Dr Raghavendra Chilamakur
Associate Professor
| Department of Computer Science and Engineering
CVR College of Engineering
(2021)
Telangana
Expertise:
Computer Science Information Systems
39
Publications
0
Projects
129
Scopus Citations
89
CrossRef
11 Years 6 Months Total Experience
Scopus
129
Citations
5
h-index
CrossRef
89
Citations
6
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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ISTE
Life MemberIAENG
Life MemberCSTA
Life MemberPersonal Details
Doctor of Philosophy
2020
Research and Information System for Developing Countreis
Master of Technology
2011
N/A
Bachelor of Technology
2008
N/A
Associate Professor
Mar 2021 – —
CVR College of Engineering
| Department of Computer Science and Engineering
Head of the Department
Jan 2017 – Mar 2021
Institute of Aeronautical Engineering
| Information Technology
Lecturer
Sep 2011 – Jan 2017
Jawaharlal Nehru Technological University, Anantapur
| Department of Computer Science and Engineering
Assistant Professor (Grade-I)
Sep 2010 – Aug 2011
Shri Sai Institute of Engineering and Technology, Vadiyampet, Anantapur
Engineering and Technology
Scholarly Work
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Enhanced Techniques for Iris Based Image Processing and Multi Modal Induced Security
C. Raghavendra
Dr. A Kumaravel
-
Application No. :
201941050609
Filed :
07-12-2019
Published :
30-11--0001
Published
IF-Pot: INTELLIGENT FISH POT TO DETECT THE FIVE PARAMETER USING DEEP LEARNING
Institute of Aeronautical Engineering
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Application No. :
201941036955
Filed :
13-09-2019
Published :
20-09-2019
Published
Scholarly Publications
Electron Microscopy Images for Automatic Bacterial Trichomoniasis Diagnostic Classification Separating and Sorting of Overlapping Microbes
A Novel Approach to Strengthening Web-Based Cloud Services: Two-Factor Access Control
Open AccessSafeguarding Log Data Integrity: Employing des Encryption Against Manipulation Attempts
Transformative Advancements: Sign Language Conversion to Text and Speech
Hanuma: An Advanced Safety Solution Using GPS and Sensor Technologies for Women's Security
A Comparative Study of Machine Learning Algorithms for Predicting Customer Churn: Analyzing Sequential, Random Forest, and Decision Tree Classifier Models
Fuzzy-Enhanced XGBoost Model for Classifying Kidney Disease Severity
Sensing Users Emotional Intelligence in Social Networks
Open Access
Showing 1 to 8 of 39 publications