WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Parvathaneni Naga Srinivasu
PeerJ Author & Reviewer
180 Points

Contributions by role

Author 135
Reviewer 45

Contributions by subject area

Artificial Intelligence
Autonomous Systems
Adaptive and Self-Organizing Systems
Clinical Trials
Evidence Based Medicine
Respiratory Medicine
Mental Health
Rehabilitation
Data Mining and Machine Learning
Data Science
Text Mining
Neural Networks

Parvathaneni Naga Srinivasu

PeerJ Author & Reviewer

Summary

P Naga Srinivasu has procured his bachelor's degree in computer science engineering from SSIET, JNTU Kakinada in the year 2011, and Masters in Computer Science Technology in 2013 from Gitam University, Visakhapatnam. He was awarded the Ph.D. degree for his thesis entitled "An Investigative Analysis of Automated Segmentation Approaches for Volumetric Estimation of damaged Regions in Astrocytoma cases Identified from the 2D Brain MR Image" by GITAM Deemed to be University and his areas of research include Biomedical Imaging, Image Enhancement, Image Segmentation, Object Recognition, Image Encryption, Optimization Algorithms, Soft computing, and Natural Language Processing. He is working as an Assistant Professor in the Department of Computer Science and Engineering, GIT, GITAM Deemed to be University, Visakhapatnam. He is a member of CSI, IAENG, IARA, and a regular reviewer for Scopus indexed journals like JCS and IJAIP, Inderscience. He is a guest editor for the special issues and books that are published in reputed publishers like Bentham Science, Springer, and Elsevier. He is a passionate researcher with several articles that are published in national and international journals alongside conferences.

PeerJ Contributions

  • Articles 1
August 2, 2021
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS
Parvathaneni Naga Srinivasu, Valentina Emilia Balas
https://doi.org/10.7717/peerj-cs.654