.
Between 2015 and 2021, his most popular works were:
- Deep Learning 3D Shape Surfaces Using Geometry Images (213 citations)
- DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features (124 citations)
- SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks (115 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Composite material
- Mechanical engineering
His primary areas of investigation include Artificial intelligence, Computer vision, Convolutional neural network, Simulation and Deep learning.
Karthik Ramani has included themes like Surface and Pattern recognition in his Artificial intelligence study.
His Computer vision research incorporates elements of Structure, Mobile device and GRASP.
The Convolutional neural network study combines topics in areas such as Parametrization, Geometry, Current and Image.
His Simulation study combines topics from a wide range of disciplines, such as Motion, Polygon mesh and Engineering drawing.
His work investigates the relationship between Gesture and topics such as Hand held that intersect with problems in Human–computer interaction.
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