Dr B J D Kalyani
Associate Professor
| Computer Science and Information Technology
Institute of Aeronautical Engineering
Telangana
Expertise:
Computer Science Information Systems
26
Publications
0
Projects
75
Scopus Citations
67
CrossRef
16 Years 2 Months Total Experience
Scopus
75
Citations
5
h-index
CrossRef
67
Citations
4
h-index
Google Scholar
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Professional Recognition
National Merit Certificate
2002
DOEACC
Bharat Education Excellence Award
2021
Brain O Vision Solutions Pvt Limited
Community & Membership
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IEI
Life MemberIEEE
MemberPersonal Details
Doctor of Philosophy
2020
Ajmal Khan Tibbiya College
Associate Professor
Mar 2021 – Present
Institute of Aeronautical Engineering
| Computer Science and Information Technology
Assistant Professor
Jul 2019 – Feb 2021
Priyadarshini Institute of Science & Technology for Women, Khammam
Assistant Professor
Jul 2010 – Jun 2019
Swarna Bharathi Institute of Science and Technology
Engineering and Technology
Scholarly Work
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A Cryptographic System Based On Convolution Neural Network And Nested Security Levels And Method Thereof
Sushma Jaiswal et al.
-
Application No. :
202141046111
Filed :
09-10-2021
Published :
30-11--0001
Published
stress detector and reducer wearable device using IoT
Indian Patent Office
-
Patent No. :
202141012073
Filed :
21-03-2021
Published :
26-03-2021
Published
Scholarly Publications
Performance aware algorithm design for elastic resource workflow management of cluster consolidation to handle enterprise big data
Open AccessCustomer vision with big data analytics
A novel method for prediction of skin disease through supervised classification techniques
Smart Multi-Model Emotion Recognition System with Deep learning
Scopus: 12
Analysis and Detection of Fraudulence Using Machine Learning Practices in Healthcare Using Digital Twin
Efficient Image Retrieval Technique with Local Edge Binary Pattern Using Combined Color and Texture Features
Data Mining Oriented Automatic Scientific Documents Summarization
Open Access
10.17762/ijritcc.v11i4.6395
Scopus: 1
Analysis of MRI brain tumor images using deep learning techniques
Showing 1 to 8 of 26 publications