Mrs N Venkata Sailaja
Assistant Professor
| Department of Computer Science and Engineering
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology
Telangana
Expertise:
Computer Science Software Engineering
25
Publications
0
Projects
65
Scopus Citations
52
CrossRef
20 Years 2 Months Total Experience
Scopus
65
Citations
5
h-index
CrossRef
52
Citations
5
h-index
Google Scholar
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ISTE
Life MembershipISOC
Life Member 2244899CSI
Life MemberPersonal Details
Doctor of Philosophy
2023
N/A
Master of Technology
2009
N/A
Bachelor of Technology
2003
N/A
Assistant Professor
Jun 2007 – Present
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology
| Department of Computer Science and Engineering
Assistant Professor
Jun 2004 – Apr 2005
Shri Vishnu Engineering College for Women, Vishnupur, Kovvada Village, Bhimavaram, PIN-534202(CC-B0)
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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Allelopathy- Aware IoT and Machine Learning based Crop Management system for Sustainable Multi- cropping and Weed Control
Dr. B V Kiranmayee
Dr. P Subhash
Dr. N V Sailaja
Ambilpur Vishal
Anumula Akhileshwar
Kothi Vaishnavi
Snigdha Kanula
-
Patent No. :
202541104925 A
Filed :
30-10-2025
Published :
28-11-2025
Published
VIRTUAL MOM – RESPONSIVE BABY MONITORING TOY
VNR VJIET
-
Application No. :
AK1007-P-02-IN
Filed :
09-05-2021
Published :
30-11--0001
Published
Scholarly Publications
HYBRID REGRESSION MODEL FOR MEDICAL INSURANCE COST PREDICTION AND RECOMMENDATION
Visual Narratives: Bridging Images and Stories Using NLP
10.1109/ICTBIG64922.2024.10911431
Crossref: 1
AI-Powered Germplasm Selection for Crops in Agriculture Using NLP
Building an Interactive Programming Learning Platform with MEAN Stack: Integrating Chatter Bots and Best Programming Practices
An advanced deep learning model for diagnosis of diabetic eye diseases using retinal fundus images
Advancing Audio Processing and Emotion Recognition through Deep Learning Techniques
Open AccessEnhanced Deep Learning Techniques for Intelligent Vehicle Damage Detection and Insurance Claim Estimation: A Comprehensive Review
Evaluation of Mechanical Damage Characterization, Automotive Panel Deformation and Repair Cost Estimation using Deep Learning Techniques
Open Access
Showing 1 to 8 of 25 publications