Priyanka S Shivaramaiah

Assistant Professor

priyankas@rvu.edu.in

About
Publication & Works
Research Summary
Awards & Achievements

Priyanka S is an Assistant Professor at the School of Computer Science and Engineering, RV University. She holds a bachelor’s degree B. E in Information Science and Engineering and a master’s degree M. Tech in Computer Science and Engineering, both from Acharya Institute of Technology. With over 7 years of professional experience, she has cultivated a deep passion for teaching and a proven track record of academic excellence.
Her teaching journey spans multiple institutions, where she has consistently delivered exceptional results in Computer Science subjects. Known for her ability to simplify complex concepts, she excels at creating engaging and accessible learning experiences that inspire her students. She specializes in breaking down intricate technical topics into practical, actionable insights, equipping learners with the skills and knowledge needed to thrive in the tech industry.
By cultivating a learning environment that blends cutting-edge concepts with practical applications, she not only prepares her students for their professional careers but also instills in them a lifelong commitment to self-improvement and growth. She believes that building oneself and uplifting others are the keys to shaping a successful and impactful career in Computer Science.

Work hard in silence and let success be your noise

Patent filed on title of invention “Automatic recommendation system to overcome depression measured from social media posts using machine learning” Year: 2023

Published a paper “Review on Cluster Head Gateway Switch Routing Protocol (CGSR)” in Gradiva Review Journal, VOLUME 9 ISSUE 1 2023, PAGE NO: 646, ISSN NO : 0363-8057

Published a paper “Survey on Zone Routing Protocol ( ZRP )” in Gradiva Review Journal, VOLUME 9 ISSUE 1 2023, PAGE NO: 641, ISSN NO : 0363-8057.

Published a paper “Analysis of Effective Encryption Techniques for Attribute-Based System in Storage Cloud” in International Research Journal of Engineering and Technology, Volume:04 Issue: 05, May -2017.

Published a paper “Face Recognition for ATM Transaction” in International Journal of Research and Analytical Reviews, E-ISSN: 2348-1269, 2021.

Automatic recommendation system to overcome depression measured from social media posts using machine learning: This introduces an innovative Automatic Recommendation System designed to identify and mitigate depression by analyzing users' social media posts through advanced Machine Learning (ML) techniques. This system leverages natural language processing (NLP) and sentiment analysis to detect linguistic patterns, emotional cues, and behavioral indicators associated with depressive states within vast amounts of social media data.
Research Interests:
Artificial Intelligence and Machine Learning Cloud Computing and Security

Certificate of Completion on Foundation Program Workshop by Infosys Campus Connect.
Certification on Cloud Infrastructure (AWS) in collaboration with BrainOvision India Pvt Ltd and AICTE.
Certificate of Completion and Training on Software Testing- Manual Testing.
Certificate of Completion and Training on Python Programming Language.
Certificate of Completion and Training on Web Programming & Web Services.
Certificate of Completion and Training on Web Application Development