IITKGP

Debasis Samanta

Professor

Computer Science and Engineering

+91-3222-282334

dsamanta@iitkgp.ac.in

Students, who are interested to do their research and post-doctorate in the field of BCI-HCI, may send their latest CV to me. |

Research Areas

  • Big Data Analytics
  • Biometric Cryptosystems
  • Human Computer Interaction
  • Computational Intelligence
  • Health Informatics
I have developed a methodology so that underprivileged people (such as primary-level school children and teachers, framers, shopkeepers, rickshaw pullers, domestic helpers, porters, etc.) in India can retrieve their information from the Internet. To
realize this, I have proposed the multi-modal interaction mechanism: text, speech and icon. With the text based interaction, English illiterate people can access Internet in their own mother languages. With speech-based interaction, language illiterate
people can interact to Internet with their speeches. Icon-based interaction has been devised for people, who can not read/write and even communicate with speech. With this interaction, users input their requirement by selecting icons (graphical symbols),
and results are furnished in visual forms. A user interface based on the proposed mechanism can be seen at http://www.nid.iitkgp.ernet.in/Bharati . I have proposed indexing mechanisms to retrieve unimodal and multimodal biometric data at a faster rate with a higher degree
of accuracy.
A number of automatic software testing methodologies based on UML models have been proposed. The model-based testing technique outperform the code-based techniques  in several aspects.
I have proposed a number of text entry mechanisms for text entry in the majority of Indian languages. Also, I have proposed an novel method of word prediction in Indian languages.
I have proposed a new methodology to apply biometric data to cryptographic application. The proposed methodology is suitable for data storage in distributed environment such as Cloud. Also, using biometric data of users I have developed accurate, efficient and robust authetication protocol and multiparty authentication for a shared resource have been introduced first time.
Presently, I am working on hands-free touch-free next generation man-machine interaction, in particular suitable for people with special needs. To do this, I propose to augment brain-computing interaction into the huamn-computer intercation strategy in several applications like e-learning, mental workload modeling, etc.
    No Record Found.

Principal Investigator

  • Multimodal Secure Access Mechanism for Group Enabled Cyber Systems in Defence Organization

Ph. D. Students

Alka Ranjan

Area of Research: Human Computer Interaction

Arun B

Area of Research: Brain Computing Interface

Baljeet Singh Cheema

Area of Research: Surveillance Using Artificial Intelligence

Deepak Mewada

Area of Research: Human Computer Interaction

Nilanjan Sinhababu

Area of Research: Big Data Mining

Nirendu Konar

Area of Research: Data Analytics in Management

Nishkal Prakash

Area of Research: Systems security and privacy

Peddi Santhoshkumar

Area of Research: Privacy and Security

Priyabrata Dash

Area of Research: Biometric Security

Soham Bandyopadhyay

Area of Research: Big Data Analysis

Sricheta Parui

Area of Research: Human Computer Interaction

Subhrasankar Chatterjee

Area of Research: Brain Computer Interface

Subrata Pain

Area of Research: Brain Computer Interface

Tutan Nama

Area of Research: Human Computer Intercation

MS Students

Sukanya Das

Area of Research: Human Computer Interaction