What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Operating system
- Database
Artificial intelligence, Computer vision, World Wide Web, Semantic gap and Cloud computing are her primary areas of study.
Chitra Dorai undertakes multidisciplinary studies into Artificial intelligence and Surface in her work.
Her work on Image processing and Noise as part of her general Computer vision study is frequently connected to Electrical capacitance tomography and Focus, thereby bridging the divide between different branches of science.
Her studies deal with areas such as Semantic reasoner and Conditioning as well as World Wide Web.
As a part of the same scientific family, Chitra Dorai mostly works in the field of Semantic gap, focusing on Search engine indexing and, on occasion, Speech recognition.
Her Cloud computing study incorporates themes from Partition and Firmware.
Her most cited work include:
- COSMOS-A representation scheme for 3D free-form objects (416 citations)
- System and method for multi-party validation, authentication and/or authorization via biometrics (143 citations)
- Rapid business support of insured property using image analysis (134 citations)
What are the main themes of her work throughout her whole career to date?
Chitra Dorai mainly focuses on Artificial intelligence, Computer vision, Multimedia, Speech recognition and World Wide Web.
Her biological study deals with issues like Natural language processing, which deal with fields such as Set.
Her Computer vision study frequently draws connections between adjacent fields such as Computer graphics.
Her study on Content management is often connected to Content analysis as part of broader study in Multimedia.
Her work carried out in the field of Film grammar brings together such families of science as Motion and Semantic gap.
Her Digital image research incorporates elements of Digital image processing, Feature detection and Automatic image annotation.
She most often published in these fields:
- Artificial intelligence (29.01%)
- Computer vision (22.90%)
- Multimedia (19.08%)
What were the highlights of her more recent work (between 2009-2020)?
- Data mining (6.11%)
- Process (6.11%)
- Computer program (3.82%)
In recent papers she was focusing on the following fields of study:
Chitra Dorai focuses on Data mining, Process, Computer program, Set and Computer network.
In her work, Code, Component oriented programming, Timestamp and Component is strongly intertwined with State, which is a subfield of Process.
Her study on Computer program also encompasses disciplines like
- Data processing system which is related to area like Computer security,
- Message broker together with Virtual machine.
Her study in Virtual machine is interdisciplinary in nature, drawing from both Cloud computing and Distributed computing.
Chitra Dorai focuses mostly in the field of Set, narrowing it down to topics relating to Operations research and, in certain cases, Score, Set, Value, Customer Contact and Statistical model.
The study incorporates disciplines such as Value and Stream processing in addition to Computer network.
Between 2009 and 2020, her most popular works were:
- Enabling service virtualization in a cloud (78 citations)
- Enablement and acceleration of live and near-live migration of virtual machines and their associated storage across networks (62 citations)
- Communications between virtual machines that have been migrated (61 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Database
Her primary scientific interests are in Cloud computing, Virtual machine, Set, Computer network and Computer program.
The concepts of her Cloud computing study are interwoven with issues in World Wide Web, Partition and Firmware.
Her World Wide Web research includes themes of Service catalog, Information technology and Software deployment.
Chitra Dorai has included themes like Automatic image annotation, Analog image processing, Color image and Artificial intelligence in her Virtual machine study.
Her work deals with themes such as Data processing system, Data mining and Communication channel, which intersect with Computer network.
Her Computer program research includes elements of Virtual network and Message broker.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
