R. Sathya Bama Krishna
VIDWAN ID: 322630

Dr R. Sathya Bama Krishna

Female Doctor of Philosophy
Associate Professor | School of Computing
Sathyabama Institute of Science and Technology
Tamil Nadu
Expertise: Computer Science Artificial Intelligence
41 Publications
1 Projects
154 Scopus Citations
100 CrossRef
22 Years Total Experience
Publications
41 Total
Articles
15
Proceedings
26
Activity

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Scopus Scopus
154 Citations
8 h-index
CrossRef CrossRef
100 Citations
6 h-index
Google Scholar Google Scholar

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Professional Recognition

INTERNATIONAL TEACHING EXCELLENCE AWARD 2023
2023
International Institute of Organized Research (I2OR)

Community & Membership

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ACM Membership
Annual
Jan 2024

Personal Details

Doctor of Philosophy
2020
N/A
Master of Engineering
2006
N/A
Bachelor of Engineering
2004
NATIONAL COUNCIL FOR CEMENT AND BUILDING MATERIALS
Associate Professor
Sep 2004 – Present
Sathyabama Institute of Science and Technology | School of Computing
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

Create awareness on cyber threats and security measures for online safety among school children
Other
Role: Co-Principal Investigator Grant: TPN No. 81333
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COIN OPERATED AUTOMATIC FACE MASK VENDING MACHINE

Dr.R. Sathya Bama Krishna
- Patent No. : 350555-001 Filed : 21-10-2004
Published : 21-11-2015 Published

Scholarly Publications

Decision support system using fuzzy min-max neural network with the modified genetic algorithm

Journal Article
Year: 2014. Volume: 9 , Issue: 2 , Pages: 285-294 .

Feature selection based on information theory for pattern classification

Conference Paper
ECS Transactions. Year: 2014. Pages: 1233-1236 .
Authors: R. Sathya Bama Krishna; M. Aramudhan

Comparative analysis on spectral unsupervised feature selection: A review

Journal Article
Year: 2015. Volume: 10 , Issue: 2 , Pages: 2235-2240 .

Hybrid method for moving object exploration in dynamic scene: A study

Journal Article
Year: 2015.
Authors: Shiyamala, R.; Sathyabama, R.; Bharathi, B.

Study of distance-based outlier detection

Journal Article
ARPN Journal of Engineering and Applied Sciences. Year: 2016. Volume: 11 , Issue: 15 , Pages: 9019-9021 .

Prognostic classification of tumor cells using an unsupervised model

Journal Article
Year: 2016. Volume: 2016 , Issue: Special Issue 2 , Pages: S148-S152 .

Detecting Cracks in Concrete Surfaces using Convolutional Neural Networks and Resnet 50

Conference Paper
ECS Transactions. Year: 2024. Pages: 409-415 .
Authors: Christopher Cyrus; Harini T; Sathya Bama Krishna

Multimodal Information Extraction:A systematic Review of subtask, modal types and applications based on Deep Learning in Banking sector

Conference Paper
ECS Transactions. Year: 2024.
Authors: Samundiswary Srinivsan; R Sathya Bama Krishna
Showing 1 to 8 of 41 publications