Assistant Professor

Dr Prasanthi Boyapati

Department of Computer Science and Engineering

Interests

  1. Medical Image Analysis
  2. Recommender Systems
  3. Content-Based Image Retrieval
  4. Sentiment Analysis

Faculty Details

Education

2006

Jawaharlal Nehru Technological University, Hyderabad(NIET)
India
BTech

2012

Jawaharlal Nehru Technological University, Kakinada(NIET)
India
MTech

2019

Acharya Nagarjuna University
Andhra Pradesh
India
PhD

Experience

  • Aug 2022 – Sep 2022 – Associate Professor – R.V.R&J.C College of Engineering, Guntur, Andhra Pradesh, India.
  • July 2013 – July 2022 – Assistant Professor – R.V.R&J.C College of Engineering, Guntur, Andhra Pradesh, India.
  • June 2012 – June 2013 – Assistant Professor – Vignan’s Nirula Institute of Engineering and Technology for Women, Guntur, Andhra Pradesh, India.
  • Sep 2010 – May 2012 – Assistant Professor – Mittapalli Institute of Engineering and Technology for Women, Guntur, Andhra Pradesh, India.
  • Sep 2008 – Aug 2010 – Assistant Professor – Nalandha Institute of Engineering and Technology , Guntur, Andhra Pradesh, India.

Research Interest

  • Extraction of Brain Tissues in High Resolution human MRI Brain Images
  • Design and Development of Computer Aided Diagnosis system for Brain Tumour Diseases.
  • Personalized recommender systems, specifically focused on reducing sparsity and improving the ranking quality of recommender systems.
  • Medical Image Segmentation

Awards & Fellowships

  • 2012- Gate Qualified
  • 2020 – Woman Academician Award – SOLETE
  • 2019- Best Researcher Award - Dr. Kasaraneni Sadasiva Rao Garu Excellence Award

Memberships

  • ISTE
  • ACM
  • IAENG

Publications

  • 1. B. Prasanthi, " IoT battery management system in electric vehicle based on LR parameter estimation and ORMeshNet gateway topology" Sustainable Energy Technologies and Assessments, Vol. 53, Part C, October 2022.- Elsevier-SCI Indexed
  • 2. B.Prasanthi, A. Harshavardhan, "LSGDM with Biogeography-Based Optimization(BBO) Model for Healthcare Applications" Journal of Healthcare Engineering, Vol. 2022
  • 3. B.Prasanthi,G. Sunitha, "Modeling of Chaotic Political Optimizer for Crop Yield Prediction" Intelligent Automation & Soft Computing, Vol. 34, Issue 1, April 2022, pp. 423-437.
  • 4. Deepak Kumar Jain, Prasanthi Boyapati, "An Intelligent Cognitive-Inspired Computing With Big Data Analytics Framework For Sentiment Analysis And Classification" Information Processing and Management, Vol.59, Issue 1, January 2022,102758.
  • 5. B.Prasanthi, Dr.N.Nagamalleswara Rao, "Segmentation of brain MRI using Gene-Fuzzy C-means Clustering algorithm", International Journal of Innovative Research in Computer and Communication Engineering.",Vol 5,Issue 6,2017.
  • 6. B.Prasanthi, Dr.N.Nagamalleswara Rao, “Enhanced and Explored Intuitionistic Rough Based Fuzzy C-means Approach for MR Brain Image Segmentation”, International Journal of Engineering & Technology, Volume 7 (3.12) (2018)
  • 7. B.Prasanthi, Dr.N.Nagamalleswara Rao, “Modified Intuitionistic Fuzzy C-means for MR Brain Image Segmentation”, Journal of Advanced Research in Dynamical and Control Systems(JARDCS), Volume 10, Number 04 (2018)
  • 8. B.Prasanthi, Dr.N.Nagamalleswara Rao “Optimal kernel based Neutrosophic Soft sets Clustering for Image Segmentation based on Pareto Optimal Algorithm”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume 8, Issue-4 (2019).
  • 9. B.Prasanthi, Dr.N.Nagamalleswara Rao “Intuitionistic Neutro Soft Rough Sets and Classical Regression Model for Brain Image Segmentation”,, International Journal of Recent Technology and Engineering(IJRTE). Volume - 7 , Issue -5C, 2019

Projects

  • 1. ACDN - Object Detection System: Automatic Object Detection System with Image Classification and Deep Neural Networks; Number: 202041050678; Country: India
  • 2. Cloud computing system for determining and initiating emergency responses in power plants, and method thereof; Number: 202141011587; Country: India

Contact Details

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