2010 - Fellow of the American Society of Mechanical Engineers
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 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.
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.
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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The status, challenges, and future of additive manufacturing in engineering
Wei Gao;Yunbo Zhang;Devarajan Ramanujan;Karthik Ramani.
Computer-aided Design (2015)
Three-dimensional shape searching: state-of-the-art review and future trends
Natraj Iyer;Subramaniam Jayanti;Kuiyang Lou;Yagnanarayanan Kalyanaraman.
Computer-aided Design (2005)
The evolution, challenges, and future of knowledge representation in product design systems
Senthil K. Chandrasegaran;Karthik Ramani;Ram D. Sriram;Imré HorváTh.
Computer-aided Design (2013)
Integrated Sustainable Life Cycle Design: A Review
Karthik Ramani;Devarajan Ramanujan;William Z. Bernstein;Fu Zhao.
Developing an engineering shape benchmark for CAD models
Subramaniam Jayanti;Yagnanarayanan Kalyanaraman;Natraj Iyer;Karthik Ramani.
Computer-aided Design (2006)
Remanufacturing of turbine blades by laser direct deposition with its energy and environmental impact analysis
J. Michael Wilson;Cecil Piya;Yung C. Shin;Fu Zhao.
Journal of Cleaner Production (2014)
Deep Learning 3D Shape Surfaces Using Geometry Images
Ayan Sinha;Jing Bai;Karthik Ramani.
european conference on computer vision (2016)
Methods, systems, and data structures for performing searches on three dimensional objects
Karthik Ramani;Natraj Iyer;Kuiyang Lou;Subramaniam Jayanti.
Integration of Sustainability Into Early Design Through the Function Impact Matrix
Srikanth Devanathan;Devarajan Ramanujan;William Z. Bernstein;Fu Zhao.
Journal of Mechanical Design (2010)
DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features
Ayan Sinha;Chiho Choi;Karthik Ramani.
computer vision and pattern recognition (2016)
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