Dr L Kanya Kumari
Head of the Department
| Department of Computer Science and Engineering
Andhra Loyola Institute of Engineering & Technology, Polytechnic Post Office, Loyola Campus,Vijayawada, PIN-520008. (CC-HP)
Andhra Pradesh
Expertise:
Computer Science Artificial Intelligence
8
Publications
0
Projects
53
Scopus Citations
43
CrossRef
9 Years 3 Months Total Experience
Scopus
53
Citations
2
h-index
CrossRef
43
Citations
2
h-index
Google Scholar
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Professional Recognition
Best Teacher
2012
DVR & Dr Hs MIC College of Technology
National Eminent Young Researcher
2020
International Institute of Organized Research
Community & Membership
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ISSE
Life TimeISTE
MemberPersonal Details
Doctor of Philosophy
2023
National Service Scheme
Master of Technology
2012
N/A
Bachelor of Technology
2003
N/A
Head of the Department
Jun 2024 – Present
Andhra Loyola Institute of Engineering & Technology, Polytechnic Post Office, Loyola Campus,Vijayawada, PIN-520008. (CC-HP)
| Department of Computer Science and Engineering
Assistant Professor
Aug 2020 – Jun 2024
Andhra Loyola Institute of Engineering & Technology, Polytechnic Post Office, Loyola Campus,Vijayawada, PIN-520008. (CC-HP)
| Department of Information Technology
Lecturer
Jun 2003 – Jul 2006
Siddhartha Academy of Higher Education
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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Scholarly Publications
An Enhanced Mammogram Classification to Detect Breast Cancer using Boosted PSO Feature Selection and Multi-Feature Analysis
A Deep Convolutional Neural Network for Breast Cancer Detection in Mammograms
A Convolutional Neural Network for Mammogram based Breast Cancer Detection
10.1109/IDCIoT59759.2024.10467872
Scopus: 1
An adaptive teaching learning based optimization technique for feature selection to classify mammogram medical images in breast cancer detection
A Deep Convolutional Neural Network for COVID-19 Chest CT-Scan Image Classification
10.1007/978-981-16-9885-9_49
Crossref: 1
A Novel Approach for Detection of Tumors in Mammographic Images Using Fourier Descriptors and KNN
Usage of Mobile Phone Detection and Mailing System Using Deep Learning Techniques
Mammograms Classification Using Deep Neural Networks in Breast Cancer Detection
10.1007/978-3-031-94302-7_20
Scopus: 1