Dr Bhagavathula Meena
Associate Professor
| Computer Science and Engineering
Anil Neerukonda Institute Of Technology & Sciences
Andhra Pradesh
Expertise:
Computer Science Software Engineering
6
Publications
0
Projects
14
Scopus Citations
11
CrossRef
19 Years 11 Months Total Experience
Scopus
14
Citations
2
h-index
CrossRef
11
Citations
2
h-index
Google Scholar
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Professional Recognition
State 6th Rank
2017
AURCET
Community & Membership
TARANG 2020
Event Coordinator - Technical FestTARANG 2022
Event Coordinator - Technical FestComputer Society of India
Life MemberIEEE
MemberPersonal Details
Doctor of Philosophy
2024
Baba Farid University of Health Sciences, Faridkot
Master of Technology
2008
Baba Farid University of Health Sciences, Faridkot
Master of Science
2003
ICAR-National Institute of Natural Fibre Engineering and Technology
Bachelor of Science
2001
ICAR-National Institute of Natural Fibre Engineering and Technology
Associate Professor
Feb 2025 – Present
Anil Neerukonda Institute Of Technology & Sciences
| Computer Science and Engineering
Associate Professor
Jun 2019 – Jan 2025
Raghu Engineering College, Dakamarri Village, Bheemunipatnam Mandal,PIN-531162(CC-98)
Assistant Professor
Jan 2012 – Jun 2019
Anil Neerukonda Institute Of Technology & Sciences
Assistant Professor
Apr 2009 – Dec 2011
Vivekananda Institute of Technology and Science
Assistant Professor
Nov 2008 – Mar 2009
Anil Neerukonda Institute Of Technology & Sciences
Assistant Professor
Jan 2006 – Jan 2008
Pydah College (PG Courses)
Engineering and Technology
Scholarly Work
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AI-Powered System for Detecting & Classifying Plant Disease Using Image Processing Technique
Dr. Ganesh Babu Oorkavalan
Dr. B. Meena
Mrs. Madhavi Abhijit Mohite
Dr. Sangita Gautam Lade
Pramoth Kumar S
Ms. R. Padmapriya
Ashwini Pravin Navghane
Arivumalar Ravichandran
S Priya
Vincy Shamley Eben
-
Application No. :
202541049210
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
Soft Computing Particle Swarm Optimization based Approach for Classification of Handwritten Characters using Deep Learning Model
Open Access
A NOVEL METHOD TO AUTO CONFIGURE CONVOLUTION NEURAL NETWORK MODEL USING SOFT COMPUTING TECHNIQUE TO RECOGNIZE TELUGU HAND-WRITTEN CHARACTER FOR BETTER ACCURACY
A survey on deep learning methods and tools in image processing
Scopus: 2