Mr Phani Sridhar Addepalli
Associate Professor
| Department of Computer Science and Engineering
Aditya University
Andhra Pradesh
Expertise:
Computer Science Information Systems
15
Publications
0
Projects
25
Scopus Citations
23
CrossRef
16 Years 2 Months Total Experience
Scopus
25
Citations
2
h-index
CrossRef
23
Citations
3
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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CSI
LifeInternational Society for Research and Development (ISRD)
MemberPersonal Details
Master of Technology
2010
N/A
Bachelor of Technology
2007
N/A
Associate Professor
Jun 2018 – Present
Aditya University
| Department of Computer Science and Engineering
Assistant Professor
Jun 2017 – May 2018
Kakinada Institute of Technology & Science,Tirupathi Village, Divilli, Peddampuram (M), Pin-533433 (CC-JQ)
Assistant Professor
Jul 2010 – May 2017
Sanketika Vidya Parishad Engineering College
Engineering and Technology
Scholarly Work
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A Cloud Computing Technology-Based File Management And Uploading Method & Apparatus
Sushma Jaiswal et al.
-
Application No. :
202111046812
Filed :
13-10-2026
Published :
30-11--0001
Published
AN OPTIMIZATION FRAMEWORK: LOSSLESS LZW COMPRESSION TECHNIQUE OF MEDICAL DATA FOR EFFICIENT CLOUD STORAGE
Phani Sridhar Addepalli
Dr.P.V.Lakshmi
-
Application No. :
202241034570
Filed :
16-06-2022
Published :
24-06-2022
Filed
Scholarly Publications
Motor Vehicle Alert System in On-Campus Environments: Omniscient Vehicle Sensor
10.1007/978-981-19-4990-6_14
Scopus: 1
A Learning Model on Customer Churn Forecasting for Telecom Providers
Effective Medical Data Compression for Minimal Cloud Storage Using Versatile Compression Techniques
Smart Stick Assistive Technology for Blind or Visually Impaired Persons
Artificial Intelligence in Forensic Sciences: Bridging Systematic Challenges with Next-Generation Applications
Open AccessSecuring Machine Learning Ecosystems: Strategies for Building Resilient Systems
Open Access
10.1051/e3sconf/202449102033
Scopus: 2
MACHINE LEARNING-DRIVEN MODEL FOR IDENTIFYING DEPRESSION VIA SOCIAL NETWORK INFORMATION
Scopus: 2
AN IOT FRAMEWORK FOR ACCURATE DIAGNOSIS OF COVID-19 TO ELIMINATE FALSE POSITIVES USING RESNEXT
Showing 1 to 8 of 15 publications