B. Janet
Also known as: Janet Barnabas
National Institute of Technology Tiruchirappalli
0000-0001-7030-9634
About
Dr. (Mrs.) B. Janet obtained her Undergraduate degree in B.Sc. (Physics) with Distinction from Holy Cross College, Trichy in 1999 from the Bharathidasan University, Tiruchirappalli and Postgraduate degree in Master of Computer Applications in 2002 from Bishop Heber College, with a university third rank from Bharathidasan University, Tiruchirappalli.
She started her research in Information Retrieval with a Master of Philosophy in Computer Science from Alagappa University, Karaikudi in 2005. She was awarded Ph. D. degree in 2012 by the National Institute of Technology, Tiruchirappalli.
She passed the National Eligibility Test for Lectureship (NET) of UGC in December 2001.
Since 2002, she has been a professional teacher. Now, she is an Assistant Professor in the Department of Computer Applications, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India. She has 10 years of teaching experience and 9 years of research experience. Her research interests include Information Retrieval, and Multimedia Mining.
She has visited Malaysia to present one of her research papers in a conference. She is also a reviewer for International Conference Papers. She is presently the Life member of Computer Society of India, International Association of Engineers and International Association of Computer Science and Information Technology. She is also an active member of IEEE.
Employment
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National Institute of Technology Tiruchirappalli Associate Professor2024 - Present
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National Institute of Technology Tiruchirappalli Assistant Professor2006 - 2024
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (129)
- Enhancing crime record analysis: Information extraction and categorisation using a fuzzy logic approach Save
- Generating 2D Floor Plan from Text Descriptions Save
- Intelligent Malware Detection Using Sentence Transformer and Hybrid Deep Learning Architecture Save
- Multi-Modal Emotion Classification using Late Fusion Model Save
- Noise filtering approach to improve handwritten digit recognition using customized CNN for Cerebral Palsy individuals Save
- Reducing noise using neighbourhood pixel analysis and interpretable custom kernel in CNN model for CP handwritten digit recognition Save
- A hybrid deep learning approach for online learners' recognition using screen name, and learners' emotion detection Save
- HPRXF Model: An Ensemble Transfer Learning-based Fusion model for handling Pandemic-related Calls received by the Emergency Response Support System Save
- IMCNN:Intelligent Malware Classification using Deep Convolution Neural Networks as Transfer learning and ensemble learning in honeypot enabled organizational network Save
- SSLnDO-Based Deep Residual Network and RV-Coe±cient Integrated Deep Fuzzy Clustering for Cotton Crop Classi¯cation Save